Explore True Cost Accounting indicators and valuation methods across livestock systems.
| Nr | Reviewed by | Authors | Title | URL/DOI | Year of publication | Quality of publication | System boundary | Production system(s) | Animal species | Scope | Product (if applicable) | Country/region where case study is applied | Externality | Impact category | Impact on | Indicator | Sub-indicators | Method to quantify externalities | Model used to quantify externalities | Valuation method | Valuation data source(s) | Monetization factor value | Monetization factor unit | Uniform monetization factor | Monetization factor - scope | Year of data | Data quality - sample size | Data quality - sensitivity analysis | Data quality - quality of data source (e.g. database from national authority like CBS) | External costs - value | External costs - Unit | Uniform Unit | Scenario/context (if applicable) | Difficulties mentioned |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LV | Vissers et al. (2023) | A method for calculating the external costs of farm animal welfare based on the Welfare Quality® Protocol | https://doi.org/10.3389/fanim.2023.1195221 | 2023 | Peer-reviewed paper | Farm to farm-gate | Conventional | Dairy cattle | Farm | Not applicable | Germany | Social | Animal welfare | Social capital | Welfare quality index score | N.a. | Welfare Quality Protocol | Excel spreadsheet model | Abatement costs | Büro für Agrarsoziologie und Landwirtschaft (2019) | Monetization factor is non-linear and depends on animal welfare score of the system under analysis | euro/animal welfare score | Dairy farming system in Germany | 2019 | Not specified | Sensitivity analysis applied on welfare scores | Report (not peer reviewed) | 0.1 | Euro/kg milk | Euro/kg milk | Data availability (particularly on welfare scores) | ||
| 1 | LV | Vissers et al. (2023) | A method for calculating the external costs of farm animal welfare based on the Welfare Quality® Protocol | https://doi.org/10.3389/fanim.2023.1195221 | 2023 | Peer-reviewed paper | Farm to farm-gate | Organic | Dairy cattle | Farm | Not applicable | Germany | Social | Animal welfare | Social capital | Welfare quality index score | N.a. | Welfare Quality Protocol | Excel spreadsheet model | Abatement costs | Büro für Agrarsoziologie und Landwirtschaft (2019) | Monetization factor is non-linear and depends on animal welfare score of the system under analysis | euro/animal welfare score | Dairy farming system in Germany | 2019 | Not specified | Sensitivity analysis applied on welfare scores | Report (not peer reviewed) | 0.02 | Euro/kg milk | Euro/kg milk | Data availability (particularly on welfare scores) | ||
| 1 | LV | Vissers et al. (2023) | A method for calculating the external costs of farm animal welfare based on the Welfare Quality® Protocol | https://doi.org/10.3389/fanim.2023.1195221 | 2023 | Peer-reviewed paper | Farm to farm-gate | Conventional | Pigs | Farm | Not applicable | The Netherlands | Social | Animal welfare | Social capital | Welfare quality index score | N.a. | Welfare Quality Protocol | Excel spreadsheet model | Abatement costs | Hoogstra (2018) | Monetization factor is non-linear and depends on animal welfare score of the system under analysis | euro/animal welfare score | Pig production system in the Netherlands | 2018 | 79 pig farms in the Netherlands | Sensitivity analysis applied on welfare scores | Thesis (not peer reviewed) | 1.36 | Euro/kg live weight | Euro/kg live weight | Data availability (particularly on welfare scores) | ||
| 1 | LV | Vissers et al. (2023) | A method for calculating the external costs of farm animal welfare based on the Welfare Quality® Protocol | https://doi.org/10.3389/fanim.2023.1195221 | 2023 | Peer-reviewed paper | Farm to farm-gate | 1-star Better Life | Pigs | Farm | Not applicable | The Netherlands | Social | Animal welfare | Social capital | Welfare quality index score | N.a. | Welfare Quality Protocol | Excel spreadsheet model | Abatement costs | Hoogstra (2018) | Monetization factor is non-linear and depends on animal welfare score of the system under analysis | euro/animal welfare score | Livestock production system | 2018 | 79 pig farms in the Netherlands | Sensitivity analysis applied on welfare scores | Thesis (not peer reviewed) | 1.32 | Euro/kg live weight | Euro/kg live weight | Data availability (particularly on welfare scores) | ||
| 1 | LV | Vissers et al. (2023) | A method for calculating the external costs of farm animal welfare based on the Welfare Quality® Protocol | https://doi.org/10.3389/fanim.2023.1195221 | 2023 | Peer-reviewed paper | Farm to farm-gate | Organic | Pigs | Farm | Not applicable | The Netherlands | Social | Animal welfare | Social capital | Welfare quality index score | N.a. | Welfare Quality Protocol | Excel spreadsheet model | Abatement costs | Hoogstra (2018) | Monetization factor is non-linear and depends on animal welfare score of the system under analysis | euro/animal welfare score | Livestock production system | 2018 | 79 pig farms in the Netherlands | Sensitivity analysis applied on welfare scores | Thesis (not peer reviewed) | 1 | Euro/kg live weight | Euro/kg live weight | Data availability (particularly on welfare scores) | ||
| 1 | LV | Vissers et al. (2023) | A method for calculating the external costs of farm animal welfare based on the Welfare Quality® Protocol | https://doi.org/10.3389/fanim.2023.1195221 | 2023 | Peer-reviewed paper | Farm to farm-gate | Conventional | Broilers (poultry) | Farm | Not applicable | The Netherlands | Social | Animal welfare | Social capital | Welfare quality index score | N.a. | Welfare Quality Protocol | Excel spreadsheet model | Abatement costs | Gocsik et al. (2016) | Monetization factor is non-linear and depends on animal welfare score of the system under analysis | euro/animal welfare score | Livestock production system | 2016 | 128 conventional, 28 1-star Better Life, 10 2-star Bettetr Life and 2 organic flocks in the Netherlands | Sensitivity analysis applied on welfare scores | Scientific paper | 4.52 | Euro/kg live weight | Euro/kg live weight | Data availability (particularly on welfare scores) | ||
| 1 | LV | Vissers et al. (2023) | A method for calculating the external costs of farm animal welfare based on the Welfare Quality® Protocol | https://doi.org/10.3389/fanim.2023.1195221 | 2023 | Peer-reviewed paper | Farm to farm-gate | 1-star Better Life | Broilers (poultry) | Farm | Not applicable | The Netherlands | Social | Animal welfare | Social capital | Welfare quality index score | N.a. | Welfare Quality Protocol | Excel spreadsheet model | Abatement costs | Gocsik et al. (2016) | Monetization factor is non-linear and depends on animal welfare score of the system under analysis | euro/animal welfare score | Livestock production system | 2016 | 128 conventional, 28 1-star Better Life, 10 2-star Bettetr Life and 2 organic flocks in the Netherlands | Sensitivity analysis applied on welfare scores | Scientific paper | 4.33 | Euro/kg live weight | Euro/kg live weight | Data availability (particularly on welfare scores) | ||
| 1 | LV | Vissers et al. (2023) | A method for calculating the external costs of farm animal welfare based on the Welfare Quality® Protocol | https://doi.org/10.3389/fanim.2023.1195221 | 2023 | Peer-reviewed paper | Farm to farm-gate | 2-star Better Life | Broilers (poultry) | Farm | Not applicable | The Netherlands | Social | Animal welfare | Social capital | Welfare quality index score | N.a. | Welfare Quality Protocol | Excel spreadsheet model | Abatement costs | Gocsik et al. (2016) | Monetization factor is non-linear and depends on animal welfare score of the system under analysis | euro/animal welfare score | Livestock production system | 2016 | 128 conventional, 28 1-star Better Life, 10 2-star Bettetr Life and 2 organic flocks in the Netherlands | Sensitivity analysis applied on welfare scores | Scientific paper | 4.12 | Euro/kg live weight | Euro/kg live weight | Data availability (particularly on welfare scores) | ||
| 1 | LV | Vissers et al. (2023) | A method for calculating the external costs of farm animal welfare based on the Welfare Quality® Protocol | https://doi.org/10.3389/fanim.2023.1195221 | 2023 | Peer-reviewed paper | Farm to farm-gate | Organic | Broilers (poultry) | Farm | Not applicable | The Netherlands | Social | Animal welfare | Social capital | Welfare quality index score | N.a. | Welfare Quality Protocol | Excel spreadsheet model | Abatement costs | Gocsik et al. (2016) | Monetization factor is non-linear and depends on animal welfare score of the system under analysis | euro/animal welfare score | Livestock production system | 2016 | 128 conventional, 28 1-star Better Life, 10 2-star Bettetr Life and 2 organic flocks in the Netherlands | Sensitivity analysis applied on welfare scores | Scientific paper | 3.67 | Euro/kg live weight | Euro/kg live weight | Data availability (particularly on welfare scores) | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Climate change | Natural capital, human capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | ReCiPe 2016 | Not specified | Damage costs | Umweltbundesamt (2020) | 0.195 | Euro/kg CO2 | Germany | 2020 | German society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.654642807 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Climate change | Natural capital, human capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | ReCiPe 2016 | Not specified | Damage costs | Umweltbundesamt (2020) | 0.195 | Euro/kg CO2 | Germany | 2020 | German society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.380355144 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Climate change | Natural capital, human capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | ReCiPe 2016 | Not specified | Damage costs | Umweltbundesamt (2020) | 0.195 | Euro/kg CO2 | Germany | 2020 | German society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 3.196595805 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Climate change | Natural capital, human capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | ReCiPe 2016 | Not specified | Damage costs | Umweltbundesamt (2020) | 0.195 | Euro/kg CO2 | Germany | 2020 | German society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 2.829071505 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Climate change | Natural capital, human capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | ReCiPe 2016 | Not specified | Damage costs | Umweltbundesamt (2020) | 0.195 | Euro/kg CO2 | Germany | 2020 | German society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.5433010635 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Climate change | Natural capital, human capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | ReCiPe 2016 | Not specified | Damage costs | Umweltbundesamt (2020) | 0.195 | Euro/kg CO2 | Germany | 2020 | German society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.261516996 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Climate change | Natural capital, human capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | ReCiPe 2016 | Not specified | Damage costs | Umweltbundesamt (2020) | 0.195 | Euro/kg CO2 | Germany | 2020 | German society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.703396668 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Climate change | Natural capital, human capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | ReCiPe 2016 | Not specified | Damage costs | Umweltbundesamt (2020) | 0.195 | Euro/kg CO2 | Germany | 2020 | German society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.297038196 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Climate change | Natural capital, human capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | ReCiPe 2016 | Not specified | Damage costs | Umweltbundesamt (2020) | 0.195 | Euro/kg CO2 | Germany | 2020 | German society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.2728641045 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Climate change | Natural capital, human capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | ReCiPe 2016 | Not specified | Damage costs | Umweltbundesamt (2020) | 0.195 | Euro/kg CO2 | Germany | 2020 | German society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.230158383 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Ozone depletion | Natural capital, human capital | kg CFC-11 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook | 30.4 | euro/kg CFC-11 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 6.900083168e-07 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Ozone depletion | Natural capital, human capital | kg CFC-11 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 30.4 | euro/kg CFC-11 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 6.944614608e-07 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Ozone depletion | Natural capital, human capital | kg CFC-11 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 30.4 | euro/kg CFC-11 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 8.340865328e-07 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Ozone depletion | Natural capital, human capital | kg CFC-11 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 30.4 | euro/kg CFC-11 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 7.545492496e-07 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Ozone depletion | Natural capital, human capital | kg CFC-11 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 30.4 | euro/kg CFC-11 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 7.28454376e-07 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Ozone depletion | Natural capital, human capital | kg CFC-11 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 30.4 | euro/kg CFC-11 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 7.883442e-07 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Ozone depletion | Natural capital, human capital | kg CFC-11 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 30.4 | euro/kg CFC-11 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 5.862968624e-07 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Ozone depletion | Natural capital, human capital | kg CFC-11 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 30.4 | euro/kg CFC-11 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 7.451972672e-07 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Ozone depletion | Natural capital, human capital | kg CFC-11 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 30.4 | euro/kg CFC-11 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.5639603456e-07 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Ozone depletion | Natural capital, human capital | kg CFC-11 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 30.4 | euro/kg CFC-11 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.8012857584e-07 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Ionising radiation | Natural capital, human capital | kBq U235 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.05 | Euro/kBq U235 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0013344695619 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Ionising radiation | Natural capital, human capital | kBq U235 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.05 | Euro/kBq U235 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0013266409982 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Ionising radiation | Natural capital, human capital | kBq U235 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.05 | Euro/kBq U235 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0016377769054 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Ionising radiation | Natural capital, human capital | kBq U235 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.05 | Euro/kBq U235 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0014149232819 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Ionising radiation | Natural capital, human capital | kBq U235 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.05 | Euro/kBq U235 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0014110849037 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Ionising radiation | Natural capital, human capital | kBq U235 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.05 | Euro/kBq U235 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0015055455555 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Ionising radiation | Natural capital, human capital | kBq U235 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.05 | Euro/kBq U235 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0011352204292 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Ionising radiation | Natural capital, human capital | kBq U235 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.05 | Euro/kBq U235 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0014229792108 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Ionising radiation | Natural capital, human capital | kBq U235 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.05 | Euro/kBq U235 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00030464834179 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Ionising radiation | Natural capital, human capital | kBq U235 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.05 | Euro/kBq U235 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00034490974452 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Photochemical ozone formation | Natural capital, human capital | kg NMVOC | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.15 | Euro/kg NMVOC | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.004716404725 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Photochemical ozone formation | Natural capital, human capital | kg NMVOC | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.15 | Euro/kg NMVOC | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00384966134 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Photochemical ozone formation | Natural capital, human capital | kg NMVOC | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.15 | Euro/kg NMVOC | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.02058350845 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Photochemical ozone formation | Natural capital, human capital | kg NMVOC | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.15 | Euro/kg NMVOC | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.02353295255 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Photochemical ozone formation | Natural capital, human capital | kg NMVOC | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.15 | Euro/kg NMVOC | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00447253285 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Photochemical ozone formation | Natural capital, human capital | kg NMVOC | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.15 | Euro/kg NMVOC | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00357577826 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Photochemical ozone formation | Natural capital, human capital | kg NMVOC | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.15 | Euro/kg NMVOC | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00473707954 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Photochemical ozone formation | Natural capital, human capital | kg NMVOC | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.15 | Euro/kg NMVOC | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.004020068685 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Photochemical ozone formation | Natural capital, human capital | kg NMVOC | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.15 | Euro/kg NMVOC | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.001427991455 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Photochemical ozone formation | Natural capital, human capital | kg NMVOC | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.15 | Euro/kg NMVOC | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.001406638715 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Particulate matter formation | Natural capital, human capital | kg PM10 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 39.2 | euro/kg PM10 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.32556303248 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Particulate matter formation | Natural capital, human capital | kg PM10 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 39.2 | euro/kg PM10 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.27930520576 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Particulate matter formation | Natural capital, human capital | kg PM10 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 39.2 | euro/kg PM10 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 2.6084491048 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Particulate matter formation | Natural capital, human capital | kg PM10 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 39.2 | euro/kg PM10 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 2.9261007384 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Particulate matter formation | Natural capital, human capital | kg PM10 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 39.2 | euro/kg PM10 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.41612956 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Particulate matter formation | Natural capital, human capital | kg PM10 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 39.2 | euro/kg PM10 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.432180392 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Particulate matter formation | Natural capital, human capital | kg PM10 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 39.2 | euro/kg PM10 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.333114054 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Particulate matter formation | Natural capital, human capital | kg PM10 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 39.2 | euro/kg PM10 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.399030324 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Particulate matter formation | Natural capital, human capital | kg PM10 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 39.2 | euro/kg PM10 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.19094345088 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Particulate matter formation | Natural capital, human capital | kg PM10 eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 39.2 | euro/kg PM10 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.19781715128 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Terrestrial acidification | Natural capital | kg SO2 eq | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 4.97 | euro/kg SO2 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.27911637789 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Terrestrial acidification | Natural capital | kg SO2 eq | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 4.97 | euro/kg SO2 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.24129672056 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Terrestrial acidification | Natural capital | kg SO2 eq | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 4.97 | euro/kg SO2 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 2.3829656018 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Terrestrial acidification | Natural capital | kg SO2 eq | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 4.97 | euro/kg SO2 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 2.6705883484 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Terrestrial acidification | Natural capital | kg SO2 eq | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 4.97 | euro/kg SO2 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.32060009317 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Terrestrial acidification | Natural capital | kg SO2 eq | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 4.97 | euro/kg SO2 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.32973563406 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Terrestrial acidification | Natural capital | kg SO2 eq | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 4.97 | euro/kg SO2 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.24571985655 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Terrestrial acidification | Natural capital | kg SO2 eq | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 4.97 | euro/kg SO2 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.29770781096 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Terrestrial acidification | Natural capital | kg SO2 eq | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 4.97 | euro/kg SO2 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.17736989179 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Terrestrial acidification | Natural capital | kg SO2 eq | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 4.97 | euro/kg SO2 eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.18480235781 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.86 | euro/kg P eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.000778240275 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.86 | euro/kg P eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00014246480652 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.86 | euro/kg P eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.005364766008 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.86 | euro/kg P eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.004938757002 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.86 | euro/kg P eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0007285658316 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.86 | euro/kg P eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0001288385451 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.86 | euro/kg P eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0008125159644 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.86 | euro/kg P eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00015869948916 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.86 | euro/kg P eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0003712659882 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 1.86 | euro/kg P eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0003164643618 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Marine eutrophication | Natural capital | kg N eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 3.11 | euro/kg N eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.06226648869 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Marine eutrophication | Natural capital | kg N eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 3.11 | euro/kg N eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.03962683939 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Marine eutrophication | Natural capital | kg N eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 3.11 | euro/kg N eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.6938479353 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Marine eutrophication | Natural capital | kg N eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 3.11 | euro/kg N eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.6515341772 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Marine eutrophication | Natural capital | kg N eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 3.11 | euro/kg N eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0495261591 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Marine eutrophication | Natural capital | kg N eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 3.11 | euro/kg N eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.03612028951 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Marine eutrophication | Natural capital | kg N eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 3.11 | euro/kg N eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.04194382049 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Marine eutrophication | Natural capital | kg N eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 3.11 | euro/kg N eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.03728458643 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Marine eutrophication | Natural capital | kg N eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 3.11 | euro/kg N eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.03818737278 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Marine eutrophication | Natural capital | kg N eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 3.11 | euro/kg N eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0337336413 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 8.69 | euro/ kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.21811391635 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 8.69 | euro/ kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0030349895389 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 8.69 | euro/ kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.29540431448 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 8.69 | euro/ kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.019770280959 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 8.69 | euro/ kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.25455605703 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 8.69 | euro/ kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00016992665844 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 8.69 | euro/ kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.23525702695 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 8.69 | euro/ kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00014657271794 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 8.69 | euro/ kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.02598258729 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 8.69 | euro/ kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0016880068645 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.04 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00025689695712 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.04 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.5635240315e-05 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.04 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0003622046931 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.04 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 6.32553586e-05 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.04 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00029712988728 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.04 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.1327803116e-05 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.04 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.00027921673516 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.04 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.3042935054e-05 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.04 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 3.1531811057e-05 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.04 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 3.98443281e-06 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.01 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.5002466343e-05 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.01 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 2.8062551737e-06 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.01 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 2.8406743943e-05 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.01 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.443068948e-05 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.01 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.6551750283e-05 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.01 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 2.5337703547e-06 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.01 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.5149670709e-05 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.01 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 2.8970844074e-06 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.01 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 2.1322760148e-06 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.01 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 8.135921474e-07 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.1 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.013401287054 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.1 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0021599903388 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.1 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.067037393119 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.1 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.039624092468 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.1 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0091822426994 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.1 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0006716007 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.1 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.009598664467 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.1 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0013049109438 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.1 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0043890296927 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.1 | euro/kg 1,4-DB eq | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0030569395829 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Land use | Natural capital | m2a | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.0845 | euro/m2a | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.287732950147363 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Land use | Natural capital | m2a | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.0845 | euro/m2a | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.454261154799082 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Land use | Natural capital | m2a | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.0845 | euro/m2a | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.331764490158225 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Land use | Natural capital | m2a | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.0845 | euro/m2a | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.542322592984113 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Land use | Natural capital | m2a | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.0845 | euro/m2a | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.237218302477176 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Land use | Natural capital | m2a | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.0845 | euro/m2a | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.4230559863738 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Land use | Natural capital | m2a | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.0845 | euro/m2a | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.235056942059414 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Land use | Natural capital | m2a | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.0845 | euro/m2a | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.498434777544503 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Land use | Natural capital | m2a | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.0845 | euro/m2a | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0364397033396734 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Land use | Natural capital | m2a | N.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | 0.0845 | euro/m2a | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.0632761070146563 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Product | Pork | Germany | Environmental | Total external costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | n.a. | n.a. | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.84793856360504 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Product | Pork | Germany | Environmental | Total external costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | n.a. | n.a. | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.40537794748845 | Euro/kg pork | Euro/kg pork | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Beef cattle | Product | Beef | Germany | Environmental | Total external costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | n.a. | n.a. | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 9.6040421415442 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Beef cattle | Product | Beef | Germany | Environmental | Total external costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | n.a. | n.a. | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 9.70897680884234 | Euro/kg beef | Euro/kg beef | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Product | Eggs | Germany | Environmental | Total external costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | n.a. | n.a. | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.83744007165381 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Product | Eggs | Germany | Environmental | Total external costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | n.a. | n.a. | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.48867563758051 | Euro/kg eggs | Euro/kg eggs | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Total external costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | n.a. | n.a. | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.81106680115275 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Broilers (poultry) | Product | Broiler meat | Germany | Environmental | Total external costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | n.a. | n.a. | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 1.53656561119793 | Euro/kg broiler meat | Euro/kg broiler meat | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Product | Milk | Germany | Environmental | Total external costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | n.a. | n.a. | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.74831386654047 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 2 | LV | Michalke et al. (2023) | True cost accounting of organic and conventional food production | https://doi.org/10.1016/j.jclepro.2023.137134 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Product | Milk | Germany | Environmental | Total external costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Not specified | Damage costs | Environmental Prices Handbook (2018) | n.a. | n.a. | Europe | 2015 | European society | Different pricing method (True Price foundation) used in sensitivity analysis and sensitivity anlaysis used regarding yield and manure application | Report (not peer reviewed) | 0.716605577826909 | Euro/kg milk | Euro/kg milk | Uncertainty related to monetization factors, no inclusion of market effects | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.4 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.16 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.03 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.1 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.77 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.1 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0006 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0093 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.15 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.04 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.12 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 4.8799 | Euro/kg pork loin | Euro/kg pork loin | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.4 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.16 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.03 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.1 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.77 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.1 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0006 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0093 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.15 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.04 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.12 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Pigs | Product | Pork loin | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 4.8799 | Euro/kg pork filet | Euro/kg pork filet | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.82 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.68 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.45 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0003 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0055 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.09 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.52 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.07 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dried sausages | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.7758 | Euro/kg dried sausage | Euro/kg dried sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.96 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.78 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.07 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.52 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.07 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0004 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0063 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.1 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.73 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.08 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Round of ham | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 3.3367 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.91 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.57 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.12 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.02 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.13 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0008 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0126 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.19 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.15 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.16 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Dry-cured ham | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 6.3034 | Euro/kg ham | Euro/kg ham | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.82 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.68 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.45 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0003 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0055 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.09 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.52 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.07 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Salami | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.7758 | Euro/kg salami | Euro/kg salami | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 5.69 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 3.72 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.25 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.17 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0008 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0143 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.19 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.58 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.58 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Multiple species (processed meat) | Product | Merguez sausage | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 14.2951 | Euro/kg sausage | Euro/kg sausage | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.32 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.4 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.03 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.27 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0003 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0073 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.23 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Layers | Product | Eggs | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.3876 | Euro/kg eggs | Euro/kg eggs | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.69 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.51 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.42 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0007 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0127 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.12 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.76 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Broilers (poultry) | Product | Chicken meat | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.6934 | Euro/kg broiler meat | Euro/kg broiler meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey meat | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.69 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.51 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.42 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0007 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0127 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.12 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.76 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Turkey (poultry) | Product | Turkey | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.6934 | Euro/kg turkey meat | Euro/kg turkey meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 4.03 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.29 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.03 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.17 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.35 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.05 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0005 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0093 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.11 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.11 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.31 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Beef cattle | Product | Beef | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 9.4598 | Euro/kg beef | Euro/kg beef | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 4.73 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 3.48 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.22 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.01 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.05 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0007 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0128 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.19 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.39 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.59 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Goats | Product | Goat meat | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 12.7135 | Euro/kg goat meat | Euro/kg goat meat | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 4.73 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 3.48 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.22 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.01 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.05 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0007 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0128 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.19 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.39 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.59 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Sheep | Product | Lamb | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 12.7135 | Euro/kg lamb | Euro/kg lamb | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.07 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.98 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.17 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.61 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.55 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.22 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk powder | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 4.63 | Euro/kg milk powder | Euro/kg milk powder | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.71 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.32 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.23 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0002 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0051 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.03 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.35 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.05 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Soft fresh cheese | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.7553 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.29 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.12 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.09 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0001 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0011 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.23 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Yogurt | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.7912 | Euro/kg yogurt | Euro/kg yogurt | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.22 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.09 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.07 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0001 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0014 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.17 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Milk | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.5815 | Euro/kg milk | Euro/kg milk | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.78 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.67 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.39 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0002 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.03 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.42 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.1 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Feta cheese | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.4502 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.82 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.36 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.27 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0003 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0058 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.43 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Gouda cheese | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.0561 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.74 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.33 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.25 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0003 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0053 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.37 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Blue cheese | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 1.8556 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.86 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.38 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.01 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.29 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0003 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0051 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.04 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.43 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Emmental cheese | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 2.1354 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.123 | euro/kg CO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.88 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | Acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 9.275 | euro/kg SO2 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.94 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | Freshwater eutrophication | Natural capital | kg PO4 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 15.32 | euro/kg PO4 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | Photochemical ozone formation | Human capital | Nox eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 5.67 | euro/kg NOx eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.06 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | Particulate matter formation | Human capital | PM2.5 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 37.1 | euro/PM 2.5 eq. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.57 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | Ecotoxicity freshwater | Natural capital | CTUe | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.00363 | eur/CTUe | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.02 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | human carcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 920000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0002 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | human noncarcinogenic toxicity | Human capital | CTUh | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 216000 | euro/CTUh | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.0023 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | Water use | Natural capital | m3 water extracted | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.74 | euro/m3 | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.1 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | Non-renewable resource use | Natural capital | kg oil | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.85 | euro/kg oil | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.55 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | 0.009922 | euro/m2a crop | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 0.08 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 3 | LV | Azarkamand et al. (2024) | Calculating the true costs of protein sources by integrating environmental costs and market prices | https://doi.org/10.1016/j.spc.2024.06.006 | 2023 | Peer-reviewed paper | Cradle to supermarket-gate | Conventional | Dairy cattle | Product | Goat cheese | France | Environmental | Total environmental costs | Natural and social capital | n.a. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Eco-costs 2023 | n.a. | n.a. | Not specified | 2023 | European Union | No sensitivity analysis applied | Website (not peer reviewed) | 3.2225 | Euro/kg cheese | Euro/kg cheese | Data quality (there are discrepancies in LCA-results) | ||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0566 | euro/kg CO2 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.184 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Ozone depletion | Social capital | kg CFC-11 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Environmental Prices Handbook (Bruyn et al. 2018) | 30.4 | euro/kg CFC-11 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 2.34e-06 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 4.97 | euro/kg SO2 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.3 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 1.86 | euro/kg P eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.000699 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Marine eutrophication | Natural capital | kg N eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 3.11 | euro/kg N eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0742 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0991 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.00966 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Photochemical ozone formation | Human capital | kg NMVOC | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 1.15 | euro/kg NMVOC | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0137 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Particulate matter formation | Human capital | kg PM10 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 39.2 | euro/kg PM10 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.378 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 8.69 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.128 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0361 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.000926 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.00739 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.000134 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Ionising radiation | Human capital | kBq U235 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0461 | euro/kBq U235 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.00258 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0845 | euro/m2a | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.261 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Water use | Natural capital | n.a. | n.a. | ReCiPe 2016 | Simapro | n.a. | Environmental Prices Handbook (Bruyn et al. 2018) | Was not monetized since environmental prices handbook does not provide a price for water use | n.a. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | not monetized | n.a. | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Colorectal cancer | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). | 0.0582975952298809 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Type 2 diabetes | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). LCA dtabase not mentioned | 0.23662657132685 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Stroke | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). LCA dtabase not mentioned | 0.179809770096246 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Environmental | Cardiovacular diseases | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). LCA dtabase not mentioned | 0 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Climate change | Natural and social capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs (abatement costs only for climate change) | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0566 | euro/kg CO2 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0648 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Ozone depletion | Human capital | kg CFC-11 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Environmental Prices Handbook (Bruyn et al. 2018) | 30.4 | euro/kg CFC-11 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 7.19e-07 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 4.97 | euro/kg SO2 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0691 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 1.86 | euro/kg P eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.000217 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Marine eutrophication | Natural capital | kg N eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 3.11 | euro/kg N eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0158 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0991 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.00516 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Photochemical ozone formation | Natural capital | kg NMVOC | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 1.15 | euro/kg NMVOC | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.00216 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Particulate matter formation | Natural capital | kg PM10 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 39.2 | euro/kg PM10 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0882 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 8.69 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.166 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0361 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.000251 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.00739 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 1.88e-05 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Ionising radiation | Natural capital | kBq U235 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0461 | euro/kBq U235 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.00086 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0845 | euro/m2a | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0833 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Environmental | Water use | Natural capital | n.a. | n.a. | ReCiPe 2016 | Simapro | n.a. | Environmental Prices Handbook (Bruyn et al. 2018) | Was not monetized since environmental prices handbook does not provide a price for water use | n.a. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | not monetized | n.a. | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Social | Colorectal cancer | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). | 0.0582975952298809 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Social | Type 2 diabetes | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). LCA dtabase not mentioned | 0.23662657132685 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Social | Stroke | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). LCA dtabase not mentioned | 0.179809770096246 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Social | Cardiovacular diseases | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). LCA dtabase not mentioned | 0 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Climate change | Natural capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs (abatement costs only for climate change) | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0566 | euro/kg CO2 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0685272355764447 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Ozone depletion | Natural capital | kg CFC-11 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Environmental Prices Handbook (Bruyn et al. 2018) | 30.4 | euro/kg CFC-11 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 9.1951575861969e-07 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 4.97 | euro/kg SO2 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0717582713642417 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 1.86 | euro/kg P eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.00022182508600616 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Marine eutrophication | Natural capital | kg N eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 3.11 | euro/kg N eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0158184879149715 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0991 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.00575721570674851 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Photochemical ozone formation | Natural capital | kg NMVOC | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 1.15 | euro/kg NMVOC | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.00241516145066128 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Particulate matter formation | Natural capital | kg PM10 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 39.2 | euro/kg PM10 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0937786752662491 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 8.69 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.166643542142386 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0361 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.000263111786417539 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.00739 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 2.10448885145552e-05 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Ionising radiation | Natural capital | kBq U235 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0461 | euro/kBq U235 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.00122019800013087 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0845 | euro/m2a | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 0.0835068493611053 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Environmental | Water use | Natural capital | n.a. | n.a. | ReCiPe 2016 | Simapro | n.a. | Environmental Prices Handbook (Bruyn et al. 2018) | Was not monetized since environmental prices handbook does not provide a price for water use | n.a. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | not monetized | n.a. | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Social | Colorectal cancer | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). | 0.252364140838715 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Social | Type 2 diabetes | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). LCA dtabase not mentioned | 0.807703229708871 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Social | Stroke | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). LCA dtabase not mentioned | 0.504503954237961 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork processed | Italy | Social | Cardiovacular diseases | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Meat consumption from FAOSTAT data, conversion factors health from Springmann et al. (2020). LCA dtabase not mentioned | 0 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Climate change | Human and natural capital | kg CO2 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs (abatement costs only for climate change) | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0566 | euro/kg CO2 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0.0532 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Ozone depletion | Human capital | kg CFC-11 eq. | n.a. | ReCiPe 2016 | Simapro | Abatement costs | Environmental Prices Handbook (Bruyn et al. 2018) | 30.4 | euro/kg CFC-11 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 4.34e-07 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 4.97 | euro/kg SO2 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0.0486 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Freshwater eutrophication | Natural capital | kg P eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 1.86 | euro/kg P eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0.000138 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Marine eutrophication | Natural capital | kg N eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 3.11 | euro/kg N eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0.00902 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Human toxicity | Human capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0991 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0.003 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Photochemical ozone formation | Natural capital | kg NMVOC | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 1.15 | euro/kg NMVOC | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0.00147 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Particulate matter formation | Natural capital | kg PM10 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 39.2 | euro/kg PM10 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0.0691 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 8.69 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0.235 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0361 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0.00028 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Marine ecotoxicity | Natural capital | kg 1,4-DB eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.00739 | euro/kg 1,4-DB eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 1.34e-05 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Ionising radiation | Natural capital | kBq U235 eq. | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0461 | euro/kBq U235 eq. | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0.00061 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Environmental | Land use | Natural capital | m2a | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 0.0845 | euro/m2a | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0.0515 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Social | Colorectal cancer | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Social | Type 2 diabetes | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Social | Stroke | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry meat (fresh) | Italy | Social | Cardiovacular diseases | Human capital | DALY | n.a. | ReCiPe 2016 | Simapro | Damage costs | Environmental Prices Handbook (Bruyn et al. 2018) | 55000 | euro/DALY | Europe | 2015 | sample size not mentioned | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | 0 | euro/100g of consumed meat | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | ||||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (fresh) | Italy | Social and environmental | n.a. | Human and natural capital | n.a. | n.a. | ReCiPe 2016 | Simapro | See items listed above | See items listed above | See items listed above | See items listed above | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 170.378677267396 | euro/capita | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Beef cattle | Product | Beef (processed) | Italy | Social and environmental | n.a. | Human and natural capital | n.a. | n.a. | ReCiPe 2016 | Simapro | See items listed above | See items listed above | See items listed above | See items listed above | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 12.5166421488917 | euro/capita | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (fresh) | Italy | Social and environmental | n.a. | Human and natural capital | n.a. | n.a. | ReCiPe 2016 | Simapro | See items listed above | See items listed above | See items listed above | See items listed above | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 53.2231601423979 | euro/capita | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Pigs | Product | Pork (processed) | Italy | Social and environmental | n.a. | Human and natural capital | n.a. | n.a. | ReCiPe 2016 | Simapro | See items listed above | See items listed above | See items listed above | See items listed above | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 309.710441695334 | euro/capita | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 4 | LV | Arrigoni et al. (2023) | Environmental and health-related external costs of meat consumption in Italy: estimations and recommendations through life cycle assessment | https://doi.org/10.1016/j.scitotenv.2023.161773 | 2023 | Peer-reviewed paper | Cradle to consumer-gate | Conventional | Poultry | Product | Poultry (fresh) | Italy | Social and environmental | n.a. | Human and natural capital | n.a. | n.a. | ReCiPe 2016 | Simapro | See items listed above | See items listed above | See items listed above | See items listed above | Europe | 2015 | sample of representative European farms | On i) monetization factors ii) risk variation of four diseases iii) monetary value DALY | Dataset representative of European farms available in Agri-footprint database | 53.0160033734152 | euro/capita | Lack of primary data for meat production, estimation of health risks and uncertainty related to monetization process (extenral costs arising from site-speicfic impacts not taken into account, some externalities such as animal welfare not monetized due to lack of data, prices are at European level so impacts beyond European boundaries not taken into account) | |||
| 5 | LV | Seidel et al. (2023) | The True Price of External Health Effects from Food Consumption | https://doi.org/10.3390/nu15153386 | 2020 | Peer-reviewed paper | Cradle to consumer-gate | No distinction made | Pigs | Product | Salami | Germany | Social | Cardiovascular diseases, type 2 diabetus mellitus and neoplasms | Human capital | DALY | n.a. | Cost-of-illness approach | Own model developed | Damage costs | European Heart Network (2017) | Different cost factors used for cost of ilness, such as treatment costs medication costs and producivity costs | See previous note | Europe | 2022 | 3 European health organizations | Not applied | Data from European health organisations | 7.51 | Euro/kg meat | Data availability (for disease burden and for other diseases), data quality | |||
| 5 | LV | Seidel et al. (2023) | The True Price of External Health Effects from Food Consumption | https://doi.org/10.3390/nu15153386 | 2020 | Peer-reviewed paper | Cradle to consumer-gate | No distinction made | Pigs and beef | Product | Minced meat | Germany | Social | Cardiovascular diseases, type 2 diabetus mellitus and neoplasms | Human capital | DALY | n.a. | Cost-of-illness approach | Own model developed | Damage costs | European Heart Network (2017) | Different cost factors used for cost of ilness, such as treatment costs meidcation costs and producivity costs | See previous note | Europe | 2022 | 3 European health organizations | Not applied | Data from European health organisations | 7.51 | Euro/kg meat | Data availability (for disease burden and for other diseases), data quality | |||
| 5 | LV | Seidel et al. (2023) | The True Price of External Health Effects from Food Consumption | https://doi.org/10.3390/nu15153386 | 2020 | Peer-reviewed paper | Cradle to consumer-gate | No distinction made | Beef cattle | Product | Beef shoulder | Germany | Social | Cardiovascular diseases, type 2 diabetus mellitus and neoplasms | Human capital | DALY | n.a. | Cost-of-illness approach | Own model developed | Damage costs | European Heart Network (2017) | Different cost factors used for cost of ilness, such as treatment costs meidcation costs and producivity costs | See previous note | Europe | 2022 | 3 European health organizations | Not applied | Data from European health organisations | 3.9 | Euro/kg meat | Data availability (for disease burden and for other diseases), data quality | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Beef cattle | Country | Beef meat | Germany | Environmental | Greenhouse gas emissions | Natural capital | CO2 eq. | Not specified | Land-balance model, GHG emission model and Physical trade model | Damage costs | German Federal Environment Agency | 180 | euro per ton CO2-eq. | European Union | 2016 | European Union | Not applied | Government report | 149.5 | Million euro | Costs due to CO2 emissions | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Beef cattle | Country | Beef meat | Germany | Environmental | Biodiversity | Natural capital | square meter tropical forest converted to cropland in 2016 | Not specified | Land-balance model, GHG emission model and Physical trade model | Restoration costs | Verdone and Seil (2017) | 3.15 | euro per square meter tropical forest converted to cropland in 2016 | Global | 2017 | Global | Not applied | Peer reviewed literature | 78.2 | Million euro | Costs due to biodiversity loss | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Pigs | Country | Pork meat | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | Land-balance model, GHG emission model and Physical trade model | Damage costs | German Federal Environment Agency | 180 | euro per ton CO2-eq. | European Union | 2016 | European Union | Not applied | Government report | 349.8 | Million euro | Costs due to CO2 emissions | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Pigs | Country | Pork meat | Germany | Environmental | Biodiversity | Natural capital | square meter tropical forest converted to cropland in 2016 | Not specified | Land-balance model, GHG emission model and Physical trade model | Restoration costs | Verdone and Seil (2017) | 3.15 | euro per square meter tropical forest converted to cropland in 2016 | Global | 2017 | Global | Not applied | Peer reviewed literature | 169.8 | Million euro | Costs due to biodiversity loss | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Dairy cattle | Country | Milk and dairy | Germany | Environmental | Climate change | Human and natural capital | CO2 eq. | Not specified | Land-balance model, GHG emission model and Physical trade model | Damage costs | German Federal Environment Agency | 180 | euro per ton CO2-eq. | European Union | 2016 | European Union | Not applied | Government report | 387.2 | Million euro | Costs due to CO2 emissions | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Dairy cattle | Country | Milk and dairy | Germany | Environmental | Biodiversity | Natural capital | square meter tropical forest converted to cropland in 2016 | Not specified | Land-balance model, GHG emission model and Physical trade model | Restoration costs | Verdone and Seil (2017) | 3.15 | euro per square meter tropical forest converted to cropland in 2016 | Global | 2017 | Global | Not applied | Peer reviewed literature | 179.7 | Million euro | Costs due to biodiversity loss | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Poultry | Country | Eggs | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | Land-balance model, GHG emission model and Physical trade model | Damage costs | German Federal Environment Agency | 180 | euro per ton CO2-eq. | European Union | 2016 | European Union | Not applied | Government report | 37.2 | Million euro | Costs due to CO2 emissions | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Poultry | Country | Eggs | Germany | Environmental | Biodiversity | Natural capital | square meter tropical forest converted to cropland in 2016 | Not specified | Land-balance model, GHG emission model and Physical trade model | Restoration costs | Verdone and Seil (2017) | 3.15 | euro per square meter tropical forest converted to cropland in 2016 | Global | 2017 | Global | Not applied | Peer reviewed literature | 18.1 | Million euro | Costs due to biodiversity loss | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Sheep and goat | Country | Sheep and goat meat | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | Land-balance model, GHG emission model and Physical trade model | Damage costs | German Federal Environment Agency | 180 | euro per ton CO2-eq. | European Union | 2016 | European Union | Not applied | Government report | 7.5 | Million euro | Costs due to CO2 emissions | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Sheep and goat | Country | Sheep and goat meat | Germany | Environmental | Biodiversity | Natural capital | square meter tropical forest converted to cropland in 2016 | Not specified | Land-balance model, GHG emission model and Physical trade model | Restoration costs | Verdone and Seil (2017) | 3.15 | euro per square meter tropical forest converted to cropland in 2016 | Global | 2017 | Global | Not applied | Peer reviewed literature | 3.6 | Million euro | Costs due to biodiversity loss | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Poultry | Country | Poultry meat | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | Land-balance model, GHG emission model and Physical trade model | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | European Union | 2016 | European Union | Not applied | Government report | 136.5 | Million euro | Costs due to CO2 emissions | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 6 | LV | M. Hentschl, A. Michalke, M. Pieper, T. Gaugler and S. Stoll-Kleemann (2023) | Dietary change and land use change: assessing preventable climate and biodiversity damage due to meat consumption in Germany | https://doi.org/10.1007/s11625-023-01326-z | 2023 | Peer-reviewed paper | Only land-related impacts from consumption considered | Not specified | Poultry | Country | Poultry meat | Germany | Environmental | Biodiversity | Natural capital | square meter tropical forest converted to cropland in 2016 | Not specified | Land-balance model, GHG emission model and Physical trade model | Restoration costs | Verdone and Seil (2017) | 3.15 | euro per square meter tropical forest converted to cropland in 2016 | Global | 2017 | Global | Not applied | Peer reviewed literature | 63 | Million euro | Costs due to biodiversity loss | Lack of consistent methodology to attribute LUC-related CO2 emissions to food consumption | |||
| 7 | LV | B. Oebel, L. Stein, A. Michalke, S. Stoll-Kleemann and T. Gaugler (2024) | Towards true prices in food retailing: the value added tax as an instrument transforming agri-food systems | https://doi.org/10.1007/s11625-024-01477-7 | 2024 | Peer-reviewed paper | Not specified, probably crade to farm gate | Conventional | Not specified | Country | Meat | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | l Global Emissions Model for Integrated Systems | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2016 | Damage of GHG emissions to citizens in Germany | Sensitivity analysis: Change of VAT adaptation on climate externalities | Data mainly obtained from german authorities (e.g. meat consumption data) | 37.39 | Billion euros per year | External costs refer to annual external climate costs from conventional meat with 7%/19% on all foodstuff (current tax rates in Germany) | No data for other externalities such as animal welfare and health costs. | |||
| 7 | LV | B. Oebel, L. Stein, A. Michalke, S. Stoll-Kleemann and T. Gaugler (2024) | Towards true prices in food retailing: the value added tax as an instrument transforming agri-food systems | https://doi.org/10.1007/s11625-024-01477-7 | 2024 | Peer-reviewed paper | Not specified, probably crade to farm gate | Organic | Not specified | Country | Meat | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | l Global Emissions Model for Integrated Systems | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2016 | Damage of GHG emissions to citizens in Germany | Sensitivity analysis: Change of VAT adaptation on climate externalities | Data mainly obtained from german authorities (e.g. meat consumption data) | 0.96 | Billion euros per year | External costs refer to annual external climate costs from organic meat in scenario 7%/19% tax on all foodstuff (current tax rates in Germany) | No data for VAT revenues from food retailing differentiated by VAT rates. Mixed foods (e.g. ready meals that contains small percentage of meat) were difficult to categorize. Uncertainty about share of conventional and organic meat and non-meat products | |||
| 7 | LV | B. Oebel, L. Stein, A. Michalke, S. Stoll-Kleemann and T. Gaugler (2024) | Towards true prices in food retailing: the value added tax as an instrument transforming agri-food systems | https://doi.org/10.1007/s11625-024-01477-7 | 2024 | Peer-reviewed paper | Not specified, probably crade to farm gate | Conventional | Not specified | Country | Vegetarian food | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | l Global Emissions Model for Integrated Systems | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2016 | Damage of GHG emissions to citizens in Germany | Sensitivity analysis: Change of VAT adaptation on climate externalities | Data mainly obtained from german authorities (e.g. meat consumption data) | 52.8 | Billion euros per year | External costs refer to climate costs from conventional vegetarian food in scenario 7%/19% tax on all foodstuff (current tax rates in Germany) | No data for VAT revenues from food retailing differentiated by VAT rates. Mixed foods (e.g. ready meals that contains small percentage of meat) were difficult to categorize. Uncertainty about share of conventional and organic meat and non-meat products | |||
| 7 | LV | B. Oebel, L. Stein, A. Michalke, S. Stoll-Kleemann and T. Gaugler (2024) | Towards true prices in food retailing: the value added tax as an instrument transforming agri-food systems | https://doi.org/10.1007/s11625-024-01477-7 | 2024 | Peer-reviewed paper | Not specified, probably crade to farm gate | Organic | Not specified | Country | Vegetarian food | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | l Global Emissions Model for Integrated Systems | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2016 | Damage of GHG emissions to citizens in Germany | Sensitivity analysis: Change of VAT adaptation on climate externalities | Data mainly obtained from german authorities (e.g. meat consumption data) | 1.62 | billion euros per year | External costs value refers to external climate costs from organic vegetarian food in scenario 7%/19% tax on all foodstuff (current tax rates in Germany) | No data for VAT revenues from food retailing differentiated by VAT rates. Mixed foods (e.g. ready meals that contains small percentage of meat) were difficult to categorize. Uncertainty about share of conventional and organic meat and non-meat products | |||
| 7 | LV | B. Oebel, L. Stein, A. Michalke, S. Stoll-Kleemann and T. Gaugler (2024) | Towards true prices in food retailing: the value added tax as an instrument transforming agri-food systems | https://doi.org/10.1007/s11625-024-01477-7 | 2024 | Peer-reviewed paper | Not specified, probably crade to farm gate | Organic | Not specified | Country | Total (aggreation of external climate costs meat and vegatarian food) | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | l Global Emissions Model for Integrated Systems | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2016 | Damage of GHG emissions to citizens in Germany | Sensitivity analysis: Change of VAT adaptation on climate externalities | Data mainly obtained from german authorities (e.g. meat consumption data) | 92.78 | Billion euros per year | External costs value refers to total annual external climate costs in scenario 7%/19% tax on all foodstuff (current tax rates in Germany) | No data for VAT revenues from food retailing differentiated by VAT rates. Mixed foods (e.g. ready meals that contains small percentage of meat) were difficult to categorize. Uncertainty about share of conventional and organic meat and non-meat products | |||
| 7 | LV | B. Oebel, L. Stein, A. Michalke, S. Stoll-Kleemann and T. Gaugler (2024) | Towards true prices in food retailing: the value added tax as an instrument transforming agri-food systems | https://doi.org/10.1007/s11625-024-01477-7 | 2024 | Peer-reviewed paper | Not specified, probably crade to farm gate | Conventional | Not specified | Country | Meat | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | l Global Emissions Model for Integrated Systems | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2016 | Damage of GHG emissions to citizens in Germany | Sensitivity analysis: Change of VAT adaptation on climate externalities | Data mainly obtained from german authorities (e.g. meat consumption data) | 29.92 | Billion euros per year | External costs value refers to annual external climate costs from conventional meat in scenario 7%/19% tax on all foodstuff (current tax rates in Germany) | No data for VAT revenues from food retailing differentiated by VAT rates. Mixed foods (e.g. ready meals that contains small percentage of meat) were difficult to categorize. Uncertainty about share of conventional and organic meat and non-meat products | |||
| 7 | LV | B. Oebel, L. Stein, A. Michalke, S. Stoll-Kleemann and T. Gaugler (2024) | Towards true prices in food retailing: the value added tax as an instrument transforming agri-food systems | https://doi.org/10.1007/s11625-024-01477-7 | 2024 | Peer-reviewed paper | Not specified, probably crade to farm gate | Organic | Not specified | Country | Meat | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | l Global Emissions Model for Integrated Systems | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2016 | Damage of GHG emissions to citizens in Germany | Sensitivity analysis: Change of VAT adaptation on climate externalities | Data mainly obtained from german authorities (e.g. meat consumption data) | 1.12 | Billion euros per year | External costs value refers to external climate costs from organic meat in scenario 0% tax on organic vegation food/19% VAT on conventional meat products | No data for VAT revenues from food retailing differentiated by VAT rates. Mixed foods (e.g. ready meals that contains small percentage of meat) were difficult to categorize. Uncertainty about share of conventional and organic meat and non-meat products | |||
| 7 | LV | B. Oebel, L. Stein, A. Michalke, S. Stoll-Kleemann and T. Gaugler (2024) | Towards true prices in food retailing: the value added tax as an instrument transforming agri-food systems | https://doi.org/10.1007/s11625-024-01477-7 | 2024 | Peer-reviewed paper | Not specified, probably crade to farm gate | Conventional | Not specified | Country | Vegetarian food | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | l Global Emissions Model for Integrated Systems | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2016 | Damage of GHG emissions to citizens in Germany | Sensitivity analysis: Change of VAT adaptation on climate externalities | Data mainly obtained from german authorities (e.g. meat consumption data) | 54.44 | Billion euros per year | External costs value refers to external climate costs from conventional vegetarian food in scenario 0% tax on organic vegation food/19% VAT on conventional meat products | No data for VAT revenues from food retailing differentiated by VAT rates. Mixed foods (e.g. ready meals that contains small percentage of meat) were difficult to categorize. Uncertainty about share of conventional and organic meat and non-meat products | |||
| 7 | LV | B. Oebel, L. Stein, A. Michalke, S. Stoll-Kleemann and T. Gaugler (2024) | Towards true prices in food retailing: the value added tax as an instrument transforming agri-food systems | https://doi.org/10.1007/s11625-024-01477-7 | 2024 | Peer-reviewed paper | Not specified, probably crade to farm gate | Organic | Not specified | Country | Vegetarian food | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | l Global Emissions Model for Integrated Systems | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2016 | Damage of GHG emissions to citizens in Germany | Sensitivity analysis: Change of VAT adaptation on climate externalities | Data mainly obtained from german authorities (e.g. meat consumption data) | 1.99 | Billion euros per year | External costs value refers to external climate costs from organic vegetarian food in scenario 0% tax on organic vegetarian food/19% VAT on conventional meat products | No data for VAT revenues from food retailing differentiated by VAT rates. Mixed foods (e.g. ready meals that contains small percentage of meat) were difficult to categorize. Uncertainty about share of conventional and organic meat and non-meat products | |||
| 7 | LV | B. Oebel, L. Stein, A. Michalke, S. Stoll-Kleemann and T. Gaugler (2024) | Towards true prices in food retailing: the value added tax as an instrument transforming agri-food systems | https://doi.org/10.1007/s11625-024-01477-7 | 2024 | Peer-reviewed paper | Not specified, probably crade to farm gate | Organic | Not specified | Country | Total (aggregation of external climate costs meat and vegatarian food) | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | l Global Emissions Model for Integrated Systems | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2016 | Damage of GHG emissions to citizens in Germany | Sensitivity analysis: Change of VAT adaptation on climate externalities | Data mainly obtained from german authorities (e.g. meat consumption data) | 87.47 | Billion euros per year | External costs value refers to total external climate costs in scenario 0% VAT on organic vegetarian food/19% VAT on conventional meat products | No data for VAT revenues from food retailing differentiated by VAT rates. Mixed foods (e.g. ready meals that contains small percentage of meat) were difficult to categorize. Uncertainty about share of conventional and organic meat and non-meat products | |||
| 7 | LV | B. Oebel, L. Stein, A. Michalke, S. Stoll-Kleemann and T. Gaugler (2024) | Towards true prices in food retailing: the value added tax as an instrument transforming agri-food systems | https://doi.org/10.1007/s11625-024-01477-7 | 2024 | Peer-reviewed paper | Not specified, probably crade to farm gate | Conventional | Not specified | Country | Meat | Germany | Environmental | Greenhouse gas emissions | Human and natural capital | CO2 eq. | Not specified | l Global Emissions Model for Integrated Systems | Damage costs | German Federal Environment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2016 | Damage of GHG emissions to citizens in Germany | Sensitivity analysis: Change of VAT adaptation on climate externalities | Data mainly obtained from german authorities (e.g. meat consumption data) | 5.31 | Billion euros per year | Decrease in external climate costs when decreasing VAT on organic vegetarian products to 0% | No data for other externalities such as animal welfare and health costs. | |||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Nitrogen emissions | Human capital | Kg nitrogen oxides (NOx) emitted to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Bickel and Friedrich, 2005 | 10 to 30 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 30 to 90 | Billion euros per year | External costs refer to damage costs to human health from NOx emissions to air for all sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Acidification | Human capital | Kg NH3 to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Bickel and Friedrich, 2005 | 2 to 20 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 10 to 75 | Billion euros per year | External costs refer to damage costs to human health from NH3 emissions to air for all sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Human health (drinking water) | Human capital | Kg nitrate to groundwater | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Bickel and Friedrich, 2005 | 0 to 4 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | <5 | Billion euros per year | External costs refer to damage costs to human health from nitrate to river and seas for all sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Ozone depletion | Human capital | Kg N2O emitted to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Bickel and Friedrich, 2005 | 1 to 3 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | <5 | Billion euros per year | External costs refer to damage costs to human health from N2O emissions for all sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Nitrogen emissions | Human capital | Kg nitrogen oxides (NOx) emitted to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Bickel and Friedrich, 2005 | 10 to 30 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 0 to 5 | Billion euros per year | External costs refer to damage costs to human health from NOx emissions to air for agricultural sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Acidification | Human capital | Kg NH3 to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Bickel and Friedrich, 2005 | 2 to 20 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 5 to 65 | Billion euros per year | External costs refer to damage costs to human health from NH3 emissions to air for agricultural sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Human health (drinking water) | Human capital | Kg nitrate to groundwater | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Bickel and Friedrich, 2005 | 0 to 4 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | <5 | Billion euros per year | External costs refer to damage costs to human health from nitrate to river and seas for agricultural sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Ozone depletion | Human capital | Kg N2O emitted to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Bickel and Friedrich, 2005 | 1 to 3 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | <5 | Billion euros per year | External costs refer to damage costs to human health from N2O emissions for agricultural sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Ecosystems (eutrophication, biodiversity) | Natural capital | Kg NOx emissions to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Soderqvist and Hasselstrom 2008 | 2 to 10 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 15 to 75 | Billion euros per year | External costs refer to damage costs to ecosystems (eutrophication, biodiversity) from NOx emissions to air for all sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Ecosystems (eutrophication, biodiversity) | Natural capital | Kg NH3 to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Soderqvist and Hasselstrom 2008 | 2 to 10 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 15 to 70 | Billion euros per year | External costs refer to damage costs to ecosystems (eutrophication, biodiversity) from NH3 emissions for all sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Ecosystems (Eutrophication, biodiversity) | Natural capital | Kg nitrate (N) lost to surface water | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Ott et al. (2006) | 5 to 20 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 40 to 155 | Billion euros per year | External costs refer to damage costs to ecosystems (eutrophication, biodiversity) from nitrate to rivers and seas for all sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Ecosystems (eutrophication, biodiversity) | Natural capital | Kg NH3 to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Soderqvist and Hasselstrom 2008 | 2 to 10 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | <5 | Billion euros per year | External costs refer to damage costs to ecosystems (eutrophication, biodiversity) from NOx emissions for agricultural sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Ecosystems (eutrophication, biodiversity) | Natural capital | Kg NH3 to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Soderqvist and Hasselstrom 2008 | 2 to 10 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 15 to 60 | Billion euros per year | External costs refer to damage costs to ecosystems (eutrophication, biodiversity) from NH3 emissions for agricultural sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Ecosystems (Eutrophication, biodiversity) | Natural capital | Kg nitrate (N) lost to surface water | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Ott et al. (2006) | 5 to 20 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 25 to 95 | Billion euros per year | External costs refer to damage costs to ecosystems (eutrophication, biodiversity) from nitrate for agricultural sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Climate change | Natural and human capital | Kg nitrogen oxides (NOx) emitted to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Johnson and Nemet, 2010; Liverani, 2010 | -9 to 2 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | -30 to 5 | Billion euros per year | External costs refer to damage costs to climate from NOx emissions for all sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Climate change | Natural and human capital | Kg NH3 to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Johnson and Nemet, 2010; Liverani, 2010 | -3 to 0 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | -10 to 0 | Billion euros per year | External costs refer to damage costs to climate from NH3 emissions for all sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Climate change | Natural and human capital | Kg N2O emitted to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Soderqvist and Hasselstrom 2008 | 4 to 17 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 5 to 15 | Billion euros per year | External costs refer to damage costs to climate from N2O emissions for all sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Climate change | Natural and human capital | Kg nitrogen oxides (NOx) emitted to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Johnson and Nemet, 2010; Liverani, 2010 | -9 to 2 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 0 | Billion euros per year | External costs refer to damage costs to climate from NOx emissions for agricultural sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Climate change | Natural and human capital | Kg NH3 to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Johnson and Nemet, 2010; Liverani, 2010 | -3 to 0 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | -10 to 0 | Billion euros per year | External costs refer to damage costs to climate from nitrate to air for agricultural sources in the European Union in 2008 | No difficulties mentioned | ||
| 8 | LV | Van Grinsven et al. (2013) | Costs and Benefits of Nitrogen for Europe and Implications for Mitigation | https://doi-org.ezproxy.library.wur.nl/10.1021/es303804g | 2013 | Peer-reviewed paper | Whole economy in EU-27 considered | Not specified | Not specified | Group of countries | Not applicable | EU-27 | Environmental | Climate change | Natural and human capital | Kg N2O emitted to air | Not applicable | Cost-benefit analysis | GAINS model | Damage costs | Soderqvist and Hasselstrom 2008 | 4 to 17 | euro per kg excessive reactive nitrogen | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 0 to 5 | Billion euros per year | External costs refer to damage costs to climate from N2O emissions to air for agricultural sources in the European Union in 2008 | No difficulties mentioned | ||
| 9 | LV | Van Grinsven et al. (2015) | Potential of extensification of European agriculture for a more sustainable food system, focusing on nitrogen | http://dx.doi.org/10.1088/1748-9326/10/2/025002 | 2015 | Peer-reviewed paper | Not specified | Not specified | All livestock species in selected countries | Group of countries | Not applicable | EU-27 | Environmental | Nitrogen emissions | Natural capital | N emissions | NH3, N, N20 | Own method developed | Not specified | Damage costs | Grinsven et al., 2013 | All monetization factors were derived from Grinsven et al. (2013) | EU-27 | 2008 | based on environental and health impacts in EU-27 | Low, high and mid values of marginal damage costs used to address uncertainty about monetization factors | Data from peer reviewed literature | 0.2 to -2.2 | Billion euros per year | External costs value is the decrease in external costs due (societal benefits) to reduction of N emissions, due to extensification. | No difficulties mentioned | |||
| 10 | LV | Samuel et al. (2021) | The Cost of Reducing Ammonia from Agriculture: Farm-gate Estimates and Policy Considerations | https://doi.org/10.1111/1746-692X.12331 | 2021 | Peer-reviewed paper | Cradle to farm-gate | Not specified | Dairy cattle, Beef cattle, pigs and poultry | Country | Not applicable | Northern Ireland | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | National Ammonia Reduction Strategy Evaluation System (NARSES) | NARSES model | Abatement costs | Own calculations | -0,07 to 2,93 | british pounds per kiloton NH3 abated (depending on abatement measure) | Northern Ireland | 2019 | Not specified | No sensitivity analysis applied | Data from peer reviewed literature | 6.6 | Million pounds per year | External costs refer to abatement of ammonia emissions (in million pounds) compared to business-as-usual scenario. | Interactions with other pollutants not considered | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | Environmental systems analysis | Not specified | Market price | Dutch Green Deal National Carbon market | 75 | euro per ton CO2 eq. | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | 0 | Euro/hectare | External costs are denoted as a benefit from climate regulation (carbon sequestration; ecosystem service). | Data quality, assumption, system boundary | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | Environmental systems analysis | Not specified | Market price | Dutch Green Deal National Carbon market | 75 | euro per ton CO2 eq. | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -815 | Euro/hectare | External costs are denoted as a benefit from climate regulation (carbon sequestration; ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | Environmental systems analysis | Not specified | Market price | Dutch Green Deal National Carbon market | 75 | euro per ton CO2 eq. | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -2216 | Euro/hectare | External costs are denoted as a benefit from climate regulation (carbon sequestration; ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Low-intensity grassland (grazing) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | Environmental systems analysis | Not specified | Market price | Dutch Green Deal National Carbon market | 75 | euro per ton CO2 eq. | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -3253 | Euro/hectare | External costs are denoted as a benefit from climate regulation (carbon sequestration; ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Low-intensity grassland (mowing) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | Environmental systems analysis | Not specified | Market price | Dutch Green Deal National Carbon market | 75 | euro per ton CO2 eq. | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -3506 | Euro/hectare | External costs are denoted as a benefit from climate regulation (carbon sequestration; ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | High-intensity paludiculture (reed) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | Environmental systems analysis | Not specified | Market price | Dutch Green Deal National Carbon market | 75 | euro per ton CO2 eq. | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -3817 | Euro/hectare | External costs are denoted as a benefit from climate regulation (carbon sequestration; ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | High-intensity paludiculture (sphagnum) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CO2, CH4, N2O | Environmental systems analysis | Not specified | Market price | Dutch Green Deal National Carbon market | 75 | euro per ton CO2 eq. | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -92 | Euro/hectare | External costs are denoted as a benefit from water regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Water regulation | Natural capital | Water storage (m3) | Not applicable | Environmental systems analysis | Not specified | Abatement costs | Not specified | 3 | euro/m3 avoided flood cost | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -92 | Euro/hectare | External costs are denoted as a benefit from water regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Water regulation | Natural capital | Water storage (m3) | Not applicable | Environmental systems analysis | Not specified | Abatement costs | Not specified | 3 | euro/m3 avoided flood cost | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -716 | Euro/hectare | External costs are denoted as a benefit from water regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Low-intensity grassland (grazing) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Water regulation | Natural capital | Water storage (m3) | Not applicable | Environmental systems analysis | Not specified | Abatement costs | Not specified | 3 | euro/m3 avoided flood cost | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -1522 | Euro/hectare | External costs are denoted as a benefit from water regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Low-intensity grassland (mowing) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Water regulation | Natural capital | Water storage (m3) | Not applicable | Environmental systems analysis | Not specified | Abatement costs | Not specified | 3 | euro/m3 avoided flood cost | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -2850 | Euro/hectare | External costs are denoted as a benefit from water regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | High-intensity paludiculture (reed) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Water regulation | Natural capital | Water storage (m3) | Not applicable | Environmental systems analysis | Not specified | Abatement costs | Not specified | 3 | euro/m3 avoided flood cost | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -1553 | Euro/hectare | External costs are denoted as a benefit from water regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | High-intensity paludiculture (sphagnum) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Water regulation | Natural capital | Water storage (m3) | Not applicable | Environmental systems analysis | Not specified | Abatement costs | Not specified | 3 | euro/m3 avoided flood cost | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | 0 | Euro/hectare | External costs are denoted as a benefit from water regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Nutrient regulation | Natural capital | Nutrient pollution abatement | NH3, NOx, N | Environmental systems analysis | Not specified | Damage costs | Grinsven et al., (2013) | NH3: 0 - 617, Nox: 0-106, N-leaching: 0-23 (costs depends on farm type) | euro/ha | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -386 | Euro/hectare | External costs are benefit from nutrient regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Nutrient regulation | Natural capital | Nutrient pollution abatement | NH3, NOx, N | Environmental systems analysis | Not specified | Damage costs | Grinsven et al., (2013) | NH3: 0 - 617, Nox: 0-106, N-leaching: 0-23 (costs depends on farm type) | euro/ha | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -535 | Euro/hectare | External costs are benefit from nutrient regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Low-intensity grassland (grazing) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Nutrient regulation | Natural capital | Nutrient pollution abatement | NH3, NOx, N | Environmental systems analysis | Not specified | Damage costs | Grinsven et al., (2013) | NH3: 0 - 617, Nox: 0-106, N-leaching: 0-23 (costs depends on farm type) | euro/ha | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -736 | Euro/hectare | External costs are benefit from nutrient regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Low-intensity grassland (mowing) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Nutrient regulation | Natural capital | Nutrient pollution abatement | NH3, NOx, N | Environmental systems analysis | Not specified | Damage costs | Grinsven et al., (2013) | NH3: 0 - 617, Nox: 0-106, N-leaching: 0-23 (costs depends on farm type) | euro/ha | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -741 | Euro/hectare | External costs are benefit from nutrient regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | High-intensity paludiculture (reed) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Nutrient regulation | Natural capital | Nutrient pollution abatement | NH3, NOx, N | Environmental systems analysis | Not specified | Damage costs | Grinsven et al., (2013) | NH3: 0 - 617, Nox: 0-106, N-leaching: 0-23 (costs depends on farm type) | euro/ha | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -746 | Euro/hectare | External costs are benefit from nutrient regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | High-intensity paludiculture (sphagnum) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Nutrient regulation | Natural capital | Nutrient pollution abatement | NH3, NOx, N | Environmental systems analysis | Not specified | Damage costs | Grinsven et al., (2013) | NH3: 0 - 617, Nox: 0-106, N-leaching: 0-23 (costs depends on farm type) | euro/ha | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | 0 | Euro/hectare | External costs are benefit from nutrient regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Maintenance of habitat | Natural capital | Nutrient pollution abatement | Qualititive approach to determine maintanence of habitat service using land use management practices as indications | Environmental systems analysis | Not specified | Market price | Subsidies from Dutch Subsidy system of Nature and Landscape, bij12.nl | 0 | euro/ha/yr | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -198 | Euro/hectare | External costs are benefit from nutrient regulation (ecosystem service). | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Maintenance of habitat | Natural capital | Nutrient pollution abatement | Qualititive approach to determine maintanence of habitat service using land use management practices as indications | Environmental systems analysis | Not specified | Market price | Subsidies from Dutch Subsidy system of Nature and Landscape, bij12.nl | 198 | euro/ha/yr | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -219 | Euro/hectare | External costs are benefit from maintenance of habitat | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Low-intensity grassland (grazing) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Maintenance of habitat | Natural capital | Nutrient pollution abatement | Qualititive approach to determine maintanence of habitat service using land use management practices as indications | Environmental systems analysis | Not specified | Market price | Subsidies from Dutch Subsidy system of Nature and Landscape, bij12.nl | 219 | euro/ha/yr | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -1188 | Euro/hectare | External costs are benefit from maintenance of habitat | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Low-intensity grassland (mowing) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Maintenance of habitat | Natural capital | Nutrient pollution abatement | Qualititive approach to determine maintanence of habitat service using land use management practices as indications | Environmental systems analysis | Not specified | Market price | Subsidies from Dutch Subsidy system of Nature and Landscape, bij12.nl | 1188 | euro/ha/yr | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -576 | Euro/hectare | External costs are benefit from maintenance of habitat | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | High-intensity paludiculture (reed) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Maintenance of habitat | Natural capital | Nutrient pollution abatement | Qualititive approach to determine maintanence of habitat service using land use management practices as indications | Environmental systems analysis | Not specified | Market price | Subsidies from Dutch Subsidy system of Nature and Landscape, bij12.nl | 576 | euro/ha/yr | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -2083 | Euro/hectare | External costs are benefit from maintenance of habitat | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | High-intensity paludiculture (sphagnum) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Maintenance of habitat | Natural capital | Nutrient pollution abatement | Qualititive approach to determine maintanence of habitat service using land use management practices as indications | Environmental systems analysis | Not specified | Market price | Subsidies from Dutch Subsidy system of Nature and Landscape, bij12.nl | 2083 | euro/ha/yr | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -4964 | Euro/hectare | External costs are benefit from biomass provisioning | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Biomass provisioning | Natural capital | Nutrient pollution abatement | Tonne of milk | Environmental systems analysis | Not specified | Market price | Wageningen Economic Research, 2022 | 367.7 | euro per tonne of milk | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -3101 | Euro/hectare | External costs are benefit from biomass provisioning | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Biomass provisioning | Natural capital | Nutrient pollution abatement | Tonne of milk | Environmental systems analysis | Not specified | Market price | Wageningen Economic Research, 2022 | 500.1 | euro per tonne of milk | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -1950 | Euro/hectare | External costs are benefit from biomass provisioning | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Low-intensity grassland (grazing) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Biomass provisioning | Natural capital | Nutrient pollution abatement | Tonne of milk | Environmental systems analysis | Not specified | Market price | Wageningen Economic Research, 2022 | 500.1 | euro per tonne of milk | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -390 | Euro/hectare | External costs are benefit from biomass provisioning | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Low-intensity grassland (mowing) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Biomass provisioning | Natural capital | Nutrient pollution abatement | Tonne of dry matter | Environmental systems analysis | Not specified | Market price | Wageningen Economic Research, 2022 | 65 | euro per tonne dry matter | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -1000 | Euro/hectare | External costs are benefit from biomass provisioning | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 11 | LV | Liu et al. (2023) | Production in peatlands: comparing ecosystem services of different land use options following conventional farming | https://doi.org/10.1016/j.scitotenv.2023.162534 | 2023 | Peer-reviewed paper | Cradle to farm-gate | High-intensity paludiculture (reed) | Dairy cattle | Farm | Not applicable | The Netherlands | Environmental | Biomass provisioning | Natural capital | Nutrient pollution abatement | Bundle of dry reed | Environmental systems analysis | Not specified | Market price | Wageningen Economic Research, 2022 | 2 | euro per bundle of reed | Dairy farming systems in the Netherlands | No base year, data was aggreated from different sources and years | 6 theoretical dairy farming systems in the Netherlands on peatlands were considered | Alternative methods regarding the definition of system boundary, choice of literature data and relationships, and use of indicator metrics were tested in sensitivity anlaysis | Data from peer reviewed literature and national authorities | -2758 | Euro/hectare | External costs are benefit from biomass provisioning | Monetary values of ecoysstem services are sensitive to spatial and temporal variabilities. These are not taken into account. | ||
| 12 | LV | De Jong et al. (2024) | Sustainability Evaluation of Plant-Based Beverages and Semi-Skimmed Milk Incorporating Nutrients, Market Prices, and Environmental Costs | https://doi.org/10.3390/su16051919 | 2024 | Peer-reviewed paper | Cradle to factory-gate | Dairy | Dairy cattle | Product | Semi skimmed milk | The Netherlands | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions (CO2 eq.) | CO2, CH4 and N2O | LCA | Excel spreadsheet model | Market price | European Union Emissions Trading System | 85 | euro/ton CO2-eq. | 291 dairy farms | 2019 | Nationwide data sources from 291 farms | No sensitivity analysis applied | Data from reports (non-peer reviewed literature), peer reviewed litrature and websites | around 0,10 euro per nutrient rich food score | Euro/nutrient rich food score | No exact number provided | Only GHG emissions considered, to not a comprehensive method is used. Different methodologies used in True Cost accounting (i.e. no harmonization) | ||
| 12 | LV | De Jong et al. (2024) | Sustainability Evaluation of Plant-Based Beverages and Semi-Skimmed Milk Incorporating Nutrients, Market Prices, and Environmental Costs | https://doi.org/10.3390/su16051919 | 2024 | Peer-reviewed paper | Cradle to factory-gate | Dairy | Dairy cattle | Product | Semi Skimmed milk from top 5% best farmers | The Netherlands | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions (CO2 eq.) | CO2, CH4 and N2O | LCA | Excel spreadsheet model | Market price | European Union Emissions Trading System | 85 | euro/ton CO2-eq. | 291 dairy farms | 2019 | Nationwide data sources from 291 farms | No sensitivity analysis applied | Data from reports (non-peer reviewed literature), peer reviewed litrature and websites | around 0,10 euro per nutrient rich food score | Euro/nutrient rich food score | No exact number provided | Only GHG emissions considered, to not a comprehensive method is used. Different methodologies used in True Cost accounting (i.e. no harmonization) | ||
| 12 | LV | De Jong et al. (2024) | Sustainability Evaluation of Plant-Based Beverages and Semi-Skimmed Milk Incorporating Nutrients, Market Prices, and Environmental Costs | https://doi.org/10.3390/su16051919 | 2024 | Peer-reviewed paper | Cradle to factory-gate | Dairy | Dairy cattle | Product | Semi Skimmed milk from top 5% best farmers - 40% methan emissions from future measures | The Netherlands | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions (CO2 eq.) | CO2, CH4 and N2O | LCA | Excel spreadsheet model | Market price | European Union Emissions Trading System | 85 | euro/ton CO2-eq. | 291 dairy farms | 2019 | Nationwide data sources from 291 farms | No sensitivity analysis applied | Data from reports (non-peer reviewed literature), peer reviewed litrature and websites | around 0,10 euro per nutrient rich food score | Euro/nutrient rich food score | No exact number provided | Only GHG emissions considered, to not a comprehensive method is used. Different methodologies used in True Cost accounting (i.e. no harmonization) | ||
| 13 | LV | Cantillon et al. (2024) | Mitigation of gaseous emissions from dairy livestock: A farm-level method to examine the financial implications | https://doi.org/10.1016/j.jenvman.2023.119904 | 2024 | Peer-reviewed paper | Farm to farm-gate | Dairy - bottom performing farms | Dairy cattle | Farm | Not applicable | Ireland | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions (CO2 eq.) | CO2, CH4 and N2O | National inventory method | Not specified | Shadow price | Lanigan and Donnellan, 2019 | 50 | euro/ton CO2-eq. | Not specified | 2022 | 3 types of case study dairy farms (bottom, middle and top third of Irish dairy farms) | Sensitivity analysis on major input prices (e.g. feed, fertilizer, fuel) and output prices | Data from peer reviewed literature and national authorities | -184 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Shadow price was not used for calculations, but to determine whether a measure is cost beneficial. Cost beneficial if: net cost of measure < shadow price. Cost prohibitive if: net costs of measure > shadow price. The external costs reflect total costs of a set of measures (e.g. lower crude protein content, improved animal performance, early calving). The costs are negative because costs savings due to measure (e.g. due to efficiency gains) outweigh costs of abatement measure. |
As it is a case study, findings not generalisable for farming industry. Change in ecosystems and water quality not considered. | |
| 13 | LV | Cantillon et al. (2024) | Mitigation of gaseous emissions from dairy livestock: A farm-level method to examine the financial implications | https://doi.org/10.1016/j.jenvman.2023.119904 | 2024 | Peer-reviewed paper | Farm to farm-gate | Dairy - middle performing farms | Dairy cattle | Farm | Not applicable | Ireland | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions (CO2 eq.) | CO2, CH4 and N2O | National inventory method | Not specified | Shadow price | Lanigan and Donnellan, 2019 | 50 | euro/ton CO2-eq. | Not specified | 2022 | 3 types of case study dairy farms (bottom, middle and top third of Irish dairy farms) | Sensitivity analysis on major input prices (e.g. feed, fertilizer, fuel) and output prices | Data from peer reviewed literature and national authorities | -185 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Shadow price was not used for calculations, but to determine whether a measure is cost beneficial. Cost beneficial if: net cost of measure < shadow price. Cost prohibitive if: net costs of measure > shadow price The external cost reflect total costs of a set of measures (e.g. lower crude protein content, improved animal performance, early calving). The costs are negative because costs savings due to measure (e.g. due to efficiency gains) outweigh co |
As it is a case study, findings not generalisable for farming industry. Change in ecosystems and water quality not considered. | |
| 13 | LV | Cantillon et al. (2024) | Mitigation of gaseous emissions from dairy livestock: A farm-level method to examine the financial implications | https://doi.org/10.1016/j.jenvman.2023.119904 | 2024 | Peer-reviewed paper | Farm to farm-gate | Dairy - top performing farms | Dairy cattle | Farm | Not applicable | Ireland | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions (CO2 eq.) | CO2, CH4 and N2O | National inventory method | Not specified | Shadow price | Lanigan and Donnellan, 2019 | 50 | euro/ton CO2-eq. | Not specified | 2022 | 3 types of case study dairy farms (bottom, middle and top third of Irish dairy farms) | Sensitivity analysis on major input prices (e.g. feed, fertilizer, fuel) and output prices | Data from peer reviewed literature and national authorities | -202 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Shadow price was not used for calculations, but to determine whether a measure is cost beneficial. Cost beneficial if: net cost of measure < shadow price. Cost prohibitive if: net costs of measure > shadow price The external cost reflect total costs of a set of measures (e.g. lower crude protein content, improved animal performance, early calving). The costs are negative because costs savings due to measure (e.g. due to efficiency gains) outweigh co |
As it is a case study, findings not generalisable for farming industry. Change in ecosystems and water quality not considered. | |
| 13 | LV | Cantillon et al. (2024) | Mitigation of gaseous emissions from dairy livestock: A farm-level method to examine the financial implications | https://doi.org/10.1016/j.jenvman.2023.119904 | 2024 | Peer-reviewed paper | Farm to farm-gate | Dairy - bottom performing farms | Dairy cattle | Farm | Not applicable | Ireland | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | National inventory method | Not specified | Damage costs | Bruyn et al. (2018) | 17.5 | euro/kg NH3 | Not specified | 2022 | 3 types of case study dairy farms (bottom, middle and top third of Irish dairy farms) | Sensitivity analysis on major input prices (e.g. feed, fertilizer, fuel) and output prices | Data from peer reviewed literature and national authorities | -53.7 | euro/kg NH3 | Shadow price was not used for calculations, but to determine whether a measure is cost beneficial. Cost beneficial if: net cost of measure < shadow price. Cost prohibitive if: net costs of measure > shadow price The external cost reflect total costs of a set of measures (e.g. lower crude protein content, improved animal performance, early calving). The costs are negative because costs savings due to measure (e.g. due to efficiency gains) outweigh co |
As it is a case study, findings not generalisable for farming industry. Change in ecosystems and water quality not considered. | ||
| 13 | LV | Cantillon et al. (2024) | Mitigation of gaseous emissions from dairy livestock: A farm-level method to examine the financial implications | https://doi.org/10.1016/j.jenvman.2023.119904 | 2024 | Peer-reviewed paper | Farm to farm-gate | Dairy - middle performing farms | Dairy cattle | Farm | Not applicable | Ireland | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | National inventory method | Not specified | Damage costs | Bruyn et al. (2018) | 17.5 | euro/kg NH3 | Not specified | 2022 | 3 types of case study dairy farms (bottom, middle and top third of Irish dairy farms) | Sensitivity analysis on major input prices (e.g. feed, fertilizer, fuel) and output prices | Data from peer reviewed literature and national authorities | -44.5 | euro/kg NH3 | Shadow price was not used for calculations, but to determine whether a measure is cost beneficial. Cost beneficial if: net cost of measure < shadow price. Cost prohibitive if: net costs of measure > shadow price The external cost reflect total costs of a set of measures (e.g. lower crude protein content, improved animal performance, early calving). The costs are negative because costs savings due to measure (e.g. due to efficiency gains) outweigh co |
As it is a case study, findings not generalisable for farming industry. Change in ecosystems and water quality not considered. | ||
| 13 | LV | Cantillon et al. (2024) | Mitigation of gaseous emissions from dairy livestock: A farm-level method to examine the financial implications | https://doi.org/10.1016/j.jenvman.2023.119904 | 2024 | Peer-reviewed paper | Farm to farm-gate | Dairy - top performing farms | Dairy cattle | Farm | Not applicable | Ireland | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | National inventory method | Not specified | Damage costs | Bruyn et al. (2018) | 17.5 | euro/kg NH3 | Not specified | 2022 | 3 types of case study dairy farms (bottom, middle and top third of Irish dairy farms) | Sensitivity analysis on major input prices (e.g. feed, fertilizer, fuel) and output prices | Data from peer reviewed literature and national authorities | -14.1 | euro/kg NH3 | Shadow price was not used for calculations, but to determine whether a measure is cost beneficial. Cost beneficial if: net cost of measure < shadow price. Cost prohibitive if: net costs of measure > shadow price The external cost reflect total costs of a set of measures (e.g. lower crude protein content, improved animal performance, early calving). The costs are negative because costs savings due to measure (e.g. due to efficiency gains) outweigh co |
As it is a case study, findings not generalisable for farming industry. Change in ecosystems and water quality not considered. | ||
| 14 | LV | Balezentis et al. (2022) | Eco-efficiency and shadow price of greenhouse gas emissions in Lithuanian dairy farms: An application of the slacks-based measure | https://doi.org/10.1016/j.jclepro.2022.131857 | 2022 | Peer-reviewed paper | Farm to farm-gate | Not specified | Dairy cattle | Farm | Not applicable | Latvia | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions (CO2 eq.) | CO2, CH4 and N2O | IPCC (2006) framework was followed | Shadow price | Own calculations, year 2015 | See external costs | See external costs | Family farms specialized in dairy farming where at least 75% of the farm size is generated from dairy activity | 2015, 2017 and 2019 | 317 farms (2015), 312 (2017) and 289 (2019) | No sensitivity analysis applied | FADN and peer reviewed literature | 41.54 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Not specified | |||
| 14 | LV | Balezentis et al. (2022) | Eco-efficiency and shadow price of greenhouse gas emissions in Lithuanian dairy farms: An application of the slacks-based measure | https://doi.org/10.1016/j.jclepro.2022.131857 | 2022 | Peer-reviewed paper | Farm to farm-gate | Not specified | Dairy cattle | Farm | Not applicable | Latvia | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions (CO2 eq.) | CO2, CH4 and N2O | IPCC (2006) framework was followed | Shadow price | Own calculations, year 2017 | See external costs | See external costs | Family farms specialized in dairy farming where at least 75% of the farm size is generated from dairy activity | 2015, 2017 and 2019 | 317 farms (2015), 312 (2017) and 289 (2019) | No sensitivity analysis applied | FADN and peer reviewed literature | 58.38 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Not specified | |||
| 14 | LV | Balezentis et al. (2022) | Eco-efficiency and shadow price of greenhouse gas emissions in Lithuanian dairy farms: An application of the slacks-based measure | https://doi.org/10.1016/j.jclepro.2022.131857 | 2022 | Peer-reviewed paper | Farm to farm-gate | Not specified | Dairy cattle | Farm | Not applicable | Latvia | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions (CO2 eq.) | CO2, CH4 and N2O | IPCC (2006) framework was followed | Shadow price | Own calculations, year 2019 | See external costs | See external costs | Family farms specialized in dairy farming where at least 75% of the farm size is generated from dairy activity | 2015, 2017 and 2019 | 317 farms (2015), 312 (2017) and 289 (2019) | No sensitivity analysis applied | FADN and peer reviewed literature | 55.89 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Not specified | |||
| 15 | LV | Pexas et al. (2020) | Cost-effectiveness of environmental impact abatement measures in a European pig production system | https://doi.org/10.1016/j.agsy.2020.102843 | 2020 | Peer-reviewed paper | Cradle to farm-gate | 500-sow integrated pig production system | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | Grams of antimony (Sb) equivalents | Not specified | LCA | Simapro | Abatement costs | Own calculations | See external costs | See external costs | 500-sow integrated pig production system in Denmark (defined as the repreesntative integrated Danish pig farm) | 2012-2017 | Not specified | No sensitivity analysis applied | Peer reviewed literature and national statistics | 1.52 | Euro/kg NH3 | The abatement costs depends on the measure the is considered. In total, 18 measures are considered. The abatement costs are lowest for the measure Precision N fertilizer application (1.52 euro/kg NH3). | Not specified | ||
| 15 | LV | Pexas et al. (2020) | Cost-effectiveness of environmental impact abatement measures in a European pig production system | https://doi.org/10.1016/j.agsy.2020.102843 | 2020 | Peer-reviewed paper | Cradle to farm-gate | 500-sow integrated pig production system | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | Megajoules | Not applicable | LCA | Simapro | Abatement costs | Own calculations | See external costs | See external costs | 500-sow integrated pig production system in Denmark (defined as the repreesntative integrated Danish pig farm) | 2012-2017 | Not specified | No sensitivity analysis applied | Peer reviewed literature and national statistics | 0,000100 to 0,00239 | Euro/giga-joules | Costs depend on the abatement measure Abatement measures considered Improved insultation Increased ventilation efficiency Frequent slurry removal Increased slurry dilution Anaerobic digestion Slurry acidification Also combinations of measures is considered. |
Limited data availability regarding economic information, Large uncertainites LCA model. Economic uncertianites (i.e. farmer behaviour, agri-environmental policy) not taken into account. Costs and revenues assumed to be static, but in reality dynamic. No weighting factors assinged to impact categories because more appropriate for decision makers to make these. | ||
| 15 | LV | Pexas et al. (2020) | Cost-effectiveness of environmental impact abatement measures in a European pig production system | https://doi.org/10.1016/j.agsy.2020.102843 | 2020 | Peer-reviewed paper | Cradle to farm-gate | 500-sow integrated pig production system | Pigs | Farm | Not applicable | Denmark | Environmental | Global warming potential | Human and natural capital | Tonnes of carbon dioxide (CO2) equivalents | CO2, CH4 and N2O | LCA | Simapro | Abatement costs | Own calculations | See external costs | See external costs | 500-sow integrated pig production system in Denmark (defined as the repreesntative integrated Danish pig farm) | 2012-2017 | Not specified | No sensitivity analysis applied | Peer reviewed literature and national statistics | -0,206 to 148077 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Costs depend on the abatement measure Abatement measures considered Improved insultation Increased ventilation efficiency Frequent slurry removal Increased slurry dilution Anaerobic digestion Slurry acidification Also combinations of measures is considered. |
Limited data availability regarding economic information, Large uncertainites LCA model. Economic uncertianites (i.e. farmer behaviour, agri-environmental policy) not taken into account. Costs and revenues assumed to be static, but in reality dynamic. No weighting factors assinged to impact categories because more appropriate for decision makers to make these. | |
| 15 | LV | Pexas et al. (2020) | Cost-effectiveness of environmental impact abatement measures in a European pig production system | https://doi.org/10.1016/j.agsy.2020.102843 | 2020 | Peer-reviewed paper | Cradle to farm-gate | 500-sow integrated pig production system | Pigs | Farm | Not applicable | Denmark | Environmental | Acidification | Human and natural capital | Tonnes SO2 eq. | Not specified | LCA | Simapro | Abatement costs | Own calculations | See external costs | See external costs | 500-sow integrated pig production system in Denmark (defined as the repreesntative integrated Danish pig farm) | 2012-2017 | Not specified | No sensitivity analysis applied | Peer reviewed literature and national statistics | 303 to 126712 | Euro/ton SO2 eq. | Costs depend on the abatement measure Abatement measures considered Improved insultation Increased ventilation efficiency Frequent slurry removal Increased slurry dilution Anaerobic digestion Slurry acidification Also combinations of measures is considered. |
Limited data availability regarding economic information, Large uncertainites LCA model. Economic uncertianites (i.e. farmer behaviour, agri-environmental policy) not taken into account. Costs and revenues assumed to be static, but in reality dynamic. No weighting factors assinged to impact categories because more appropriate for decision makers to make these. | ||
| 15 | LV | Pexas et al. (2020) | Cost-effectiveness of environmental impact abatement measures in a European pig production system | https://doi.org/10.1016/j.agsy.2020.102843 | 2020 | Peer-reviewed paper | Cradle to farm-gate | 500-sow integrated pig production system | Pigs | Farm | Not applicable | Denmark | Environmental | Eutrophication potential | Human and natural capital | Tonnes PO43- | Not specified | LCA | Simapro | Abatement costs | Own calculations | See external costs | See external costs | 500-sow integrated pig production system in Denmark (defined as the repreesntative integrated Danish pig farm) | 2012-2017 | Not specified | No sensitivity analysis applied | Peer reviewed literature and national statistics | 1190 to 2891883 | Euro/ton PO43- | Costs depend on the abatement measure considered Improved insultation Increased ventilation efficiency Frequent slurry removal Increased slurry dilution Anaerobic digestion Slurry acidification Also combinations of measures is considered. |
Limited data availability regarding economic information, Large uncertainites LCA model. Economic uncertianites (i.e. farmer behaviour, agri-environmental policy) not taken into account. Costs and revenues assumed to be static, but in reality dynamic. No weighting factors assinged to impact categories because more appropriate for decision makers to make these. | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 1.84 | Euro/kg NH3 | Marginal abatement costs for 10% NH3 reduction | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 3.12 | Euro/kg NH3 | Marginal abatement costs for 20% NH3 reduction | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 4.02 | Euro/kg NH3 | Marginal abatement costs for 30% NH3 reduction | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 6.45 | Euro/kg NH3 | Marginal abatement costs for 40% NH3 reduction | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 8.01 | Euro/kg NH3 | Marginal abatement costs for 50% NH3 reduction | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 17.16 | Euro/kg NH3 | Marginal abatement costs for 60% NH3 reduction | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 1486 | Euro/aggregrage deposition score | Marginal abatement costs for 10% impact reduction on aggregate deposition score | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 3033 | Euro/aggregrage deposition score | Marginal abatement costs for 20% impact reduction on aggregate deposition score | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 5364 | Euro/aggregrage deposition score | Marginal abatement costs for 30% impact reduction on aggregate deposition score | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 9634 | Euro/aggregrage deposition score | Marginal abatement costs for 40% impact reduction on aggregate deposition score | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 16842 | Euro/aggregrage deposition score | Marginal abatement costs for 50% impact reduction on aggregate deposition score | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 16 | LV | De Pue and Buysse (2020) | Safeguarding Natura 2000 habitats from nitrogen deposition by tackling ammonia emissions from livestock facilities | https://doi.org/10.1016/j.envsci.2020.05.004 | 2020 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, pigs and poultry | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Abatement costs | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | 23408 livestock farms and 71787 ha of protected habitats within the Natura 2000 network | No sensitivity analysis applied | Peer reviewed literature and national statistics | 30367 | Euro/aggregrage deposition score | Marginal abatement costs for 60% impact reduction on aggregate deposition score | Other stages in manure management chain and interaction of ammonia with other compounds (such as methane) not considered. Emissions outside borders of Flanders not considered. Feeding strategies not included as abatement option | ||
| 17 | LV | De Pue, Bral and Buysse (2019) | Abatement of ammonia emissions from livestock housing fine-tuned according to impact on protected habitats | https://doi.org/10.1016/j.agsy.2019.102667 | 2019 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, veal, pigs, poultry, sheeps and goats | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Benefit | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | All farms in Flanders that housed livestock in 2015 | No sensitivity analysis applied | Peer reviewed literature and national statistics | 1230 | Billion euro | Full capacity scenario: maximum number of animals allowed in every single farm, without any restriction on the impact of ammonia emission on Natura 2000 sites | Model is static, assumed that all farmes faced decision to build new stable and adopt emission abatement techniques in long-term. However, this decision comes at different points in time for every farm. | ||
| 17 | LV | De Pue, Bral and Buysse (2019) | Abatement of ammonia emissions from livestock housing fine-tuned according to impact on protected habitats | https://doi.org/10.1016/j.agsy.2019.102667 | 2019 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, veal, pigs, poultry, sheeps and goats | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Benefit | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | All farms in Flanders that housed livestock in 2015 | No sensitivity analysis applied | Peer reviewed literature and national statistics | 1164 | Billion euro | scenario CP1, the current Flemish policy is simulated, in which no farm is allowed to have a Significance Score higher than 5% | Model is static, assumed that all farmes faced decision to build new stable and adopt emission abatement techniques in long-term. However, this decision comes at different points in time for every farm. | ||
| 17 | LV | De Pue, Bral and Buysse (2019) | Abatement of ammonia emissions from livestock housing fine-tuned according to impact on protected habitats | https://doi.org/10.1016/j.agsy.2019.102667 | 2019 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, veal, pigs, poultry, sheeps and goats | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Benefit | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | All farms in Flanders that housed livestock in 2015 | No sensitivity analysis applied | Peer reviewed literature and national statistics | 1183 | Billion euro | scenario CP2: the same restriction on Significance Score as in CP1 is imposed (Eq. 24), but the option for choosing LAES or additional emission abatement techniques is allowed. By comparing CP2 to CP1, the technological potential for emission abatement is assessed. In CP1, the only option to reduce ammonia emissions is to reduce the number of animals, while in CP2, for some farms, building another stable type or adopting an additional emission abatement measures becomes an option. | Model is static, assumed that all farmes faced decision to build new stable and adopt emission abatement techniques in long-term. However, this decision comes at different points in time for every farm. | ||
| 17 | LV | De Pue, Bral and Buysse (2019) | Abatement of ammonia emissions from livestock housing fine-tuned according to impact on protected habitats | https://doi.org/10.1016/j.agsy.2019.102667 | 2019 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, veal, pigs, poultry, sheeps and goats | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Benefit | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | All farms in Flanders that housed livestock in 2015 | No sensitivity analysis applied | Peer reviewed literature and national statistics | 1178 | Billion euro | Scenario SO1: In scenarios SO1 and SO2, we let the model freely decide where to allocate emissions, because no individual impact constraints are imposed. Furthermore, animal categories that do not belong to farm types for which we have gross margins, are fixed to the maximum allowed per stable. In SO1, the overall impact is minimzed. | Model is static, assumed that all farmes faced decision to build new stable and adopt emission abatement techniques in long-term. However, this decision comes at different points in time for every farm. | ||
| 17 | LV | De Pue, Bral and Buysse (2019) | Abatement of ammonia emissions from livestock housing fine-tuned according to impact on protected habitats | https://doi.org/10.1016/j.agsy.2019.102667 | 2019 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle, beef cattle, veal, pigs, poultry, sheeps and goats | Region | Not applicable | Flanders (Belgium) | Environmental | Acidification | Natural capital | NH3 emissions | Not applicable | Mixed integer programming approach | Immission Frequency Distribution model | Benefit | Own calculations | See external costs | See external costs | Flanders, Belgium | 2015 | All farms in Flanders that housed livestock in 2015 | No sensitivity analysis applied | Peer reviewed literature and national statistics | 1224 | Billion euro | Scenario SO2: In scenarios SO2 and SO2, we let the model freely decide where to allocate emissions, because no individual impact constraints are imposed. Furthermore, animal categories that do not belong to farm types for which we have gross margins, are fixed to the maximum allowed per stable.In scenario SO2, the overall benefit is maximized | Model is static, assumed that all farmes faced decision to build new stable and adopt emission abatement techniques in long-term. However, this decision comes at different points in time for every farm. | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Country | Eggs | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 0.21 | Euro per kg eggs | extra costs on top of producer price | Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Layers | Country | Eggs | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + LUC emission costs | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 0.21 | Euro per kg eggs | extra costs on top of producer price | LUC only for Brazil and Argentina. Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Poultry | Country | Chicken meat | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 2.37 | Euro per kg chicken meat | extra costs on top of producer price | Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Poultry | Country | Chicken meat | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + LUC emission costs | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 2.85 | Euro per kg chicken meat | extra costs on top of producer price | LUC only for Brazil and Argentina. Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Country | Pork meat | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 1 | Euro per kg pork meat | extra costs on top of producer price | Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Pigs | Country | Pork meat | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + LUC emission costs | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 1.72 | Euro per kg pork meat | extra costs on top of producer price | LUC only for Brazil and Argentina. Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Ruminants (not specified wich animal species) | Country | Beef | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 4.47 | Euro per kg meat | extra costs on top of producer price | Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Ruminants (not specified wich animal species) | Country | Beef | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + LUC emission costs | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 6.65 | Euro per kg meat | extra costs on top of producer price | LUC only for Brazil and Argentina. Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Country | Milk | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 0.2 | Euro per kg milk | extra costs on top of producer price | Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Dairy cattle | Country | Milk | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + LUC emission costs | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 0.24 | Euro per kg milk | extra costs on top of producer price | LUC only for Brazil and Argentina. Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Cattle, pigs, poultry (no dairy) | Country | Not applicable | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 1.6 | Euro per kg produce | extra costs on top of producer price | Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Conventional | Cattle, pigs, poultry (no dairy) | Country | Not applicable | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + LUC emission costs | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 2.41 | Euro per kg produce | extra costs on top of producer price | LUC only for Brazil and Argentina. Price factor for CO2 equivalents (180 Euro per ton) is volatile over time, impacting the results of this paper | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Organic | Layers | Country | Eggs | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + meta-analystic values | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 0.32 | Euro per kg eggs | extra costs on top of producer price | No direct input data for organic farming from GEMIS, instead meta-analytical data is used to estimate emission from organic farming (percentage differences), meta-analytical approach not fully consistent | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Organic | Poultry | Country | Chicken meat | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + meta-analystic values | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 3.56 | Euro per kg chicken meat | extra costs on top of producer price | No direct input data for organic farming from GEMIS, instead meta-analytical data is used to estimate emission from organic farming (percentage differences), meta-analytical approach not fully consistent | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Organic | Pigs | Country | Pork meat | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + meta-analystic values | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 1.5 | Euro per kg pork meat | extra costs on top of producer price | No direct input data for organic farming from GEMIS, instead meta-analytical data is used to estimate emission from organic farming (percentage differences), meta-analytical approach not fully consistent | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Organic | Ruminants (not specified wich animal species) | Country | Beef | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + meta-analystic values | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 6.73 | Euro per kg meat | extra costs on top of producer price | No direct input data for organic farming from GEMIS, instead meta-analytical data is used to estimate emission from organic farming (percentage differences), meta-analytical approach not fully consistent | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Organic | Dairy cattle | Country | Milk | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + meta-analystic values | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 0.19 | Euro per kg milk | extra costs on top of producer price | No direct input data for organic farming from GEMIS, instead meta-analytical data is used to estimate emission from organic farming (percentage differences), meta-analytical approach not fully consistent | ||
| 18 | KOlt | Pieper, Michalke and Gaugler (2020) | Calculation of external climate costs for food highlights inadequate pricing of animal products | https://doi.org/10.1038/s41467-020-19474-6 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Organic | Cattle, pigs, poultry (no dairy) | Country | Not applicable | Germany | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | LCA + meta-analystic values | GEMIS (Global Emission Modell of Integrated Systems) + LUC emission | Damage costs | German Federal Enviroment Agency (2019) | 180 | euro per ton CO2-eq. | Germany | 2000-2015 | 15 relevant studies (1995-2015) and National census data | not applied | Data from peer-reviewed articles plus agricultural census | 2.41 | Euro per kg produce | extra costs on top of producer price | No direct input data for organic farming from GEMIS, instead meta-analytical data is used to estimate emission from organic farming (percentage differences), meta-analytical approach not fully consistent | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Acidification | Natural capital | NH3 emissions | NH3 | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Damage costs | German Federal Enviroment Agency (2007) | See external costs | See external costs | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 2365 | Million euro | Damage costs for whole Lower Saxony in the reference scenario | 2 scenario's: Business as usual and 100% implementation in the reference scenario | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human capital | PM | PM2.5 and PM10 | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Damage costs | German Federal Enviroment Agency (2007) | See external costs | See external costs | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 381 | Million euro | Damage costs for whole Lower Saxony in the reference scenario | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2, CH4, N2O | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Damage costs | German Federal Enviroment Agency (2007) | See external costs | See external costs | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 1106 | Million euro | Damage costs for whole Lower Saxony in the reference scenario | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Acidification | Natural capital | NH3 emissions | NH3 | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg NH3 | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | -6.8 | Euro per kg NH3 | Low-protein in pig feeding | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Acidification | Natural capital | NH3 emissions | NH3 | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg NH3 | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 25.6 | Euro per kg NH3 | Trailing hose | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Acidification | Natural capital | NH3 emissions | NH3 | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg NH3 | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 7.1 | Euro per kg NH3 | Trailing Shoe | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systemsLivestock production systems not specified | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Acidification | Natural capital | NH3 emissions | NH3 | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg NH3 | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 5.7 | Euro per kg NH3 | Injector/cultivator | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Acidification | Natural capital | NH3 emissions | NH3 | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg NH3 | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 4.7 | Euro per kg NH3 | 1- stage chemical washer | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Acidification | Natural capital | NH3 emissions | NH3 | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg NH3 | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 10.3 | Euro per kg NH3 | 3-stage system | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg CO2 eq | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | -0.02 | Euro per kg CO2 eq | Low-protein in pig feeding | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg CO2 eq | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 0.08 | Euro per kg CO2 eq | Trailing hose | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg CO2 eq | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 0.02 | Euro per kg CO2 eq | Trailing Shoe | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systemsLivestock production systems not specified | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg CO2 eq | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 0.02 | Euro per kg CO2 eq | Injector/cultivator | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg CO2 eq | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 0.02 | Euro per kg CO2 eq | 1- stage chemical washer | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Climate change | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg CO2 eq | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 0.03 | Euro per kg CO2 eq | 3-stage system | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg PM 2,5 | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | -0.3 | Euro per kg PM 2,5 | Low-protein in pig feeding | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg PM 2,5 | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 13.2 | Euro per kg PM 2,5 | 1- stage chemical washer | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg PM 2,5 | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 28.9 | Euro per kg PM 2,5 | 3-stage system | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg PM coarse | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | -0.3 | Euro per kg PM coarse | Low-protein in pig feeding | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg PM coarse | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 0.7 | Euro per kg PM coarse | 1- stage chemical washer | 2 scenario's: Business as usual and 100% implementation | ||
| 19 | KOlt | Wagner, Angenendt, Beletskaya and Zeddies (2015) | Costs and benefits of ammonia and particulate matter abatement in German agriculture including interactions with greenhouse gas emissions | https://dx.doi.org/10.1016/j.agsy.2015.09.003 | 2015 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human and natural capital | Greenhouse gas emissions | CO2 eq | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg PM coarse | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Sensitivity analysis on the substution of a number of abatement measure | Official statistical farm data and relevant literature for EFs | 0.5 | Euro per kg PM coarse | 3-stage system | 2 scenario's: Business as usual and 100% implementation | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 28.6 | Euro per unit of NOx emissions | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 in EU | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 17.1 | Euro per unit of NOx emissions | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 9.4 | Euro per unit of NOx emissions | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.4 | Euro per unit of NOx emissions | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 24 | Euro per unit of NOx emissions | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.5 | Euro per unit of NOx emissions | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.7 | Euro per unit of NOx emissions | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.5 | Euro per unit of NOx emissions | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 25.3 | Euro per unit of NOx emissions | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 31.5 | Euro per unit of NOx emissions | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.8 | Euro per unit of NOx emissions | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 17.7 | Euro per unit of NOx emissions | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.5 | Euro per unit of NOx emissions | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 18.7 | Euro per unit of NOx emissions | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.6 | Euro per unit of NOx emissions | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 5.9 | Euro per unit of NOx emissions | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 28.6 | Euro per unit of NOx emissions | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 13 | Euro per unit of NOx emissions | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 21.7 | Euro per unit of NOx emissions | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.8 | Euro per unit of NOx emissions | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.3 | Euro per unit of NOx emissions | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 9.6 | Euro per unit of NOx emissions | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 17.1 | Euro per unit of NOx emissions | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 22 | Euro per unit of NOx emissions | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 8.5 | Euro per unit of NOx emissions | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 7.2 | Euro per unit of NOx emissions | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.8 | Euro per unit of NOx emissions | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 15.8 | Euro per unit of NOx emissions | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.8 | Euro per unit of NOx emissions | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 35 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.6 | Euro per unit of NH3 emissions | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 36.4 | Euro per unit of NH3 emissions | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 7.3 | Euro per unit of NH3 emissions | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.8 | Euro per unit of NH3 emissions | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 24.3 | Euro per unit of NH3 emissions | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 9.6 | Euro per unit of NH3 emissions | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.4 | Euro per unit of NH3 emissions | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.7 | Euro per unit of NH3 emissions | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.6 | Euro per unit of NH3 emissions | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 21.9 | Euro per unit of NH3 emissions | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.9 | Euro per unit of NH3 emissions | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 13.4 | Euro per unit of NH3 emissions | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.2 | Euro per unit of NH3 emissions | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 13.4 | Euro per unit of NH3 emissions | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.8 | Euro per unit of NH3 emissions | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.1 | Euro per unit of NH3 emissions | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 30.4 | Euro per unit of NH3 emissions | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 11.3 | Euro per unit of NH3 emissions | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 26.7 | Euro per unit of NH3 emissions | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.1 | Euro per unit of NH3 emissions | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.5 | Euro per unit of NH3 emissions | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 7.5 | Euro per unit of NH3 emissions | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 17 | Euro per unit of NH3 emissions | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 15.8 | Euro per unit of NH3 emissions | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 5.2 | Euro per unit of NH3 emissions | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 7.2 | Euro per unit of NH3 emissions | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 20.6 | Euro per unit of NH3 emissions | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.3 | Euro per unit of NH3 emissions | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 10.9 | Euro per unit of NH3 emissions | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 38 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.9 | Euro per unit of N leaching | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.4 | Euro per unit of N leaching | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.6 | Euro per unit of N leaching | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.8 | Euro per unit of N leaching | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.6 | Euro per unit of N leaching | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.4 | Euro per unit of N leaching | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.1 | Euro per unit of N leaching | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.9 | Euro per unit of N leaching | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of N leaching | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.4 | Euro per unit of N leaching | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of N leaching | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.9 | Euro per unit of N leaching | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 5 | Euro per unit of NOx emissions | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.2 | Euro per unit of NOx emissions | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of NOx emissions | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0 | Euro per unit of NOx emissions | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.8 | Euro per unit of NOx emissions | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.3 | Euro per unit of NOx emissions | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.6 | Euro per unit of NOx emissions | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.5 | Euro per unit of NOx emissions | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.6 | Euro per unit of NOx emissions | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.6 | Euro per unit of NOx emissions | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.1 | Euro per unit of NOx emissions | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.3 | Euro per unit of NOx emissions | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.5 | Euro per unit of NOx emissions | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NOx emissions | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.8 | Euro per unit of NOx emissions | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of NOx emissions | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 5.1 | Euro per unit of NOx emissions | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.3 | Euro per unit of NOx emissions | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.8 | Euro per unit of NOx emissions | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NOx emissions | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of NOx emissions | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of NOx emissions | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.6 | Euro per unit of NOx emissions | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.7 | Euro per unit of NOx emissions | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of NOx emissions | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.6 | Euro per unit of NOx emissions | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.6 | Euro per unit of NOx emissions | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.5 | Euro per unit of NOx emissions | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.5 | Euro per unit of NOx emissions | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 1 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.7 | Euro per unit of NH3 emissions | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3 | Euro per unit of NH3 emissions | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.4 | Euro per unit of NH3 emissions | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.1 | Euro per unit of NH3 emissions | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NH3 emissions | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.4 | Euro per unit of NH3 emissions | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.6 | Euro per unit of NH3 emissions | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NH3 emissions | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.3 | Euro per unit of NH3 emissions | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.6 | Euro per unit of NH3 emissions | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.1 | Euro per unit of NH3 emissions | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.1 | Euro per unit of NH3 emissions | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.3 | Euro per unit of NH3 emissions | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.5 | Euro per unit of NH3 emissions | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.5 | Euro per unit of NH3 emissions | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.8 | Euro per unit of NH3 emissions | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.9 | Euro per unit of NH3 emissions | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.3 | Euro per unit of NH3 emissions | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.8 | Euro per unit of NH3 emissions | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NH3 emissions | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.4 | Euro per unit of NH3 emissions | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.4 | Euro per unit of NH3 emissions | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.2 | Euro per unit of NH3 emissions | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.1 | Euro per unit of NH3 emissions | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.3 | Euro per unit of NH3 emissions | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.8 | Euro per unit of NH3 emissions | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.1 | Euro per unit of NH3 emissions | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.1 | Euro per unit of NH3 emissions | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NH3 emissions | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 5 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 29 | Euro per unit of N runoff/deposition | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 26.5 | Euro per unit of N runoff/deposition | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2 | Euro per unit of N runoff/deposition | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 20 | Euro per unit of N runoff/deposition | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 13.9 | Euro per unit of N runoff/deposition | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 41.8 | Euro per unit of N runoff/deposition | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.1 | Euro per unit of N runoff/deposition | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 24.9 | Euro per unit of N runoff/deposition | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 22.8 | Euro per unit of N runoff/deposition | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 23 | Euro per unit of N runoff/deposition | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 16.9 | Euro per unit of N runoff/deposition | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 8.8 | Euro per unit of N runoff/deposition | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 29.5 | Euro per unit of N runoff/deposition | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 20.4 | Euro per unit of N runoff/deposition | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.7 | Euro per unit of N runoff/deposition | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of N runoff/deposition | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 80.4 | Euro per unit of N runoff/deposition | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 15.1 | Euro per unit of N runoff/deposition | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 31.8 | Euro per unit of N runoff/deposition | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 5.8 | Euro per unit of N runoff/deposition | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.3 | Euro per unit of N runoff/deposition | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.5 | Euro per unit of N runoff/deposition | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.1 | Euro per unit of N runoff/deposition | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 16.2 | Euro per unit of N runoff/deposition | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 20.9 | Euro per unit of N runoff/deposition | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 39.5 | Euro per unit of N runoff/deposition | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 25.1 | Euro per unit of N runoff/deposition | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 29.8 | Euro per unit of N runoff/deposition | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 8.6 | Euro per unit of N runoff/deposition | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | 58 | Billion euro | External costs refer to current practice in 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 28.6 | Euro per unit of NOx emissions | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 17.1 | Euro per unit of NOx emissions | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 9.4 | Euro per unit of NOx emissions | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.4 | Euro per unit of NOx emissions | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 24 | Euro per unit of NOx emissions | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.5 | Euro per unit of NOx emissions | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.7 | Euro per unit of NOx emissions | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.5 | Euro per unit of NOx emissions | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 25.3 | Euro per unit of NOx emissions | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 31.5 | Euro per unit of NOx emissions | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.8 | Euro per unit of NOx emissions | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 17.7 | Euro per unit of NOx emissions | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.5 | Euro per unit of NOx emissions | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 18.7 | Euro per unit of NOx emissions | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.6 | Euro per unit of NOx emissions | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 5.9 | Euro per unit of NOx emissions | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 28.6 | Euro per unit of NOx emissions | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 13 | Euro per unit of NOx emissions | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 21.7 | Euro per unit of NOx emissions | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.8 | Euro per unit of NOx emissions | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.3 | Euro per unit of NOx emissions | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 9.6 | Euro per unit of NOx emissions | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 17.1 | Euro per unit of NOx emissions | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 22 | Euro per unit of NOx emissions | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 8.5 | Euro per unit of NOx emissions | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 7.2 | Euro per unit of NOx emissions | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.8 | Euro per unit of NOx emissions | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 15.8 | Euro per unit of NOx emissions | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.8 | Euro per unit of NOx emissions | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -1.9 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.6 | Euro per unit of NH3 emissions | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 36.4 | Euro per unit of NH3 emissions | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 7.3 | Euro per unit of NH3 emissions | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.8 | Euro per unit of NH3 emissions | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 24.3 | Euro per unit of NH3 emissions | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 9.6 | Euro per unit of NH3 emissions | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.4 | Euro per unit of NH3 emissions | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.7 | Euro per unit of NH3 emissions | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.6 | Euro per unit of NH3 emissions | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 21.9 | Euro per unit of NH3 emissions | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.9 | Euro per unit of NH3 emissions | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 13.4 | Euro per unit of NH3 emissions | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.2 | Euro per unit of NH3 emissions | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 13.4 | Euro per unit of NH3 emissions | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.8 | Euro per unit of NH3 emissions | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.1 | Euro per unit of NH3 emissions | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 30.4 | Euro per unit of NH3 emissions | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 11.3 | Euro per unit of NH3 emissions | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 26.7 | Euro per unit of NH3 emissions | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.1 | Euro per unit of NH3 emissions | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.5 | Euro per unit of NH3 emissions | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 7.5 | Euro per unit of NH3 emissions | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 17 | Euro per unit of NH3 emissions | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 15.8 | Euro per unit of NH3 emissions | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 5.2 | Euro per unit of NH3 emissions | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 7.2 | Euro per unit of NH3 emissions | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 20.6 | Euro per unit of NH3 emissions | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.3 | Euro per unit of NH3 emissions | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Air pollution | Human capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 10.9 | Euro per unit of NH3 emissions | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -3.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.9 | Euro per unit of N leaching | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.4 | Euro per unit of N leaching | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.6 | Euro per unit of N leaching | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.8 | Euro per unit of N leaching | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.6 | Euro per unit of N leaching | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.4 | Euro per unit of N leaching | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.1 | Euro per unit of N leaching | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.9 | Euro per unit of N leaching | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of N leaching | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.4 | Euro per unit of N leaching | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of N leaching | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.9 | Euro per unit of N leaching | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Nitrate drinking water | Natural capital | N leaching | Unit of N leaching | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of N leaching | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 5 | Euro per unit of NOx emissions | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.2 | Euro per unit of NOx emissions | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of NOx emissions | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0 | Euro per unit of NOx emissions | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.8 | Euro per unit of NOx emissions | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.3 | Euro per unit of NOx emissions | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.6 | Euro per unit of NOx emissions | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.5 | Euro per unit of NOx emissions | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.6 | Euro per unit of NOx emissions | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.6 | Euro per unit of NOx emissions | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.1 | Euro per unit of NOx emissions | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.3 | Euro per unit of NOx emissions | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.5 | Euro per unit of NOx emissions | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NOx emissions | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.8 | Euro per unit of NOx emissions | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.7 | Euro per unit of NOx emissions | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 5.1 | Euro per unit of NOx emissions | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.3 | Euro per unit of NOx emissions | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.8 | Euro per unit of NOx emissions | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NOx emissions | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of NOx emissions | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of NOx emissions | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.6 | Euro per unit of NOx emissions | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.7 | Euro per unit of NOx emissions | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.2 | Euro per unit of NOx emissions | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.6 | Euro per unit of NOx emissions | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.6 | Euro per unit of NOx emissions | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.5 | Euro per unit of NOx emissions | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NOx emissions | Unit of NOx emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.5 | Euro per unit of NOx emissions | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.1 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.7 | Euro per unit of NH3 emissions | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3 | Euro per unit of NH3 emissions | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.4 | Euro per unit of NH3 emissions | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.1 | Euro per unit of NH3 emissions | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NH3 emissions | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.4 | Euro per unit of NH3 emissions | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.6 | Euro per unit of NH3 emissions | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NH3 emissions | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.3 | Euro per unit of NH3 emissions | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.6 | Euro per unit of NH3 emissions | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.1 | Euro per unit of NH3 emissions | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.1 | Euro per unit of NH3 emissions | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.3 | Euro per unit of NH3 emissions | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.5 | Euro per unit of NH3 emissions | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.5 | Euro per unit of NH3 emissions | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.8 | Euro per unit of NH3 emissions | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.9 | Euro per unit of NH3 emissions | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.3 | Euro per unit of NH3 emissions | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 3.8 | Euro per unit of NH3 emissions | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NH3 emissions | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.4 | Euro per unit of NH3 emissions | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.4 | Euro per unit of NH3 emissions | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.2 | Euro per unit of NH3 emissions | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 4.1 | Euro per unit of NH3 emissions | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.3 | Euro per unit of NH3 emissions | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.8 | Euro per unit of NH3 emissions | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 0.1 | Euro per unit of NH3 emissions | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.1 | Euro per unit of NH3 emissions | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of terrestrial ecosystems | Natural capital | NH3 emissions | Unit of NH3 emissions | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of NH3 emissions | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -0.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 29 | Euro per unit of N runoff/deposition | Austria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 26.5 | Euro per unit of N runoff/deposition | Belgium | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2 | Euro per unit of N runoff/deposition | Bulgaria | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 20 | Euro per unit of N runoff/deposition | Cyprus | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 13.9 | Euro per unit of N runoff/deposition | Czech. Rep | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 41.8 | Euro per unit of N runoff/deposition | Denmark | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.1 | Euro per unit of N runoff/deposition | Estonia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 24.9 | Euro per unit of N runoff/deposition | Finland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 22.8 | Euro per unit of N runoff/deposition | France | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 23 | Euro per unit of N runoff/deposition | Germany | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 16.9 | Euro per unit of N runoff/deposition | Greece | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 8.8 | Euro per unit of N runoff/deposition | Hungary | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 29.5 | Euro per unit of N runoff/deposition | Ireland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 20.4 | Euro per unit of N runoff/deposition | Italy | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.7 | Euro per unit of N runoff/deposition | Latvia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 1.7 | Euro per unit of N runoff/deposition | Lithuania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 80.4 | Euro per unit of N runoff/deposition | Luxembourg | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 15.1 | Euro per unit of N runoff/deposition | Malta | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 31.8 | Euro per unit of N runoff/deposition | Netherlands | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 5.8 | Euro per unit of N runoff/deposition | Poland | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 14.3 | Euro per unit of N runoff/deposition | Portugal | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 2.5 | Euro per unit of N runoff/deposition | Romania | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 12.1 | Euro per unit of N runoff/deposition | Slovakia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 16.2 | Euro per unit of N runoff/deposition | Slovenia | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 20.9 | Euro per unit of N runoff/deposition | Spain | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 39.5 | Euro per unit of N runoff/deposition | Sweden | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 25.1 | Euro per unit of N runoff/deposition | United Kingdom | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 29.8 | Euro per unit of N runoff/deposition | EU-15 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 20 | LV | Van Grinsven et al. (2018) | Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union | https://doi.org/10.1007/s10113-018-1335-5 | 2018 | Peer-reviewed paper | Farm to farm-gate | Pig production systems | Pigs | Group of countries | Not applicable | EU-27 | Environmental | Degradation of aquatic ecosystems | Natural capital | N runoff/deposition | Unit of N runoff | Cost-benefit analysis | MITERRA | Damage costs | Grinsven et al. (2013) | 8.6 | Euro per unit of N runoff/deposition | EU-12 | 2008 | 224 NUTS2 regions in EU27 | No sensitivity analysis applied | Data from national authorities and peer reviewed literature | -7.5 | Billion euro | External costs refer to best N management practices in 2008; change relative to current practice 2008 | Data availability | ||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Angus production system | Suckler cows - Angus | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 22.5 kg CO2 eq./kg carcass weight, applying mitigation options without agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Angus production system | Suckler cows - Angus | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 20 kg CO2 eq./kg carcass weight, applying mitigation options without agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Angus production system | Suckler cows - Angus | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.53 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 17.5 kg CO2 eq./kg carcass weight, applying mitigation options without agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Angus production system | Suckler cows - Angus | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 22,5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Angus production system | Suckler cows - Angus | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 20 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Angus production system | Suckler cows - Angus | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 17,5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Angus production system | Suckler cows - Angus | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.01 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 15 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Angus production system | Suckler cows - Angus | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.24 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 10 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Angus production system | Suckler cows - Angus | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.38 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 7,5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Charolais production system | Suckler cows - Charolais | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 1.14 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Charolais production system | Suckler cows - Charolais | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 22.5 kg CO2 eq./kg carcass weight, applying mitigation options without agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Charolais production system | Suckler cows - Charolais | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 20 kg CO2 eq./kg carcass weight, applying mitigation options without agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Charolais production system | Suckler cows - Charolais | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.08 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 17.5 kg CO2 eq./kg carcass weight, applying mitigation options without agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Charolais production system | Suckler cows - Charolais | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 22,5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Charolais production system | Suckler cows - Charolais | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 20 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Charolais production system | Suckler cows - Charolais | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 17,5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Charolais production system | Suckler cows - Charolais | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 15 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Charolais production system | Suckler cows - Charolais | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.11 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 10 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Charolais production system | Suckler cows - Charolais | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.24 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 7,5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.5 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 22.5 kg CO2 eq./kg carcass weight, applying mitigation options without agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.44 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 20 kg CO2 eq./kg carcass weight, applying mitigation options without agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 22.5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 20 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 17.5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.01 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 15 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.02 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 10 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.03 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 7.5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.11 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.25 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 2.5 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 21 | LV | S. Briner; M. Hartmann; R. Finger; B. Lehmann | Greenhouse gas mitigation and offset options for suckler cow farms: An economic comparison for the Swiss case | https://doi.org/10.1007/s11027-011-9329-3 | 2011 | Peer-reviewed paper | Cradle to farm-gate | Galloway production system | Suckler cows - Galloway | Farm | Not applicable | Switzerland | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC methodology | Integrated suckler cow optimisation model (INTSCOPT) | Abatement costs | Own calculations | Own calculations | N.a. | Switzerland | 2009 | Not specified | Sensitivity analysis on assumed rate of carbon sequestration | Based on IPCC data and scientific literature | 0.37 | CHF/kg carcass weight | Additional costs per kg of meat for the reduction of GHG emissions to 0 kg CO2 eq./kg carcass weight, applying mitigation options with agrofrestry | |||
| 22 | LV | L. Cecchini; Venanzi S.; Pierri A.; Chiorri M. | Environmental efficiency analysis and estimation of CO2 abatement costs in dairy cattle farms in Umbria (Italy): A SBM-DEA model with undesirable output | https://doi.org/10.1016/j.jclepro.2018.06.165 | 2018 | Peer-reviewed paper | Cradle to farm-gate | Not specified | Dairy cattle | Farm | Not applicable | Umbria (Italy) | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | Method applied in Cecchini et al. (2016) was used, in Cechini et al. (2016) it is not specified which method is applied for LCA | Simapro | Abatement costs | Own calculations | Own calculations | N.a. | Italy | 2014 | 10 farms | Average abatement costs for each farm compared with the average costs of 10 dairy farms (overall sample) | Own calculations | 243.08 | Euro/kg CO2 eq. | Limited sample size is main limitation, which could affect accuracy of efficient frontier estimation. Another limitation is the deterministic nature of the DEA appraoch | |||
| 23 | LV | A. Gocht; M. Espinosa; A. Leip; E. Lugato; L. A. Schroeder; B. Van Doorslaer; S. G. Y. Paloma | A grassland strategy for farming systems in Europe to mitigate GHG emissions—An integrated spatially differentiated modelling approach | https://doi.org/10.1016/j.landusepol.2016.07.024 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Arable and livestock farming systems | Dairy cattle beef cattle, sheep, goats and other grazing livestock, pig and poutry | Group of countries | Not applicable | EU-27 | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | Own method developed | CAPRI and CENTURY model | Abatement costs | Own calculations | Own calculations | N.a. | EU-27 | 2008 | 80000 farms across EU27 | Not applied | Farm Accountancy Data Network, European Commission price outlook and scientific literature | 97 | Euro/ton CO2 eq. | The abatement costs differ between member states. These costs range between 25 euro/ton CO2 eq. and 100 euro/ton CO2 eq. 97 euro/ton CO2 eq. is the average for EU-27 | Inclusion of more factors that affect C-sequestration rates in grasslands to improve accuracy | ||
| 24 | LV | C. Mosnier; W. Britz; T. Julliere; S. De Cara; P. A. Jayet; P. Havlík; S. Frank; A. Mosnier | Greenhouse gas abatement strategies and costs in French dairy production | https://doi.org/10.1016/j.jclepro.2019.07.064 | 2020 | Peer-reviewed paper | Cradle to farm-gate | Dairy farming | Dairy cattle | Farm | Not applicable | France | Environmental | Climate change | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | IPCC method on calculating GHG emissions | AROPAj, ORFEE, FARMDYN and GLOBIOM | Abatement costs | Own calculations | 20/50/100 | euro/ton CO2-eq. | France | 2017 | Not specified | Different carbon tax rate are simulated (20 euro/ton CO2 eq., 50 euro/ton CO2 eq., 100 euro/ton CO2 eq.) | No TCA results, effect of carbon tax rates on GHG emissions were simulated | n.a. | Better connection should be made between models, as partial requilibrium models do not include mitigation strategies used in supply models, while supply models should use prices developed by partial equilibrium omdels | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | euro/kg CO2-eq | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | -0.0939 | Euro/kg CO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | |||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | euro/kg CO2-eq | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, , abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.107 | Euro/kg CO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | |||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | euro/kg CO2-eq | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, , abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.067 | Euro/kg CO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | |||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | euro/kg CO2-eq | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, , abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | -0.38 | Euro/kg CO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | |||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | MJ | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/MJ | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | -0.00102 | Euro/MJ | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | MJ | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/MJ | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, , abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.00117 | Euro/MJ | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | MJ | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/MJ | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.000727 | Euro/MJ | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | MJ | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/MJ | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | -0.00346 | Euro/MJ | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | MJ | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/MJ | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.00531 | Euro/MJ | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | MJ | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/MJ | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, , abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.00508 | Euro/MJ | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | MJ | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/MJ | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.00508 | Euro/MJ | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | MJ | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/MJ | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.00544 | Euro/MJ | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Freshwater eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 2189 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Freshwater eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 2554 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Freshwater eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 2181 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Freshwater eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 13.4 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Freshwater eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 12.8 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Freshwater eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 12.8 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Freshwater eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 14.2 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Freshwater eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 1.52 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Freshwater eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 1.78 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Freshwater eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 1.52 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Freshwater eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 2.05 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Aquatic acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 1.52 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Aquatic acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 1.78 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Aquatic acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 1.52 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Aquatic acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 2.05 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Aquatic acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.135 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Aquatic acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.129 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Aquatic acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.129 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Aquatic acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.144 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | kg of antimony (Sb) eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg Sb eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 26907 | Euro/kg Sb eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | kg of antimony (Sb) eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg Sb eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, , abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 30775 | Euro/kg Sb eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | kg of antimony (Sb) eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg Sb eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, , abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 19186 | Euro/kg Sb eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | kg of antimony (Sb) eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg Sb eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, , abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 129374 | Euro/kg Sb eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | kg of antimony (Sb) eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg Sb eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 28242 | Euro/kg Sb eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | kg of antimony (Sb) eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg Sb eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, , abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 27036 | Euro/kg Sb eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | kg of antimony (Sb) eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg Sb eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, , abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 27036 | Euro/kg Sb eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Non-renewable resource use | Human capital | kg of antimony (Sb) eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg Sb eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, , abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 36066 | Euro/kg Sb eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Water use | Human and natural capital | M3 | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/m3 | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | -0.065 | Euro/m3 | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Water use | Human and natural capital | M3 | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/m3 | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.0743 | Euro/m3 | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Water use | Human and natural capital | M3 | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/m3 | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 0.0463 | Euro/m3 | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Water use | Human and natural capital | M3 | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/m3 | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | -0.213 | Euro/m3 | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Marine eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 2189 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Marine eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 2554 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Marine eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 2181 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Marine eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | |||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Marine eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 13.4 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Marine eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 12.8 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Marine eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 12.8 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Marine eutrophication | Natural capital | kg PO43- | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg PO43- | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for slurry acidification | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 14.2 | Euro/kg PO43- | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | -1.49 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 1.7 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 1.05 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for anaerobic digestion | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | -4.95 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 173 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study less than 400 m from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 202 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 484 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 236 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 2-3 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 12.9 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 25 | LV | G. Pexas; S. G. Mackenzie; M. Wallace; I. Kyriazakis | Accounting for spatial variability in life cycle cost-effectiveness assessments of environmental impact abatement measures | https://doi.org/10.1007/s11367-021-01915-z | 2021 | Peer-reviewed paper | Cradle to farm-gate | Pig farming | Pigs | Farm | Not applicable | Denmark | Environmental | Terrestrial acidification | Natural capital | SO2 eq. | ReCiPe 2016 | Simapro | Abatement costs | Pexas et al. (2020) | Own calculations | Euro/kg SO2 eq. | Jutland (Denmark) - case study further than 2 km from Natura 2000 and in region of 7 - 9 pig farms per hectare, abatement costs for screw press separation | not specified | Pig farms in four spatial zones selected in Jutland (Denmark) selected | Not applied | Data from peer reviewed literature | 2111 | Euro/kg SO2 eq. | Topographic heterogeneity is limited: Study only applied to Denmark, not applied to regions that exhibit larger topographic and climatic variability. Each impact category assessed individiually, no aggregation across impact categories. Study did not address uncertainties related to data that describe the system financial performance. | ||||
| 26 | LV | D. Blandford; I. Gaasland; E. Vårdal | Greenhouse Gas Abatement in Norwegian Agriculture: Costs or Benefits? | https://doi.org/10.1111/1746-692X.12089 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Livestock production systems | Not specified | Country | Not applicable | Norway | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Optimisation model developed by authors | Abatement costs | Not specified | Own calculations | NOK/kg CO2 (Norwegian Krone) | Norway - 10 percent reduction of GHG emissions (relative to baseline) | not specified | Based on agricultural production volumes in Norway | Not applied | Data from peer reviewed literature and national statistics | -0.5 | NOK/kg CO2 (Norwegian Krone) | External costs reflect social marginal abatement costs; negative sign means that there are net social benefits | Not specified | ||
| 26 | LV | D. Blandford; I. Gaasland; E. Vårdal | Greenhouse Gas Abatement in Norwegian Agriculture: Costs or Benefits? | https://doi.org/10.1111/1746-692X.12089 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Livestock production systems | Not specified | Country | Not applicable | Norway | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Optimisation model developed by authors | Abatement costs | Not specified | Own calculations | NOK/kg CO2 (Norwegian Krone) | Norway - 20 percent reduction of GHG emissions (relative to baseline) | not specified | Based on agricultural production volumes in Norway | Not applied | Data from peer reviewed literature and national statistics | -0.5 | NOK/kg CO2 (Norwegian Krone) | External costs reflect social marginal abatement costs; negative sign means that there are net social benefits | Not specified | ||
| 26 | LV | D. Blandford; I. Gaasland; E. Vårdal | Greenhouse Gas Abatement in Norwegian Agriculture: Costs or Benefits? | https://doi.org/10.1111/1746-692X.12089 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Livestock production systems | Not specified | Country | Not applicable | Norway | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Optimisation model developed by authors | Abatement costs | Not specified | Own calculations | NOK/kg CO2 (Norwegian Krone) | Norway - 30 percent reduction of GHG emissions (relative to baseline) | not specified | Based on agricultural production volumes in Norway | Not applied | Data from peer reviewed literature and national statistics | -0.5 | NOK/kg CO2 (Norwegian Krone) | External costs reflect social marginal abatement costs; negative sign means that there are net social benefits | Not specified | ||
| 26 | LV | D. Blandford; I. Gaasland; E. Vårdal | Greenhouse Gas Abatement in Norwegian Agriculture: Costs or Benefits? | https://doi.org/10.1111/1746-692X.12089 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Livestock production systems | Not specified | Country | Not applicable | Norway | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Optimisation model developed by authors | Abatement costs | Not specified | Own calculations | NOK/kg CO2 (Norwegian Krone) | Norway - 40 percent reduction of GHG emissions (relative to baseline) | not specified | Based on agricultural production volumes in Norway | Not applied | Data from peer reviewed literature and national statistics | -2.5 | NOK/kg CO2 (Norwegian Krone) | External costs reflect social marginal abatement costs; negative sign means that there are net social benefits | Not specified | ||
| 26 | LV | D. Blandford; I. Gaasland; E. Vårdal | Greenhouse Gas Abatement in Norwegian Agriculture: Costs or Benefits? | https://doi.org/10.1111/1746-692X.12089 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Livestock production systems | Not specified | Country | Not applicable | Norway | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Optimisation model developed by authors | Abatement costs | Not specified | Own calculations | NOK/kg CO2 (Norwegian Krone) | Norway - 50 percent reduction of GHG emissions (relative to baseline) | not specified | Based on agricultural production volumes in Norway | Not applied | Data from peer reviewed literature and national statistics | -1.5 | NOK/kg CO2 (Norwegian Krone) | External costs reflect social marginal abatement costs; negative sign means that there are net social benefits | Not specified | ||
| 26 | LV | D. Blandford; I. Gaasland; E. Vårdal | Greenhouse Gas Abatement in Norwegian Agriculture: Costs or Benefits? | https://doi.org/10.1111/1746-692X.12089 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Livestock production systems | Not specified | Country | Not applicable | Norway | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Optimisation model developed by authors | Abatement costs | Not specified | Own calculations | NOK/kg CO2 (Norwegian Krone) | Norway - 60 percent reduction of GHG emissions (relative to baseline) | not specified | Based on agricultural production volumes in Norway | Not applied | Data from peer reviewed literature and national statistics | -1 | NOK/kg CO2 (Norwegian Krone) | External costs reflect social marginal abatement costs; negative sign means that there are net social benefits | Not specified | ||
| 26 | LV | D. Blandford; I. Gaasland; E. Vårdal | Greenhouse Gas Abatement in Norwegian Agriculture: Costs or Benefits? | https://doi.org/10.1111/1746-692X.12089 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Livestock production systems | Not specified | Country | Not applicable | Norway | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Optimisation model developed by authors | Abatement costs | Not specified | Own calculations | NOK/kg CO2 (Norwegian Krone) | Norway - 70 percent reduction of GHG emissions | not specified | Based on agricultural production volumes in Norway | Not applied | Data from peer reviewed literature and national statistics | 0.5 | NOK/kg CO2 (Norwegian Krone) | External costs reflect social marginal abatement costs; negative sign means that there are net social benefits | Not specified | ||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Not specified | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | United kingdom | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 1748 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Beef cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | Beef animal management ionophores | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | -3603 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Beef cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | Beef animal management - improved genetics | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 0 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | Dairy animal management ionophores | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | -49 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | Dairy animal management - improved fertility | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 0 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | Dairy animal management - maize silage | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | -263 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Pigs | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | On-farm anaerobic digestion - pigs (large) | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 1 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Beef cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | On-farm anaerobic digestion - beef (large) | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 2 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Pigs | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | On-farm anaerobic digestion - pigs (medium) | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 5 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | On-farm anaerobic digestion - dairy (large) | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 8 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Poultry | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | Centralised aneraobic digestion poultry (5 mW) | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 11 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Beef cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | On-farm anaerobic digestion - beef (medium) | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 17 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | On-farm anaerobic digestion - dairy (medium) | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 24 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | Dairy animal management - bovine somatotropin | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 224 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Dairy cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | Dairy animal management - transgenics | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 1691 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 27 | LV | D. Moran; M. Macleod; E. Wall; V. Eory; A. McVittie; A. Barnes; R. Rees; C. F. E. Topp; A. Moxey | Marginal Abatement Cost Curves for UK Agricultural Greenhouse Gas Emissions | https://doi.org/10.1111/j.1477-9552.2010.00268.x | 2011 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Beef cattle | Country | Not applicable | United Kingdom | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N2O, CO2 | Not specified | Model developed by authors | Abatement costs | Defra (2022), other scientific literature (not specified which) and expert estimations | Own calculations | British pound/kg CO2 eq. | Beef animal management - concentrates | 2022 | Based on national statistics United Kingdom | Not applied | Peer reviewed literature and expert estimation | 2704 | British pound (2006)/t CO2 eq. | One marginal abatement cost curve estimated, curves can be estimated to cover categories of farm types and regional enviromnents, impacts beyond farm gate not considered, uncertain whether some of the idenfieid measures are counted directly in the current UK national emissions inventory format | |||
| 28 | LV | H. Van Hardeveld; H. De Jong; M. Knepfleoó; T. De Lange; P. Schot; B. Spanjers; S. Teurlincx | Integrated impact assessment of adaptive management strategies in a Dutch peatland polder | https://doi.org/10.5194/piahs-382-553-2020 | 2020 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Not applicable | Polder Zegveld (Netherlands) | Environmental | Global warming potential | Human and natural capital | CO2 eq. | CH4, N20 CO2 | Not specified | RE:PEAT tool | Damage costs (damage caused by dairy farming to real estate due to lower water surface level) | Not specified | Not specified | Not specified | Polder Zegveld | 2020 | Polder Zegveld | Not applied | Not specified | 0,4-1,7 | Million euro/year | Not specified | |||
| 29 | LV | W. Huang | Demand for plant-based milk and effects of a carbon tax on fresh milk consumption in Sweden | https://doi.org/10.1016/j.eap.2022.06.011 | 2022 | Peer-reviewed paper | Cradle to consumer-gate | Dairy farming | Dairy cattle | Product | Low-fat milk | Sweden | Environmental | Global warming potential | Human and natural capital | CO2 eq. | Not specified | Not specified | Model developed by authors | Damage costs | Government of Sweden | 1.18 | SEK/kg CO2 eq. | Sweden | 2019 | Sweden | Not applied | Data from peer reviewed literature and national authorities | 1.593 | SEK/litre milk | Limitation is weak separability among food subcategories | |||
| 29 | LV | W. Huang | Demand for plant-based milk and effects of a carbon tax on fresh milk consumption in Sweden | https://doi.org/10.1016/j.eap.2022.06.011 | 2022 | Peer-reviewed paper | Cradle to consumer-gate | Dairy farming | Dairy cattle | Product | Reduced fat milk | Sweden | Environmental | Global warming potential | Human and natural capital | CO2 eq. | Not specified | Not specified | Model developed by authors | Damage costs | Government of Sweden | 1.18 | SEK/kg CO2 eq. | Sweden | 2019 | Sweden | Not applied | Data from peer reviewed literature and national authorities | 1.652 | SEK/litre milk | Limitation is weak separability among food subcategories | |||
| 29 | LV | W. Huang | Demand for plant-based milk and effects of a carbon tax on fresh milk consumption in Sweden | https://doi.org/10.1016/j.eap.2022.06.011 | 2022 | Peer-reviewed paper | Cradle to consumer-gate | Dairy farming | Dairy cattle | Product | Standard milk | Sweden | Environmental | Global warming potential | Human and natural capital | CO2 eq. | Not specified | Not specified | Model developed by authors | Damage costs | Government of Sweden | 1.18 | SEK/kg CO2 eq. | Sweden | 2019 | Sweden | Not applied | Data from peer reviewed literature and national authorities | 1.451 | SEK/litre milk | Limitation is weak separability among food subcategories | |||
| 29 | LV | W. Huang | Demand for plant-based milk and effects of a carbon tax on fresh milk consumption in Sweden | https://doi.org/10.1016/j.eap.2022.06.011 | 2022 | Peer-reviewed paper | Cradle to consumer-gate | Dairy farming | Dairy cattle | Product | Other fresh milk | Sweden | Environmental | Global warming potential | Human and natural capital | CO2 eq. | Not specified | Not specified | Model developed by authors | Damage costs | Government of Sweden | 1.18 | SEK/kg CO2 eq. | Sweden | 2019 | Sweden | Not applied | Data from peer reviewed literature and national authorities | 1.593 | SEK/litre milk | Limitation is weak separability among food subcategories | |||
| 29 | LV | W. Huang | Demand for plant-based milk and effects of a carbon tax on fresh milk consumption in Sweden | https://doi.org/10.1016/j.eap.2022.06.011 | 2022 | Peer-reviewed paper | Cradle to consumer-gate | Arable farming | Arable farming | Product | Plant-based milk | Sweden | Environmental | Global warming potential | Human and natural capital | CO2 eq. | Not specified | Not specified | Model developed by authors | Damage costs | Government of Sweden | 1.18 | SEK/kg CO2 eq. | Sweden | 2019 | Sweden | Not applied | Data from peer reviewed literature and national authorities | 0.3 | SEK/litre milk | Limitation is weak separability among food subcategories | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers - sludge 1 | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9840 | Euro/year due to renal-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 55.03 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9640 | Euro/year due to osteoporosis-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 55.03 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers - sludge 1 | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9840 | Euro/year due to renal-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 58.69 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9640 | Euro/year due to osteoporosis-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 58.69 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers - sludge 1 | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9840 | Euro/year due to renal-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 60.29 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9640 | Euro/year due to osteoporosis-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 60.29 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers - sludge 1 | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9840 | Euro/year due to renal-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 57.32 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9640 | Euro/year due to osteoporosis-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 57.32 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers - sludge 1 | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9840 | Euro/year due to renal-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 100.47 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9640 | Euro/year due to osteoporosis-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 100.47 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers - sludge 1 | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9840 | Euro/year due to renal-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 53.86 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9640 | Euro/year due to osteoporosis-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 53.86 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers - sludge 1 | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9840 | Euro/year due to renal-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 30.86 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9640 | Euro/year due to osteoporosis-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 30.86 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers - sludge 1 | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9840 | Euro/year due to renal-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 73.73 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9640 | Euro/year due to osteoporosis-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 73.73 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers - sludge 1 | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9840 | Euro/year due to renal-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 0.58 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 30 | LV | M. Pizzol; J. C. R. Smart; M. Thomsen | External costs of cadmium emissions to soil: A drawback of phosphorus fertilizers | https://doi.org/10.1016/j.jclepro.2013.12.080 | 2014 | Peer-reviewed paper | Not applicable | Livestock production systems | Not applicable | Product | Phosphorus fertilizers | Denmark | Environmental | Renal ill health and osteoporosis due to cadmium exposure | Natural capital | Value of Life Year (VOLY) | Not specified | Own method developed | Own model developed | Damage costs | Desiagues et al. (2011) | 9640 | Euro/year due to osteoporosis-related morbidity | Denmark | 2011 | Based on paper Desaigues et al. (2011) | Sensitivity analysis applied for discount rates and dose response fuctions | Data from peer reviewed literature | 0.58 | Euro/year/km | Simplifications used for modelling impact of fertilizer use (e.g. all fertilizer products provide an equivalent service) | |||
| 31 | LV | H. Saxe; L. Hamelin; T. Hinrichsen; H. Wenzel | Production of pig feed under future atmospheric CO2 concentrations: Changes in crop content and chemical composition, land use, environmental impact, and socio-economic consequences | https://doi.org/10.3390/su10093184 | 2018 | Peer-reviewed paper | Not applicable | Pig farming | Pigs | Product | Pig feed | Denmark | Environmental | Global warming potential | Human and natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | Consequential Life cycle Assessment | Ecoinvent | Damage costs | Weidema (2008) | 0.083 | EUR/kg CO2 eq. | Not specified | Different studies used to calculate monetization factors | Not specified | Not applied | Data from peer reviewed literature | 50.89 | Euro/ton pig feed | Data limitations, changes in manure composition resulsting from change in feed not taken into account. High uncertainty in estimation of environenmental consequences by land-use changes. | |||
| 31 | LV | H. Saxe; L. Hamelin; T. Hinrichsen; H. Wenzel | Production of pig feed under future atmospheric CO2 concentrations: Changes in crop content and chemical composition, land use, environmental impact, and socio-economic consequences | https://doi.org/10.3390/su10093184 | 2018 | Peer-reviewed paper | Not applicable | Pig farming | Pigs | Product | Pig feed | Denmark | Environmental | Particulate matter formation | Human capital | kg PM2.5 eq | Not specified | Consequential Life cycle Assessment | Ecoinvent | Damage costs | Weidema (2008) | 68 | EUR/kg PM2.5 eq. | Not specified | Different studies used to calculate monetization factors | Not specified | Not applied | Data from peer reviewed literature | 26.27 | Euro/ton pig feed | Data limitations, changes in manure composition resulsting from change in feed not taken into account. High uncertainty in estimation of environenmental consequences by land-use changes. | |||
| 31 | LV | H. Saxe; L. Hamelin; T. Hinrichsen; H. Wenzel | Production of pig feed under future atmospheric CO2 concentrations: Changes in crop content and chemical composition, land use, environmental impact, and socio-economic consequences | https://doi.org/10.3390/su10093184 | 2018 | Peer-reviewed paper | Not applicable | Pig farming | Pigs | Product | Pig feed | Denmark | Environmental | Non carciogenic human toxicity | Human capital | Kg C2H3CI- eq | Not specified | Consequential Life cycle Assessment | Ecoinvent | Damage costs | Weidema (2008) | 0.27 | EUR/kg C2H3CI-eq. | Not specified | Different studies used to calculate monetization factors | Not specified | Not applied | Data from peer reviewed literature | 12.42 | Euro/ton pig feed | Data limitations, changes in manure composition resulsting from change in feed not taken into account. High uncertainty in estimation of environenmental consequences by land-use changes. | |||
| 31 | LV | H. Saxe; L. Hamelin; T. Hinrichsen; H. Wenzel | Production of pig feed under future atmospheric CO2 concentrations: Changes in crop content and chemical composition, land use, environmental impact, and socio-economic consequences | https://doi.org/10.3390/su10093184 | 2018 | Peer-reviewed paper | Not applicable | Pig farming | Pigs | Product | Pig feed | Denmark | Environmental | Land use | Natural capital | m2a | Not specified | Consequential Life cycle Assessment | Ecoinvent | Damage costs | Weidema (2008) | 0.12 | EUR/m2 arable land | Not specified | Different studies used to calculate monetization factors | Not specified | Not applied | Data from peer reviewed literature | 138.6 | Euro/ton pig feed | Data limitations, changes in manure composition resulsting from change in feed not taken into account. High uncertainty in estimation of environenmental consequences by land-use changes. | |||
| 31 | LV | H. Saxe; L. Hamelin; T. Hinrichsen; H. Wenzel | Production of pig feed under future atmospheric CO2 concentrations: Changes in crop content and chemical composition, land use, environmental impact, and socio-economic consequences | https://doi.org/10.3390/su10093184 | 2018 | Peer-reviewed paper | Not applicable | Pig farming | Pigs | Product | Pig feed | Denmark | Environmental | Total | Human and natural capital | Not applicable | Not applicable | Consequential Life cycle Assessment | Ecoinvent | Damage costs | Weidema (2008) | not applicable | Not applicable | Not specified | Different studies used to calculate monetization factors | Not specified | Not applied | Data from peer reviewed literature | 236.05 | Euro/ton pig feed | Data limitations, changes in manure composition resulsting from change in feed not taken into account. High uncertainty in estimation of environenmental consequences by land-use changes. | |||
| 32 | LV | P. J. C. Wettemann; U. Latacz-Lohmann | An efficiency-based concept to assess potential cost and greenhouse gas savings on German dairy farms | https://doi.org/10.1016/j.agsy.2016.11.010 | 2017 | Peer-reviewed paper | Cradle to grave | Dairy farming | Dairy cattle | Farm | Not applicable | Northern Germany (Germany) | Environmental | Global warming potential | Natural capital | GHG emissions (CO2 eq.) | CH4, N2O, CO2 | Data Envelopment analysis | Abatement costs | Own calculations | Own calculations | Not applicable | 216 farms in Northern Germany | 2009/2010 | 216 farms in Northern Germany | Abatement costs estimated for all farms in sample | Data from national authorities and peer reviewed literature | 48,14 until 381,94 (average 164,97) | EUR/ton CO2 eq. | Limitation is that results are specific to dariy farming systems and resource settings of Northern Germany | ||||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2009-2014 (average) | 498 observations (6 years, 2009-2014) from 83 dairy farms in Northern Ireland | Variaton analyses (percentiles/standard variation) | Data from national authorities | 5.26 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2009-2014 (average) | 498 observations (6 years, 2009-2014) from 83 dairy farms in Northern Ireland | Variaton analyses (percentiles/standard variation) | Data from national authorities | 10.17 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2005-2014 (average) | 1120 observations (10 years, 2005-2014) from 112 dairy farms in Republic of Ireland | Variaton analyses (percentiles/standard variation) | Data from national authorities | 4.02 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2005-2014 (average) | 1120 observations (10 years, 2005-2014) from 112 dairy farms in Republic of Ireland | Variaton analyses (percentiles/standard variation) | Data from national authorities | 5.37 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2009 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 3.12 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2010 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 4.71 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2011 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 5.81 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2012 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 4.52 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2013 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 6.34 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2014 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 7.06 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2009 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 4.94 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2010 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 8.54 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2011 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 11.22 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2012 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 9.34 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2013 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 11.453 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Isle of Ireland (Northern Ireland) | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2014 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 15.49 | British pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2005 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 3.31 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2006 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 3.14 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2007 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 4.45 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2008 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 4.08 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2009 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 2.96 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2010 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 3.92 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2011 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 5.26 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2012 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 4.13 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2013 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 4.29 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2014 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 4.67 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2005 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 3.92 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2006 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 3.92 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2007 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 5.54 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2008 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 5.48 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2009 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 3.45 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2010 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 4.54 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2011 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 6.48 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2012 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 6.16 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2013 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 7.63 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 33 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; T. Donnellan; M. Patton | Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach | https://dx.doi.org/10.1007/s10640-019-00367-2 | 2019 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | non-milk outputs | Ireland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | EUR/kg | Republic of Ireland | 2014 | 112 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 6.61 | Euro/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 34 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; M. Patton; T. Donnellan | Modelling environmental technical efficiency and phosphorus pollution abatement cost in dairy farms | https://doi.org/10.1016/j.scitotenv.2020.136690 | 2020 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Eutrophication | Natural capital | P surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2009 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 5.26 | Britisch Pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 34 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; M. Patton; T. Donnellan | Modelling environmental technical efficiency and phosphorus pollution abatement cost in dairy farms | https://doi.org/10.1016/j.scitotenv.2020.136690 | 2020 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Eutrophication | Natural capital | P surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2010 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 9.47 | Britisch Pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 34 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; M. Patton; T. Donnellan | Modelling environmental technical efficiency and phosphorus pollution abatement cost in dairy farms | https://doi.org/10.1016/j.scitotenv.2020.136690 | 2020 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Eutrophication | Natural capital | P surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2011 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 10.85 | Britisch Pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 34 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; M. Patton; T. Donnellan | Modelling environmental technical efficiency and phosphorus pollution abatement cost in dairy farms | https://doi.org/10.1016/j.scitotenv.2020.136690 | 2020 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Eutrophication | Natural capital | P surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2012 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 13.6 | Britisch Pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 34 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; M. Patton; T. Donnellan | Modelling environmental technical efficiency and phosphorus pollution abatement cost in dairy farms | https://doi.org/10.1016/j.scitotenv.2020.136690 | 2020 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Eutrophication | Natural capital | P surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2013 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 17.28 | Britisch Pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 34 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; M. Patton; T. Donnellan | Modelling environmental technical efficiency and phosphorus pollution abatement cost in dairy farms | https://doi.org/10.1016/j.scitotenv.2020.136690 | 2020 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Eutrophication | Natural capital | P surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2014 | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 15.93 | Britisch Pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 34 | KOLT | A. H. Adenuga; J. Davis; G. Hutchinson; M. Patton; T. Donnellan | Modelling environmental technical efficiency and phosphorus pollution abatement cost in dairy farms | https://doi.org/10.1016/j.scitotenv.2020.136690 | 2020 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Region | Milk | Isle of Ireland (Northern Ireland) | Environmental | Eutrophication | Natural capital | P surplus on farm level | Not applicable | Distance function approach | MLE extimates | Shadow price | Own calculations | Own calculations | British Pound/kg | Northern Ireland | 2009-2014 (average) | 83 dairy farms | Variaton analyses (percentiles/standard variation) | Data from national authorities | 12.29 | Britisch Pound/kg | Relatively high degree of variation in spectrum of shadow prices (high SD) | |||
| 35 | KOLT | J. Albiac; T. Kahil; E. Notivol; E. Calvo | Agriculture and climate change: Potential for mitigation in Spain | https://dx.doi.org/10.1016/j.scitotenv.2017.03.110 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock farming systems | not specified | Country | Not applicable | Spain | Environmental | Climate Change | Human and natural capital | CO2 eq. | Not applicable | Cost-benefit analysis | Own model | Marginal abatement costs (MACC) | OECD (Smith and Braathen, 2015) | 40 | Euro per ton CO2-eq. | OECD countries | various | not specified | Sensitivity analysis with 20 and 80 Euro per t CO2-eq | Data from reviewd papers by authors | 200 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | Manure treatment plants | Other livestock measures in paper: increase manure share in arable farms --> measures not on livestock farms | |
| 36 | KOLT | A. Sintori; I. Tzouramani; A. Liontakis | Greenhouse gas emissions in dairy goat farming systems: Abatement potential and cost | https://dx.doi.org/10.3390/ani9110945 | 2019 | Peer-reviewed paper | Farm to farm-gate | Extensive goat farming | Goats | Farm | Milk (goat milk) | Region of Thessaly (Greece) | Environmental | Climate Change | Human and natural capital | CO2 eq. | Not applicable | Optimization model (LP) | Own model | Abatement costs | Relevant literature (not sure if peer reviewd) | Own calculations | Euro per ton CO2-eq. | Greece | various | 115 extensive goat farms in Greece | not applied | not specified | 11 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | 5% GHG emission reduction (95% of original level) | Only limited number of measures inlcuded (reducing herd size), other measures may be mor costeffective | |
| 36 | KOLT | A. Sintori; I. Tzouramani; A. Liontakis | Greenhouse gas emissions in dairy goat farming systems: Abatement potential and cost | https://dx.doi.org/10.3390/ani9110945 | 2019 | Peer-reviewed paper | Farm to farm-gate | Extensive goat farming | Goats | Farm | Milk (goat milk) | Region of Thessaly (Greece) | Environmental | Climate Change | Human and natural capital | CO2 eq. | Not applicable | Optimization model (LP) | Own model | Abatement costs | Relevant literature (not sure if peer reviewd) | Own calculations | Euro per ton CO2-eq. | Greece | various | 115 extensive goat farms in Greece | not applied | not specified | 35 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | 20% GHG emission reduction (80% of original level) | Only limited number of measures inlcuded (reducing herd size), other measures may be mor costeffective | |
| 36 | KOLT | A. Sintori; I. Tzouramani; A. Liontakis | Greenhouse gas emissions in dairy goat farming systems: Abatement potential and cost | https://dx.doi.org/10.3390/ani9110945 | 2019 | Peer-reviewed paper | Farm to farm-gate | Extensive goat farming | Goats | Farm | Milk (goat milk) | Region of Thessaly (Greece) | Environmental | Climate Change | Human and natural capital | CO2 eq. | Not applicable | Optimization model (LP) | Own model | Abatement costs | Relevant literature (not sure if peer reviewd) | Own calculations | Euro per ton CO2-eq. | Greece | various | 115 extensive goat farms in Greece | not applied | not specified | 76 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | 40% GHG emission reduction (60% of original level) | Only limited number of measures inlcuded (reducing herd size), other measures may be mor costeffective | |
| 36 | KOLT | A. Sintori; I. Tzouramani; A. Liontakis | Greenhouse gas emissions in dairy goat farming systems: Abatement potential and cost | https://dx.doi.org/10.3390/ani9110945 | 2019 | Peer-reviewed paper | Farm to farm-gate | Semi-intensive goat farming | Goats | Farm | Milk (goat milk) | Region of Epirus (Greece) | Environmental | Climate Change | Human and natural capital | CO2 eq. | Not applicable | Optimization model (LP) | Own model | Abatement costs | Relevant literature (not sure if peer reviewd) | Own calculations | Euro per ton CO2-eq. | Greece | various | 115 extensive goat farms in Greece | not applied | not specified | 50 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | up to 30% GHG emission reduction (70% of original level) | Only limited number of measures inlcuded (reducing herd size), other measures may be mor costeffective | |
| 36 | KOLT | A. Sintori; I. Tzouramani; A. Liontakis | Greenhouse gas emissions in dairy goat farming systems: Abatement potential and cost | https://dx.doi.org/10.3390/ani9110945 | 2019 | Peer-reviewed paper | Farm to farm-gate | Semi-intensive goat farming | Goats | Farm | Milk (goat milk) | Region of Epirus (Greece) | Environmental | Climate Change | Human and natural capital | CO2 eq. | Not applicable | Optimization model (LP) | Own model | Abatement costs | Relevant literature (not sure if peer reviewd) | Own calculations | Euro per ton CO2-eq. | Greece | various | 115 extensive goat farms in Greece | not applied | not specified | 220 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | 40% GHG emission reduction (60% of original level) | Only limited number of measures inlcuded (reducing herd size), other measures may be mor costeffective | |
| 36 | KOLT | A. Sintori; I. Tzouramani; A. Liontakis | Greenhouse gas emissions in dairy goat farming systems: Abatement potential and cost | https://dx.doi.org/10.3390/ani9110945 | 2019 | Peer-reviewed paper | Farm to farm-gate | Intensive goat farming | Goats | Farm | Milk (goat milk) | Region of Thessaly (Greece) | Environmental | Climate Change | Human and natural capital | CO2 eq. | Not applicable | Optimization model (LP) | Own model | Abatement costs | Relevant literature (not sure if peer reviewd) | Own calculations | Euro per ton CO2-eq. | Greece | various | 115 extensive goat farms in Greece | not applied | not specified | 250 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | 10% GHG emission reduction (90% of original level) | Only limited number of measures inlcuded (reducing herd size), other measures may be mor costeffective | |
| 37 | KOLT | A. Schmidt; G. Mack; S. Mann; J. Six | Reduction of nitrogen pollution in agriculture through nitrogen surplus quotas: an analysis of individual marginal abatement cost and different quota allocation schemes using an agent-based model | https://dx.doi.org/10.1080/09640568.2020.1823344 | 2021 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Not specified | Farm | Farm output | Switzerland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Agent-based agricultural model | SWISSland | MACC | Own calculations | Own calculations | CHF/kg | Switzerland | 2015 | 3400 Swiss FADN farms | Sensitivity analyses in Schmidt et al 2017 | Data from national authorities | 0.088 | CHF per kg N | up to 10% reduction of N surplus | This study is not very explicit in reporting abatement costs | ||
| 37 | KOLT | A. Schmidt; G. Mack; S. Mann; J. Six | Reduction of nitrogen pollution in agriculture through nitrogen surplus quotas: an analysis of individual marginal abatement cost and different quota allocation schemes using an agent-based model | https://dx.doi.org/10.1080/09640568.2020.1823344 | 2021 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Not specified | Farm | Farm output | Switzerland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Agent-based agricultural model | SWISSland | MACC | Own calculations | Own calculations | CHF/kg | Switzerland | 2015 | 3400 Swiss FADN farms | Sensitivity analyses in Schmidt et al 2017 | Data from national authorities | 6 | CHF per kg N | at 20% reduction of N surplus, cummulative abatement costs | |||
| 37 | KOLT | A. Schmidt; G. Mack; S. Mann; J. Six | Reduction of nitrogen pollution in agriculture through nitrogen surplus quotas: an analysis of individual marginal abatement cost and different quota allocation schemes using an agent-based model | https://dx.doi.org/10.1080/09640568.2020.1823344 | 2021 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | Not specified | Farm | Farm output | Switzerland | Environmental | Nitrogen emissions | Natural capital | N surplus on farm level | Not applicable | Agent-based agricultural model | SWISSland | MACC | Own calculations | Own calculations | CHF/kg | Switzerland | 2015 | 3400 Swiss FADN farms | Sensitivity analyses in Schmidt et al 2017 | Data from national authorities | 36 | CHF per kg N | at 50% reduction of N surplus, cummulative abatement costs | |||
| 38 | KOLT | S. Baccour; J. Albiac; T. Kahil | Cost-Effective Mitigation of Greenhouse Gas Emissions in the Agriculture of Aragon, Spain | https://dx.doi.org/10.3390/ijerph18031084 | 2021 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Cattle (not specified dairy of beef) | Region | Not applicable | Aragon (Spain) | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | Own model | MACC | European Environmental Agency (emission factors) | 40 | Euro per ton CO2-eq. | OECD countries | 2014 | Agricultural census data from the Aragon region | not applied | Data from national authorities | Around 600 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Fat additives to feed (cattle) | In this study the measures for livestock farming are far more costly than the measures for crop farming. Livestock measure are hence not to be chosen in the mitigation policy scenario's | |
| 38 | KOLT | S. Baccour; J. Albiac; T. Kahil | Cost-Effective Mitigation of Greenhouse Gas Emissions in the Agriculture of Aragon, Spain | https://dx.doi.org/10.3390/ijerph18031084 | 2021 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Region | Not applicable | Aragon (Spain) | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | Own model | MACC | European Environmental Agency (emission factors) | 40 | Euro per ton CO2-eq. | OECD countries | 2014 | Agricultural census data from the Aragon region | not applied | Data from national authorities | 3000-3200 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Fat additives to feed (pigs) | In this study the measures for livestock farming are far more costly than the measures for crop farming. Livestock measure are hence not to be chosen in the mitigation policy scenario's | |
| 38 | KOLT | S. Baccour; J. Albiac; T. Kahil | Cost-Effective Mitigation of Greenhouse Gas Emissions in the Agriculture of Aragon, Spain | https://dx.doi.org/10.3390/ijerph18031084 | 2021 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Aragon (Spain) | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | Own model | MACC | European Environmental Agency (emission factors) | 40 | Euro per ton CO2-eq. | OECD countries | 2014 | Agricultural census data from the Aragon region | not applied | Data from national authorities | 160-200 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Manure treatment | In this study the measures for livestock farming are far more costly than the measures for crop farming. Livestock measure are hence not to be chosen in the mitigation policy scenario's | |
| 38 | KOLT | S. Baccour; J. Albiac; T. Kahil | Cost-Effective Mitigation of Greenhouse Gas Emissions in the Agriculture of Aragon, Spain | https://dx.doi.org/10.3390/ijerph18031084 | 2021 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Region | Not applicable | Aragon (Spain) | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | Own model | MACC | European Environmental Agency (emission factors) | 40 | Euro per ton CO2-eq. | OECD countries | 2014 | Agricultural census data from the Aragon region | not applied | Data from national authorities | +/-0 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Protein diet | In this study the measures for livestock farming are far more costly than the measures for crop farming. Livestock measure are hence not to be chosen in the mitigation policy scenario's | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy cattle | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 931 Italian FADN dairy farms | Sensitivity analysis on carbon emisson | FADN data | 11.6 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 25 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy cattle | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 931 Italian FADN dairy farms | Sensitivity analysis on carbon emisson | FADN data | 22.5 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 50 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy cattle | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 931 Italian FADN dairy farms | Sensitivity analysis on carbon emisson | FADN data | 45.3 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 100 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Beef cattle | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 466 Italian FADN Beef cattle farms | Sensitivity analysis on carbon emisson | FADN data | 11.4 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 25 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Beef cattle | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 466 Italian FADN Beef cattle farms | Sensitivity analysis on carbon emisson | FADN data | 23.8 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 50 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Beef cattle | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 466 Italian FADN Beef cattle farms | Sensitivity analysis on carbon emisson | FADN data | 44 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 100 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Mixed (dairy and beef) | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 466 Italian FADN Mixed cattle farms | Sensitivity analysis on carbon emisson | FADN data | 11.5 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 25 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Mixed (dairy and beef) | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 466 Italian FADN Mixed cattle farms | Sensitivity analysis on carbon emisson | FADN data | 22.9 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 50 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Mixed (dairy and beef) | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 466 Italian FADN Mixed cattle farms | Sensitivity analysis on carbon emisson | FADN data | 47 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 100 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 1324 cattle farms, size <150 livestock unit (LSU) | Sensitivity analysis on carbon emisson | FADN data | 11 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 25 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 1324 cattle farms, size <150 livestock unit (LSU) | Sensitivity analysis on carbon emisson | FADN data | 21.7 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 50 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 1324 cattle farms, size <150 livestock unit (LSU) | Sensitivity analysis on carbon emisson | FADN data | 44.3 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 100 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 160 cattle farms, size 150-350 livestock unit (LSU) | Sensitivity analysis on carbon emisson | FADN data | 11.6 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 25 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 160 cattle farms, size 150-350 livestock unit (LSU) | Sensitivity analysis on carbon emisson | FADN data | 23.1 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 50 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 160 cattle farms, size 150-350 livestock unit (LSU) | Sensitivity analysis on carbon emisson | FADN data | 44.6 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 100 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 66 cattle farms, size >350 livestock unit (LSU) | Sensitivity analysis on carbon emisson | FADN data | 12.3 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 25 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 66 cattle farms, size >350 livestock unit (LSU) | Sensitivity analysis on carbon emisson | FADN data | 24.2 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 50 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 66 cattle farms, size >350 livestock unit (LSU) | Sensitivity analysis on carbon emisson | FADN data | 46.7 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 100 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 1550 cattle farms, all sizes | Sensitivity analysis on carbon emisson | FADN data | 11.5 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 25 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 1550 cattle farms, all sizes | Sensitivity analysis on carbon emisson | FADN data | 22.8 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 50 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 39 | KOLT | S. Coderoni; D. Dell'Unto; R. Cortignani | Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools | https://dx.doi.org/10.1016/j.jenvman.2023.119880 | 2024 | Peer-reviewed paper | Farm to farm-gate | Cattle farming | Dairy, beef and mixed | Farm | Not applicable | Italy | Environmental | Global warming | Natural and human capital | CO2 eq. | Not applicable | IPCC method | AGRITALIM | MACC | Own calculations | own calculations | Euro per ton CO2-eq. | Italy | 2020 | 1550 cattle farms, all sizes | Sensitivity analysis on carbon emisson | FADN data | 45.2 | Euro/ton CO2 eq. | Euro/ton CO2 eq. | Tax scenario: 100 Euro/ton CO2 eq | The study only considers two mitigation measures on cattle farms: LSU reduction and feed additives. More possiblities should be considered | |
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per farm | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 528.68 | Euro/farm | at 16% N reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per farm | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 3751.1 | Euro/farm | at 32% N reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per farm | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 658.31 | Euro/farm | at 16% N reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per farm | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 3421.8 | Euro/farm | at 32% N reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 10.35 | Euro/ha | at 16% N reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 73.41 | Euro/ha | at 32% N reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 12.88 | Euro/ha | at 16% N reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 67.96 | Euro/ha | at 32% N reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Milk?? | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 7 | Euro/kg milk ?? | at 16% N reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Milk?? | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 24.82 | Euro/kg milk ?? | at 32% N reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Milk?? | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 8.71 | Euro/kg milk ?? | at 16% N reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Milk?? | River Kalajoki Region (Finland) | Environmental | Nitrogen emissions | Natural capital | % N reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 22.65 | Euro/kg milk ?? | at 32% N reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per farm | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 528.68 | Euro/farm | at 16% P reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per farm | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 3751.1 | Euro/farm | at 32% P reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per farm | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 658.31 | Euro/farm | at 16% P reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per farm | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 3421.8 | Euro/farm | at 32% P reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 10.35 | Euro/ha | at 16% P reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 73.41 | Euro/ha | at 32% P reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 12.88 | Euro/ha | at 16% P reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Not applicable | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 67.96 | Euro/ha | at 32% P reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Milk?? | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 7 | Euro/kg milk ?? | at 16% P reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Milk?? | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs simulation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 24.82 | Euro/kg milk ?? | at 32% P reduction (simulation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Milk?? | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 8.71 | Euro/kg milk ?? | at 16% P reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 40 | KOLT | J. A. Helin | Reducing nutrient loads from dairy farms: A bioeconomic model with endogenous feeding and land use | https://dx.doi.org/10.1111/agec.12039 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cows and heifers | Farm | Milk?? | River Kalajoki Region (Finland) | Environmental | Phosphorus emission | Natural capital | % P reduction | Not applicable | Simulatiemodel | VEPS | Abatement costs OLS estimation | Own calculations | own calculations | Euro per ha | Finland | 2003-2005 (different years) | 109 Dairy farms | Sensitivity analysis on prices (fertilizer, fodder, milk) | Data from national authority? Finland | 22.65 | Euro/kg milk ?? | at 32% P reduction (OLS estimation) | Assumption on input and output prices have large effect on abatement costs | ||
| 41 | KOLT | R. Huber; M. Tarruella; D. Schäfer; R. Finger | Marginal climate change abatement costs in Swiss dairy production considering farm heterogeneity and interaction effects | https://dx.doi.org/10.1016/j.agsy.2023.103639 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Mixed dairy farming | Dairy cattle | Farm | not applicable | Weinland region (Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | Own calculations | own calculations | CHF per ton CO2 eq. | Switzerland | 2019 | 66 mixed dairy farms | Not applied | Agricultural census data | -36 | CHF/ton CO2 eq. | More lactations (stand alone measure) | Only take 4 measures into account; no sequestration measures (afforestration) included | ||
| 41 | KOLT | R. Huber; M. Tarruella; D. Schäfer; R. Finger | Marginal climate change abatement costs in Swiss dairy production considering farm heterogeneity and interaction effects | https://dx.doi.org/10.1016/j.agsy.2023.103639 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Mixed dairy farming | Dairy cattle | Farm | not applicable | Weinland region (Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | Own calculations | own calculations | CHF per ton CO2 eq. | Switzerland | 2019 | 66 mixed dairy farms | Not applied | Agricultural census data | 166 | CHF/ton CO2 eq. | Trail hoses (stand alone measure) | Only take 4 measures into account; no sequestration measures (afforestration) included | ||
| 41 | KOLT | R. Huber; M. Tarruella; D. Schäfer; R. Finger | Marginal climate change abatement costs in Swiss dairy production considering farm heterogeneity and interaction effects | https://dx.doi.org/10.1016/j.agsy.2023.103639 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Mixed dairy farming | Dairy cattle | Farm | not applicable | Weinland region (Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | Own calculations | own calculations | CHF per ton CO2 eq. | Switzerland | 2019 | 66 mixed dairy farms | Not applied | Agricultural census data | 329 | CHF/ton CO2 eq. | Feed additives (stand alone measures) | Only take 4 measures into account; no sequestration measures (afforestration) included | ||
| 41 | KOLT | R. Huber; M. Tarruella; D. Schäfer; R. Finger | Marginal climate change abatement costs in Swiss dairy production considering farm heterogeneity and interaction effects | https://dx.doi.org/10.1016/j.agsy.2023.103639 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Mixed dairy farming | Dairy cattle | Farm | not applicable | Weinland region (Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | Own calculations | own calculations | CHF per ton CO2 eq. | Switzerland | 2019 | 66 mixed dairy farms | Not applied | Agricultural census data | 676 | CHF/ton CO2 eq. | Replace feed concentrate (stand alone measure) | Only take 4 measures into account; no sequestration measures (afforestration) included | ||
| 41 | KOLT | R. Huber; M. Tarruella; D. Schäfer; R. Finger | Marginal climate change abatement costs in Swiss dairy production considering farm heterogeneity and interaction effects | https://dx.doi.org/10.1016/j.agsy.2023.103639 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Mixed dairy farming | Dairy cattle | Farm | not applicable | Weinland region (Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | Own calculations | own calculations | CHF per ton CO2 eq. | Switzerland | 2019 | 66 mixed dairy farms | Not applied | Agricultural census data | -36 | CHF/ton CO2 eq. | More lactations (with interaction) | Only take 4 measures into account; no sequestration measures (afforestration) included | ||
| 41 | KOLT | R. Huber; M. Tarruella; D. Schäfer; R. Finger | Marginal climate change abatement costs in Swiss dairy production considering farm heterogeneity and interaction effects | https://dx.doi.org/10.1016/j.agsy.2023.103639 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Mixed dairy farming | Dairy cattle | Farm | not applicable | Weinland region (Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | Own calculations | own calculations | CHF per ton CO2 eq. | Switzerland | 2019 | 66 mixed dairy farms | Not applied | Agricultural census data | 170 | CHF/ton CO2 eq. | Trail hoses (with interaction) | Only take 4 measures into account; no sequestration measures (afforestration) included | ||
| 41 | KOLT | R. Huber; M. Tarruella; D. Schäfer; R. Finger | Marginal climate change abatement costs in Swiss dairy production considering farm heterogeneity and interaction effects | https://dx.doi.org/10.1016/j.agsy.2023.103639 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Mixed dairy farming | Dairy cattle | Farm | not applicable | Weinland region (Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | Own calculations | own calculations | CHF per ton CO2 eq. | Switzerland | 2019 | 66 mixed dairy farms | Not applied | Agricultural census data | 369 | CHF/ton CO2 eq. | Feed additives (with interaction) | Only take 4 measures into account; no sequestration measures (afforestration) included | ||
| 41 | KOLT | R. Huber; M. Tarruella; D. Schäfer; R. Finger | Marginal climate change abatement costs in Swiss dairy production considering farm heterogeneity and interaction effects | https://dx.doi.org/10.1016/j.agsy.2023.103639 | 2023 | Peer-reviewed paper | Cradle to farm-gate | Mixed dairy farming | Dairy cattle | Farm | not applicable | Weinland region (Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | Own calculations | own calculations | CHF per ton CO2 eq. | Switzerland | 2019 | 66 mixed dairy farms | Not applied | Agricultural census data | 506 | CHF/ton CO2 eq. | Replace feed concentrate (with interaction) | Only take 4 measures into account; no sequestration measures (afforestration) included | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Lowland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | -134 | British Pound/ton CO2 eq. | measure 5: Lambing as yearling, lowland farm | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Upland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | -76 | British Pound/ton CO2 eq. | measure 5: Lambing as yearling, upland farm | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Lowland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | -158 | British Pound/ton CO2 eq. | measure 3: Improving ewe nutrition to increase lamb survival, lowland | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Upland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | -139 | British Pound/ton CO2 eq. | measure 3: Improving ewe nutrition to increase lamb survival, upland | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Hill | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | -59 | British Pound/ton CO2 eq. | measure 3: Improving ewe nutrition to increase lamb survival, hill | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Lowland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | ca. 10 | British Pound/ton CO2 eq. | measure 1: Inclusion of legumes, lowland | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Upland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | not applied | Case studies, data provided by farmers | ca. 20 | British Pound/ton CO2 eq. | measure 1: Inclusion of legumes, upland | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Hill | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | ca. -20 | British Pound/ton CO2 eq. | measure 1: Inclusion of legumes, hill | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Lowland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | ca. 920 | British Pound/ton CO2 eq. | measure 2: Increasing lamb growth rate, lowland | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Upland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | ca. 550 | British Pound/ton CO2 eq. | measure 2: Increasing lamb growth rate, upland | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Hill | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | ca. 1050 | British Pound/ton CO2 eq. | measure 2: Increasing lamb growth rate, hill | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Lowland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | ca. 600 | British Pound/ton CO2 eq. | measure 4: reducing fertlizer use, lowland | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Upland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | ca. 120 | British Pound/ton CO2 eq. | measure 4: reducing fertlizer use, upland | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Hill | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | ca. -210 | British Pound/ton CO2 eq. | measure 4: reducing fertlizer use, hill | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Lowland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | -136 | British Pound/ton CO2 eq. | measure 6: pasture plants bred to minimise dietary N losses, lowland | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Upland | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | 30 | British Pound/ton CO2 eq. | measure 6: pasture plants bred to minimise dietary N losses, upland | Results on cost-effectiveness depend heavily on assumption | ||
| 42 | KOLT | A. K. Jones; D. L. Jones; P. Cross | Developing farm-specific marginal abatement cost curves: Cost-effective greenhouse gas mitigation opportunities in sheep farming systems | https://doi.org/10.1016/j.landusepol.2015.08.006 | 2015 | Peer-reviewed paper | Cradle to farm-gate | Sheep farming Hill | Sheep | Farm | not applicable | Great Britain | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC Tier 1 | Whole-farm cost function | MACC | Own calculations | Own calculations | Pound per ton CO2 eq. | Great Britain | 2010/2011 | 60 sheep farms in England and Wales | Not applied | Case studies, data provided by farmers | 259 | British Pound/ton CO2 eq. | measure 6: pasture plants bred to minimise dietary N losses, hill | Results on cost-effectiveness depend heavily on assumption | ||
| 43 | KOLT | C. Kreft; R. Finger; R. Huber | Action- versus results-based policy designs for agricultural climate change mitigation | https://dx.doi.org/10.1002/aepp.13376 | 2024 | Peer-reviewed paper | Cradle to farm-gate | Cattle farming | Dairy and beef cattle | Farm | not applicable | Weinland regio (Canton Zurich, Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | CHF/ton CO2 eq. | Switzerland | 2018 | 49 farms (24 dairy and 25 beef cattle (of which 15 suckler cows and 10 bull-fattening) | 10th and 90th percentile given (boxplot) | Agricultural census data | 1467 | CHF/ton CO2 eq. | measure a: Replacing feed concentrate with on farm produced legumes | |||
| 43 | KOLT | C. Kreft; R. Finger; R. Huber | Action- versus results-based policy designs for agricultural climate change mitigation | https://dx.doi.org/10.1002/aepp.13376 | 2024 | Peer-reviewed paper | Cradle to farm-gate | Cattle farming | Dairy and beef cattle | Farm | not applicable | Weinland regio (Canton Zurich, Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | CHF/ton CO2 eq. | Switzerland | 2018 | 49 farms (24 dairy and 25 beef cattle (of which 15 suckler cows and 10 bull-fattening) | 10th and 90th percentile given (boxplot) | Agricultural census data | -92 | CHF/ton CO2 eq. | measure b: Increasing the number of lactation per dairy cow | |||
| 43 | KOLT | C. Kreft; R. Finger; R. Huber | Action- versus results-based policy designs for agricultural climate change mitigation | https://dx.doi.org/10.1002/aepp.13376 | 2024 | Peer-reviewed paper | Cradle to farm-gate | Cattle farming | Dairy and beef cattle | Farm | not applicable | Weinland regio (Canton Zurich, Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | CHF/ton CO2 eq. | Switzerland | 2018 | 49 farms (24 dairy and 25 beef cattle (of which 15 suckler cows and 10 bull-fattening) | 10th and 90th percentile given (boxplot) | Agricultural census data | 116 | CHF/ton CO2 eq. | measure c: close to ground manure application with drag hose | |||
| 43 | KOLT | C. Kreft; R. Finger; R. Huber | Action- versus results-based policy designs for agricultural climate change mitigation | https://dx.doi.org/10.1002/aepp.13376 | 2024 | Peer-reviewed paper | Cradle to farm-gate | Cattle farming | Dairy and beef cattle | Farm | not applicable | Weinland regio (Canton Zurich, Switzerland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | Not applicable | IPCC (2006) | FarmDyn (optimization) | MACC | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | CHF/ton CO2 eq. | Switzerland | 2018 | 49 farms (24 dairy and 25 beef cattle (of which 15 suckler cows and 10 bull-fattening) | 10th and 90th percentile given (boxplot) | Agricultural census data | 339 | CHF/ton CO2 eq. | measure d: feed additives (such as linseed) to reduce enteric CH4 emission | |||
| 43 | KOLT | C. Kreft; R. Finger; R. Huber | Action- versus results-based policy designs for agricultural climate change mitigation | https://dx.doi.org/10.1002/aepp.13376 | 2024 | Peer-reviewed paper | Cradle to farm-gate | Cattle farming | Dairy and beef cattle | Farm | not applicable | Weinland regio (Canton Zurich, Switzerland) | Environmental | Global Warming | Natural and human capital | 10% GHG emission reduction | Not applicable | IPCC (2006) | FARMIND | Total government spending, Action-based | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | Own calculations | CHF | Switzerland | 2018 | 49 farms (24 dairy and 25 beef cattle (of which 15 suckler cows and 10 bull-fattening) | 10th and 90th percentile given (boxplot) | Agricultural census data | 424782 | CHF | Total amount 4 measures, action-based, to achieve 10% reduction | |||
| 43 | KOLT | C. Kreft; R. Finger; R. Huber | Action- versus results-based policy designs for agricultural climate change mitigation | https://dx.doi.org/10.1002/aepp.13376 | 2024 | Peer-reviewed paper | Cradle to farm-gate | Cattle farming | Dairy and beef cattle | Farm | not applicable | Weinland regio (Canton Zurich, Switzerland) | Environmental | Global Warming | Natural and human capital | 10% GHG emission reduction | Not applicable | IPCC (2006) | FARMIND | Total government spending, Results-based | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | Own calculations | CHF | Switzerland | 2018 | 49 farms (24 dairy and 25 beef cattle (of which 15 suckler cows and 10 bull-fattening) | 10th and 90th percentile given (boxplot) | Agricultural census data | 536473 | CHF | Total amount 4 measures, results-based, to achieve 10% reduction | |||
| 43 | KOLT | C. Kreft; R. Finger; R. Huber | Action- versus results-based policy designs for agricultural climate change mitigation | https://dx.doi.org/10.1002/aepp.13376 | 2024 | Peer-reviewed paper | Cradle to farm-gate | Cattle farming | Dairy and beef cattle | Farm | not applicable | Weinland regio (Canton Zurich, Switzerland) | Environmental | Global Warming | Natural and human capital | 10% GHG emission reduction | Not applicable | IPCC (2006) | FARMIND | Total government spending, Action-based | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | Own calculations | CHF | Switzerland | 2018 | 49 farms (24 dairy and 25 beef cattle (of which 15 suckler cows and 10 bull-fattening) | 10th and 90th percentile given (boxplot) | Agricultural census data | 424782 | CHF | Total amount 4 measures, action-based, to achieve 10% reduction | |||
| 43 | KOLT | C. Kreft; R. Finger; R. Huber | Action- versus results-based policy designs for agricultural climate change mitigation | https://dx.doi.org/10.1002/aepp.13376 | 2024 | Peer-reviewed paper | Cradle to farm-gate | Cattle farming | Dairy and beef cattle | Farm | not applicable | Weinland regio (Canton Zurich, Switzerland) | Environmental | Global Warming | Natural and human capital | 10% GHG emission reduction | Not applicable | IPCC (2006) | FARMIND | Total government spending, Results-based | (Kreft, Huber, etal.,2021) (Kreft, Angst, etal.,2021) | Own calculations | CHF | Switzerland | 2018 | 49 farms (24 dairy and 25 beef cattle (of which 15 suckler cows and 10 bull-fattening) | 10th and 90th percentile given (boxplot) | Agricultural census data | 536473 | CHF | Total amount 4 measures, results-based, to achieve 10% reduction | |||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 31.4 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet arable area (taken out of agriculture), Large Dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 25 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 50% of UAA (taken out of agriculture), Large dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 23.1 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 100% of UAA (Taken out of agriculture), Large dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 92.1 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Converse arable land grass into medium-drained grassland, Large dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 23.6 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 50% of UAA converted into wet grassland, Large dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 22.8 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 100% of UAA converted into wet grassland, Large dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 56.5 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet arable area (taken out of agriculture), Small dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 10.6 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 50% of UAA (taken out of agriculture), Small dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 8.9 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 100% of UAA (Taken out of agriculture), Small dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 15.3 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Converse arable land grass into medium-drained grassland, Small dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 4.6 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 50% of UAA converted into wet grassland, Small dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 5.5 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 100% of UAA converted into wet grassland, Small dairy, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 7.9 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet arable area (taken out of agriculture), Mixed farms, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 5.3 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 50% of UAA (taken out of agriculture), Mixed farms, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 5.1 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 100% of UAA (Taken out of agriculture), Mixed farms, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 25.5 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Converse arable land grass into medium-drained grassland, Mixed farms, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 4.7 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 50% of UAA converted into wet grassland, Mixed farms, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Totaal farm GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 5 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 100% of UAA converted into wet grassland, Mixed farm, Total farm GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 29.9 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet arable area (taken out of agriculture), Large Dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 22.3 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 50% of UAA (taken out of agriculture), Large dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 22.2 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 100% of UAA (Taken out of agriculture), Large dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 161.9 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Converse arable land grass into medium-drained grassland, Large dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 22.9 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 50% of UAA converted into wet grassland, Large dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Large Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 20.5 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 100% of UAA converted into wet grassland, Large dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 25 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet arable area (taken out of agriculture), Small dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 9.5 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 50% of UAA (taken out of agriculture), Small dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 8.5 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 100% of UAA (Taken out of agriculture), Small dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 20.6 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Converse arable land grass into medium-drained grassland, Small dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 4.6 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 50% of UAA converted into wet grassland, Small dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Small Dairy farms | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 5.6 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 100% of UAA converted into wet grassland, Small dairy, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 8.6 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet arable area (taken out of agriculture), Mixed farms, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 5.7 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 50% of UAA (taken out of agriculture), Mixed farms, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 5.4 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Rewet 100% of UAA (Taken out of agriculture), Mixed farms, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 34 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Converse arable land grass into medium-drained grassland, Mixed farms, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 5 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 50% of UAA converted into wet grassland, Mixed farms, Peatland GHG | ||
| 44 | KOLT | T. Krimly; E. Angenendt; E. Bahrs; S. Dabbert | Global warming potential and abatement costs of different peatland management options: A case study for the Pre-alpine Hill and Moorland in Germany | https://dx.doi.org/10.1016/j.agsy.2016.02.009 | 2016 | Peer-reviewed paper | Cradle to farm-gate | Mixed-farm | Dairy cattle | Farm | not applicable | Pre-Alpine Hill and Moorland in Baden-Württemberg (Germany) | Environmental | Global Warming | Natural and human capital | GHG emissions (CO2 eq.) | Peatland GHG emission | (Drösler, 2012) | EFEM (Economic Farm Emission Model), Optimization | Abatement costs | (Drösler, 2012) | Own calculations | Euro per ton CO2 eq. | Germany | 2011 ? | 191 randomly selected farmers who cultivate peatland | Sensitivity analysis on the share of peatland | Survey data | 5.3 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Measure: Wet 100% of UAA converted into wet grassland, Mixed farm, Peatland GHG | ||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -21.16 | Euro per kg N abated | Measure: Optimised single-phase feeding in pigs, Mean value | Also take up min and max values?? | ||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -13.56 | Euro per kg N abated | Measure: Three-phase feeding in pigs, Mean value | |||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -22 | Euro per kg N abated | Measure: Improved forage quality, Mean value | |||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg NH3-N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg NH3-N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -22.58 | Euro per kg NH3-N abated | Measure: Optimised single-phase feeding in pigs, Mean value | |||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg NH3-N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg NH3-N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -14.47 | Euro per kg NH3-N abated | Measure: Three-phase feeding in pigs, Mean value | |||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg NH3-N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg NH3-N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -22.26 | Euro per kg NH3-N abated | Measure: Improved forage quality, Mean value | |||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg N2O-N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg N2O-N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -597.96 | Euro per kg N20-N abated | Measure: Optimised single-phase feeding in pigs, Mean value | |||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg N2O-N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg N2O-N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -383.05 | Euro per kg N20-N abated | Measure: Three-phase feeding in pigs, Mean value | |||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg N2O-N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg N2O-N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -701.21 | Euro per kg N20-N abated | Measure: Improved forage quality, Mean value | |||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg NO-N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg NO-N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -910.07 | Euro per kg N0-N abated | Measure: Optimised single-phase feeding in pigs, Mean value | |||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg NO-N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg NO-N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -582.99 | Euro per kg N0-N abated | Measure: Three-phase feeding in pigs, Mean value | |||
| 45 | KOLT | M. Pierer; B. Amon; W. Winiwarter | Adapting feeding methods for less nitrogen pollution from pig and dairy cattle farming: abatement costs and uncertainties | https://dx.doi.org/10.1007/s10705-016-9767-0 | 2016 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Austria/Germany | Environmental | Nitrogen emissions | Natural capital | kg NO-N abated | not applicable | European Enviromental Agency, Bundesumweltamt, and others | Monte Carlo simulation | Abatement costs | European Enviromental Agency, Bundesumweltamt, and others | Own calculations | Euro per kg NO-N abated | Austria/Germany | Different years (1999-2015) | Data from different peer-reviewd articles and official census data | Stochastic simulation (mean, max, min, SD) | National Census data (Statistics Austria) and Austria Federal Institue of Agricultural Economics | -958.79 | Euro per kg N0-N abated | Measure: Improved forage quality, Mean value | |||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 170 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 3 E/t CO2 eq., % grass: 72 | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 121.9 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 6 E/t CO2 eq., % grass: 73 | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 105.3 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 9 E/t CO2 eq., % grass: 75 | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 117.4 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 12 E/t CO2 eq., % grass: 75 | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 140.3 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 15 E/t CO2 eq., % grass: 75 | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 115.9 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 18 E/t CO2 eq., % grass: 76 | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 113.2 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 19 E/t CO2 eq., % grass: 77 | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 26 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 19,1 E/t CO2 eq., % grass: 76, investing in flexible draining | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 29 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 21 E/t CO2 eq., % grass: 74, investing in flexible draining | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 30.6 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 24 E/t CO2 eq., % grass: 76, investing in flexible draining | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 32.2 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 27 E/t CO2 eq., % grass: 77, investing in flexible draining | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 34.6 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 30 E/t CO2 eq., % grass: 78, investing in flexible draining | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 38.9 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 35 E/t CO2 eq., % grass: 78, investing in flexible draining | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 42.8 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 40 E/t CO2 eq., % grass: 79, investing in flexible draining | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 47.6 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 45 E/t CO2 eq., % grass: 79, investing in flexible draining | ||
| 46 | KOLT | T. Purola; H. Lehtonen | Farm-Level Effects of Emissions Tax and Adjustable Drainage on Peatlands | https://dx.doi.org/10.1007/s00267-021-01543-1 | 2022 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Varsinais-Suomi province (southwest Finland) | Environmental | Global Warming | Natural and human capital | CO2 eq. | not applicable | IPCC (2014) | DEMCROP | Abatement costs | Own calculations | Own calculations | Euro per ton CO2-eq. | Finland | 2010-2019 | Official farm statistics for the Varsinais-Suomi region | Sensitivity analysis on output prices, yield and share of organic soil | Official farm statistics for the Varsinais-Suomi region | 51.1 | Euro per ton CO2 eq. | Euro/ton CO2 eq. | GHG emission tax: 50 E/t CO2 eq., % grass: 81, investing in flexible draining | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.43 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding dairy cows, GAINS France | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.39 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding dairy cows, GAINS Germany | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.88 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding dairy cows, GAINS Ireland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.46 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding dairy cows, GAINS Poland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.64 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding pigs, GAINS France | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.45 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding pigs, GAINS Germany | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.65 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding pigs, GAINS Ireland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.45 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding pigs, GAINS Poland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 5.3 | Euro per kg NH3 abated | Measure: Air Scrubbers, GAINS France | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 3.13 | Euro per kg NH3 abated | Measure: Air Scrubbers, GAINS Germany | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 4.75 | Euro per kg NH3 abated | Measure: Air Scrubbers, GAINS Ireland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 3.02 | Euro per kg NH3 abated | Measure: Air Scrubbers, GAINS Poland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 4.96 | Euro per kg NH3 abated | Measure: High efficient slurry cover dairy, GAINS France | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 6.26 | Euro per kg NH3 abated | Measure: High efficient slurry cover dairy, GAINS Germany | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 32.53 | Euro per kg NH3 abated | Measure: High efficient slurry cover dairy, GAINS Ireland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 6.56 | Euro per kg NH3 abated | Measure: High efficient slurry cover dairy, GAINS Poland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 9.19 | Euro per kg NH3 abated | Measure: High efficient slurry cover pigs, GAINS France | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 12.7 | Euro per kg NH3 abated | Measure: High efficient slurry cover pigs, GAINS Germany | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 1.49 | Euro per kg NH3 abated | Measure: High efficient slurry cover pigs, GAINS Ireland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 3.73 | Euro per kg NH3 abated | Measure: High efficient slurry cover pigs, GAINS Poland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 2.19 | Euro per kg NH3 abated | Measure: Low efficient slurry cover dairy, GAINS France | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 1.97 | Euro per kg NH3 abated | Measure: Low efficient slurry cover dairy, GAINS Germany | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 10.74 | Euro per kg NH3 abated | Measure: Low efficient slurry cover dairy, GAINS Ireland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 3.54 | Euro per kg NH3 abated | Measure: Low efficient slurry cover dairy, GAINS Poland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 2.98 | Euro per kg NH3 abated | Measure: Low efficient slurry cover pigs, GAINS France | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 3.6 | Euro per kg NH3 abated | Measure: Low efficient slurry cover pigs, GAINS Germany | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.38 | Euro per kg NH3 abated | Measure: Low efficient slurry cover pigs, GAINS Ireland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 1.42 | Euro per kg NH3 abated | Measure: Low efficient slurry cover pigs, GAINS Poland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.75 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication dairy, GAINS France | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.76 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication dairy, GAINS Germany | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 8.7 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication dairy, GAINS Ireland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 1.54 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication dairy, GAINS Poland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 1.45 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication pigs, GAINS France | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 2.33 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication pigs, GAINS Germany | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 32.19 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication pigs, GAINS Ireland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | Cost-benefit analysis | GAINS model | Abatement costs | Bittman et al. (2014) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019? | Various sources (Klimont and Winiwarter, 2011, 2015 | not applied | Various peer reviewd articles (Klimont and Winiwarter, 2011, 2015) | 0.71 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication pigs, GAINS Poland | Large differences between GAINS and national data | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | RWT (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | RMT (2019) | -6.37 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding dairy cows, Precisely balanced diet, national data France | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Häußermann et al. (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Häußermann et al. (2019) | 8 (6-10) | Euro per kg NH3 abated | Measure: Low Nitrogen feeding dairy cows, Reducing crude protein, national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Buckley and Krol (2020) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2020 | Country specific data and literature | not applied | Buckley and Krol (2020) | -20.97 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding dairy cows, Reducing crude protein, national data Ireland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Sowula-Skrzyńska (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Sowula-Skrzyńska (2019) | 9.67 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding dairy cows, Precisely balanced diet, national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Sowula-Skrzyńska (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Sowula-Skrzyńska (2019) | 0.54 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding dairy cows, use of phyto supplements and condensed tanins, national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Sowula-Skrzyńska (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Sowula-Skrzyńska (2019) | -2.54 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding dairy cows, extended grazing from 170 to 210 days, national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | RMT (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | RMT (2019) | -9.56 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding pigs, Multiphase feeding, national data France | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Häussermann et al. (2019), after Döhler et al. (2011a) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Häussermann et al. (2019), after Döhler et al. (2011a) | -3.53 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding pigs, Reduction of CP content and supplementation with amino acids, national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Häussermann et al. (2019), after Döhler et al. (2011a) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Häussermann et al. (2019), after Döhler et al. (2011a) | -8.8 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding pigs, Multiphase feeding, national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Buckley and Krol (2020) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2020 | Country specific data and literature | not applied | Buckley and Krol (2020) | -6.44 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding pigs, Reduction of CP content, national data Ireland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Sowula-Skrzyńska (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Sowula-Skrzyńska (2019) | -0.63 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding pigs, reduction of CP content, national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Sowula-Skrzyńska (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Sowula-Skrzyńska (2019) | 1.07 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding pigs, Reduction of CP content and supplementation with amino acids, national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Sowula-Skrzyńska (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Sowula-Skrzyńska (2019) | 1.59 | Euro per kg NH3 abated | Measure: Low Nitrogen feeding pigs, Multiphase feeding, national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | RMT (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | RMT (2019) | 4.17 | Euro per kg NH3 abated | Measure: Air scrubbing (water/acid), national data France | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | KTBL (2020): 504-505 | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | KTBL (2020): 504-505 | 9.71 | Euro per kg NH3 abated | Measure: Air scrubbing (acid), national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | KTBL (2020): 504-505 | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | KTBL (2020): 504-505 | 7.09 | Euro per kg NH3 abated | Measure: Air scrubbing (biological reactors), national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | KTBL (2020): 504-505 | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | KTBL (2020): 504-505 | 6.6 | Euro per kg NH3 abated | Measure: Air scrubbing (combined), national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Jugowar (ed) (2021) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2021? | Country specific data and literature | not applied | Jugowar (ed) (2021) | 4.5 | Euro per kg NH3 abated | Measure: Air scrubbing (acid), national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Jugowar (ed) (2021) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2021? | Country specific data and literature | not applied | Jugowar (ed) (2021) | 5.96 | Euro per kg NH3 abated | Measure: Air scrubbing (biological reactors), national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Jugowar (ed) (2021) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2021? | Country specific data and literature | not applied | Jugowar (ed) (2021) | 5.63 | Euro per kg NH3 abated | Measure: Air scrubbing (combined, 3-steps), national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | RMT (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | RMT (2019) | 9.66 | Euro per kg NH3 abated | Measure: Low efficient slurry cover dairy, floating cover. national data France | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Häussermann et al. (2019), after Döhler et al. (2011a) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Häussermann et al. (2019), after Döhler et al. (2011a) | 3.05 | Euro per kg NH3 abated | Measure: Low efficient slurry cover dairy, floating cover, expanded clay and straw covers, national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Buckley and Krol (2020) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2020 | Country specific data and literature | not applied | Buckley and Krol (2020) | 1.47 | Euro per kg NH3 abated | Measure: Low efficient slurry cover dairy, floating cover. national data Ireland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Häussermann et al. (2019), after Döhler et al. (2011a) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Häussermann et al. (2019), after Döhler et al. (2011a) | 0.67 | Euro per kg NH3 abated | Measure: Low efficient slurry cover pigs, floating cover, expanded clay and hexa-covers, national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | RMT (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | RMT (2019) | 14.67 | Euro per kg NH3 abated | Measure: High efficient slurry cover dairy, Rigid and tent covers, national data France | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Häussermann et al. (2019), after Döhler et al. (2011a) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Häussermann et al. (2019), after Döhler et al. (2011a) | 7.95 | Euro per kg NH3 abated | Measure: High efficient slurry cover dairy, Rigid and tent covers, national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Jugowar (ed) (2021) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | Country specific data and literature | not applied | Jugowar (ed) (2021) | 8.76 | Euro per kg NH3 abated | Measure: High efficient slurry cover dairy, Rigid and tent covers, national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | |||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Häussermann et al. (2019), after Döhler et al. (2011a) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Häussermann et al. (2019), after Döhler et al. (2011a) | 1.1 | Euro per kg NH3 abated | Measure: High efficient slurry cover pigs, rigid covers (concrete), national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Häussermann et al. (2019), after Döhler et al. (2011a) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Häussermann et al. (2019), after Döhler et al. (2011a) | 2.5 | Euro per kg NH3 abated | Measure: High efficient slurry cover pigs, Tent covers, national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Buckley and Krol (2020) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2020 | Country specific data and literature | not applied | Buckley and Krol (2020) | -0.13 | Euro per kg NH3 abated | Measure: High efficient slurry cover pigs, Rigid cover. national data Ireland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Jugowar (ed) (2021) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | Country specific data and literature | not applied | Jugowar (ed) (2021) | 4.69 | Euro per kg NH3 abated | Measure: High efficient slurry cover pigs, Rigid covers (closed concrete, metal, plastic tanks), storage bags, national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | |||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Poland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Jugowar (ed) (2021) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | Country specific data and literature | not applied | Jugowar (ed) (2021) | 0.56 | Euro per kg NH3 abated | Measure: High efficient slurry cover pigs, Tent covers, national data Poland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | |||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | RMT (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | RMT (2019) | 1.53 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication dairy, trailing hose, national data France | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Häussermann et al. (2019), after Döhler et al. (2011a) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Häussermann et al. (2019), after Döhler et al. (2011a) | 3.05 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication dairy, trailing shoes or trailing hose, slot injector, national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Buckley and Krol (2020) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2020 | Country specific data and literature | not applied | Buckley and Krol (2020) | 1.4 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication dairy, trailing hose and trailing shoe, national data Ireland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | France | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | RMT (2019) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | RMT (2019) | 0.13 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication pigs, trailing hose, national data France | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Germany | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Häussermann et al. (2019), after Döhler et al. (2011a) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2019 | Country specific data and literature | not applied | Häussermann et al. (2019), after Döhler et al. (2011a) | 4.23 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication pigs, trailing shoes or trailing hose, slot injector, national data Germany | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 47 | KOLT | A. Rychła; B. Amon; M. Hassouna; T. J. van der Weerden; W. Winiwarter | Costs and effects of measures to reduce ammonia emissions from dairy cattle and pig production: A comparison of country-specific estimations and model calculations | https://dx.doi.org/10.1016/j.jenvman.2023.118678 | 2023 | Peer-reviewed paper | Farm to farm-gate | Pig farming | Pigs | Farm | not applicable | Ireland | Environmental | Acidification | Natural capital | kg NH3 abated | not applicable | national data (not specified) | national data (not specified) | Abatement costs | Buckley and Krol (2020) | Own calculations | Euro per kg NH3 abated | France, Germany, Ireland, Poland | 2020 | Country specific data and literature | not applied | Buckley and Krol (2020) | 5.77 | Euro per kg NH3 abated | Measure: Low ammonia slurry appication pigs, trailing hose and trailing shoe, national data Ireland | Cost data provided by different sources are not easy to understandand seem inconsitent between the respective sources presented | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt GHG reduction level | Various official regional and national datasources | 0-100 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | GHG Reduction level 1-10%, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt GHG reduction level | Various official regional and national datasources | ca. 125 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | GHG Reduction level 10-20% advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt GHG reduction level | Various official regional and national datasources | 50-150 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | GHG Reduction level 1-6%, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt GHG reduction level | Various official regional and national datasources | ca. 150 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | GHG Reduction level 6-20% simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt milk price | Various official regional and national datasources | ca. 100 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Milk price 26-31 Euro cent/kg, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt milk price | Various official regional and national datasources | ca. 125 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Milk price 31-36 Euro cent/kg, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt milk price | Various official regional and national datasources | ca. 125 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Milk price 26-31 Euro cent/kg, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt milk price | Various official regional and national datasources | ca. 150 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Milk price 31-36 Euro cent/kg, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt number of cows in initial herd | Various official regional and national datasources | 120-250 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Number of cows 20-40, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt number of cows in initial herd | Various official regional and national datasources | ca. 120 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Number of cows 40-250, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt number of cows in initial herd | Various official regional and national datasources | 150-260 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Number of cows 20-40, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt number of cows in initial herd | Various official regional and national datasources | ca. 150 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Number of cows 40-250, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt milk yield in kg per cow and year | Various official regional and national datasources | 50-100 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Milk yield 5000-6500 kg per cow per year, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt milk yield in kg per cow and year | Various official regional and national datasources | ca. 110 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Milk yield 6.500-11.000 kg per cow per year, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt milk yield in kg per cow and year | Various official regional and national datasources | 50-150 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Milk yield 5000-8000 kg per cow per year, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt milk yield in kg per cow and year | Various official regional and national datasources | ca. 150 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Milk yield 8.000-11.000 kg per cow per year, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt time horizon | Various official regional and national datasources | ca. 110 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Time horizon 10-15 year, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt time horizon | Various official regional and national datasources | 110-75 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Time horizon 15-20 year, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt time horizon | Various official regional and national datasources | ca. 140 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Time horizon 10-15 year, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt time horizon | Various official regional and national datasources | 140-90 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Time horizon 15-20 year, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt buiding year of stables | Various official regional and national datasources | ca. 125 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Building year of stable 1995-2000, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt buiding year of stables | Various official regional and national datasources | ca. 100 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Building year of stable 2000-2005, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt buiding year of stables | Various official regional and national datasources | ca. 150 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Building year of stable 1995-2000, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt buiding year of stables | Various official regional and national datasources | ca. 125 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Building year of stable 2000-2005, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt buiding year of wage rate in Euro/hour | Various official regional and national datasources | ca. 120 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Wage rate 6-15 Euro/hour, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt buiding year of wage rate in Euro/hour | Various official regional and national datasources | ca. 150 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Wage rate 6-15 Euro/hour, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt labour productivity | Various official regional and national datasources | ca. 125 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | labour productivity 30-51 WH per cow per year, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt labour productivity | Various official regional and national datasources | ca. 100 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | labour productivity 51-72 WH per cow per year, advanced indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt labour productivity | Various official regional and national datasources | ca. 150 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | labour productivity 30-51 WH per cow per year, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt labour productivity | Various official regional and national datasources | ca. 110 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | labour productivity 51-72 WH per cow per year, simple indicators | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of advanced indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt concentrate price in Euro/ton | Various official regional and national datasources | ca. 120 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Concentrate 160-230 Euro per ton, advanced indicator | ||
| 48 | KOLT | B. Lengers; W. Britz; K. Holm-Müller | What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modelling approach | https://dx.doi.org/10.1111/1477-9552.12057 | 2014 | Peer-reviewed paper | Farm to farm-gate | Dairy farming | Dairy cattle | Farm | not applicable | North-Rhine-Westphalia (Germany) | Environmental | Global Warming | Natural and human capital | Euro per ton CO2 eq. per GHG reduction level | not applicable | Simulation by meta-model of simple indicators | DAIRYDYN | MAC | Various official data sources (LWK-NRW, BMELV, KTBL, LFL) | Own calculations | Euro per ton CO2-eq. | Germany (NRW) | 1991-2013 | Regional and country specific data sources | Simulations wrt concentrate price in Euro/ton | Various official regional and national datasources | ca. 150 | Euro per ton CO2-eq. | Euro/ton CO2 eq. | Concentrate 160-230 Euro per ton, simple indicator | ||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Acidification | Natural capital | NH3 emissions | NH3 | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg NH3 | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 6.9 | Euro per kg NH3 | combination: floating manure storage cover and trailing shoe | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Acidification | Natural capital | NH3 emissions | NH3 | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Abatement costs | German Federal Enviroment Agency (2007) | See external costs | Euro per kg NH3 | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 5.9 | Euro per kg NH3 | combination: concrete manure storage cover and injector | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human capital | YOLL (Years of Life Lost) | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Damage costs | German Federal Enviroment Agency (2007) | See external costs | YOLL | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 14540 | YOLL | Reduced life expectancy Reference | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human capital | DALY | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Damage costs | German Federal Enviroment Agency (2007) | See external costs | DALY | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 9188 | DALY | Reference Morbidity | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human capital | YOLL (Years of Life Lost) | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Damage costs | German Federal Enviroment Agency (2007) | See external costs | YOLL | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 11475 | YOLL | combination: floating manure storage cover and trailing shoe | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human capital | YOLL (Years of Life Lost) | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Damage costs | German Federal Enviroment Agency (2007) | See external costs | YOLL | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 10840 | YOLL | combination: floating manure storage cover and trailing shoe | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human capital | DALY | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Damage costs | German Federal Enviroment Agency (2007) | See external costs | DALY | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 7251 | DALY | combination: concrete manure storage cover and injector | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human capital | DALY | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Damage costs | German Federal Enviroment Agency (2007) | See external costs | DALY | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 6850 | DALY | combination: concrete manure storage cover and injector | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Particulate matter formation | Human capital | Million Euro | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Damage costs | German Federal Enviroment Agency (2007) | See external costs | Million Euro | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 1522 | Million Euro | Reference scenario | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Biodiversity | Natural capital | Million Euro | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Damage costs | German Federal Enviroment Agency (2007) | See external costs | Million Euro | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 1135 | Million Euro | Reference scenario | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Human health and Biodiversity | Natural and human capital | Million Euro | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Total benefits | German Federal Enviroment Agency (2007) | See external costs | Million Euro | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 558 | Million Euro | combination: floating manure storage cover and trailing shoe | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Human health and Biodiversity | Natural and human capital | Million Euro | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Total benefits | German Federal Enviroment Agency (2007) | See external costs | Million Euro | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 664 | Million Euro | combination: concrete manure storage cover and injector | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Human health and Biodiversity | Natural and human capital | Million Euro | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Net benefits | German Federal Enviroment Agency (2007) | See external costs | Million Euro | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 401 | Million Euro | combination: floating manure storage cover and trailing shoe | |||
| 49 | KOLT | S. Wagner; E. Angenendt; O. Beletskaya; J. Zeddies | Assessing ammonia emission abatement measures in agriculture: Farmers' costs and society's benefits – A case study for Lower Saxony, Germany | https://dx.doi.org/10.1016/j.agsy.2017.06.008 | 2017 | Peer-reviewed paper | Farm to farm-gate | Livestock production systems | not specified | Region | Not applicable | Lower Saxony (Germany) | Environmental | Human health and Biodiversity | Natural and human capital | Million Euro | not applicable | Cost-benefit analysis + Impact Pathway chain | EFEM (Economic Farm Emission Model) + EcoSense | Net benefits | German Federal Enviroment Agency (2007) | See external costs | Million Euro | Lower Saxony | 2003-2010 | 2.6 million ha agricutural area (0,9 LU/ha) | Uncertainty analysis | Official statistical farm data and relevant literature for EFs | 505 | Million Euro | combination: concrete manure storage cover and injector | |||
| 50 | KOLT | L. Adenaeuer; J. Breen; A. Hayden | Insights in overcoming the non-adoption of voluntary agricultural ghg mitigation measures in Ireland | https://doi.org/10.3280/ecag3-2020oa11042 | 2020 | Peer-reviewed paper | not specified | Farming system | not specified | Country | Not applicable | Ireland | Environmental | Global Warming | Natural and human capital | not applicable | not applicable | Determinants analysis | not specified | not specified | (Lanigan and Donnellan, 201 | 50 | Euro per ton CO2 | Ireland | 2018 | not specified | not specified | not specified | not applied | not applied | no own TCA performed | no own TCA performed | ||
| 51 | LV | Galgani, Woltjer, De Adelhart Toorp, De Groot Ruiz, Varoucha | Contribution to climate change | https://trueprice.org/contribution-to-climate-change/ | 2021 | Report | Cradle to factory-gate | Not applicable | Not applicable | Global | Not applicable | Global | Environmental | Climate change | Natural and human capital | GHG emission | Kg CO2 eq. | LCA assessment | not specified | Abatement costs | Kuik et al. (2009) | 0.168 | euro/kg CO2 eq. | Global | 2009 | not specified | No sensitivity analysis applied | Report | Monetisation is based on 2-degree scenario. This price is very uncertain. Lack of recent estimates, data from Kuik et al. (2009) was used but this source is quite old | |||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Toxic emissions to air, soil and water | EUR/DALY | Recipe 2016 | not specified | Damage costs | Biausque (2012) | 103048 | EUR/daly | Not specified | 2012 | not specified | No sensitivity analysis applied | Report | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | |||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Toxic emissions to air, soil and water | kg 1,4-DCB emitted to industrial soil eq. | Recipe 2016 | not specified | Damage costs | Huijbregts et al. (2017), De Groot et al. (2012), OECD (n.d.a.) | 0.00025 | Eur/kg 1,4-DCB emitted to industrial soil eq. | The Netherlands | 2012, 2017 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Toxic emissions to air, soil and water | kg 1,4-DBC emitted to freshwater eq. | Recipe 2016 | not specified | Damage costs | Huijbregts et al. (2017), De Groot et al. (2012), OECD (n.d.a.) | 0.04 | EUR/kg 1,4-DBC emitted to freshwater eq. | The Netherlands | 2012, 2017 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Toxic emissions to air, soil and water | kg 1,4-DCB emitted to seawater eq. | Recipe 2016 | not specified | Damage costs | Huijbregts et al. (2017), De Groot et al. (2012), OECD (n.d.a.) | 0.0018 | EUR/kg 1,4-DCB emitted to seawater eq. | The Netherlands | 2012, 2017 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Paritulcate matter formation | kg PM2.5 eq. | Recipe 2016 | not specified | Damage costs | Biausque (2012), Huijbregts et al., (2012) | 64.84 | EUR/kg PM2.5 eq. | The Netherlands | 2012 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Photochemical oxidant formation | kg NOx eq | Recipe 2016 | not specified | Damage costs | Biausque (2012), Huijbregts et al., (2012) | 2.85 | EUR/kg NOx eq | The Netherlands | 2012 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Photochemical oxidant formation | kg NOx eq | Recipe 2016 | not specified | Damage costs | Biausque (2012), Huijbregts et al. (2017), De Groot et al. (2012), OECD (n.d.a.) | 0.09 | EUR/kg NOx eq. | The Netherlands | 2012, 2017 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Acidification | kg SO2 eq. | Recipe 2016 | not specified | Damage costs | Huijbregts et al. (2017), De Groot et al. (2012), OECD (n.d.a.) | 4.68 | EURO/kg SO2 eq. | The Netherlands | 2012, 2017 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Ozone layer depleting emissions | kg CFC-11 eq | Recipe 2016 | not specified | Damage costs | Biausque (2012), Huijbregts (2012) | 56.21 | EUR/kg CFC-11 eq | The Netherlands | 2012 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Nitrogen deposition | kg NH3 | Recipe 2016 | not specified | Damage costs | Van den Born et al. (2020) | 12.7 | EUR/kg NH3 | The Netherlands | 2020 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Nitrogen deposition | kg NH3 | Recipe 2016 | not specified | Damage costs | Van den Born et al. (2020) | 8.1 | EUR/kg NH3 | The Netherlands | 2020 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Nitrogen deposition | kg NH3 | Recipe 2016 | not specified | Damage costs | Van den Born et al. (2020) | 7.1 | EUR/kg NH3 | The Netherlands | 2020 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | NOx from use of machines and vehicles | kg NOx eq | Recipe 2016 | not specified | Damage costs | Van den Born et al. (2020) | 1.2 | EUR/kg NOx | The Netherlands | 2020 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | NOx from other sources | kg NOx | Recipe 2016 | not specified | Damage costs | Van den Born et al. (2020) | 2.3 | EURO/kg NOx | The Netherlands | 2020 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Freshwater eutrophication | kg P-eq to freshwater | Recipe 2016 | not specified | Abatement costs | Prokofieva et al. (2011) | 203 | EUR/kg P-eq to freshwater | Not specified | 2011 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 52 | LV | Galgani, Woltjer, Kanidou, Varoucha, De Adelhart Toorop | Air, soil and water pollution | https://trueprice.org/air-soil-and-water-pollution/ | 2023 | Report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Pollution | Natural and human capital | Marine eutrophication | kg N-eq to marine water | Recipe 2016 | not specified | Abatement costs | Prokofieva et al. (2011) | 14.07 | EUR/kg N-eq to marine water | Not specified | 2011 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 53 | WB | Galgani, Woltjer, De Adelhart Toorp, De Groot Ruiz | Fossil fuel and other non-renewable material depletion | https://edepot.wur.nl/558072 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Depletion | Natural capital | fossil fuel depletion | kg oil-eq/unit output | Recipe 2016 | not specified | Damage costs | Huijbregts et al., 2017 | 0.446 | EUR2020/kg oil-eq | global | 2020 | not specified | No sensitivity analysis applied | uncertainty about future costs to extract | ||||||
| 53 | WB | Galgani, Woltjer, De Adelhart Toorp, De Groot Ruiz | Fossil fuel and other non-renewable material depletion | https://edepot.wur.nl/558072 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | Depletion | Natural capital | other non renewable material depletion | g Cu-eq/unit output | Recipe 2016 | not specified | Damage costs | Huijbregts et al., 2017 | 0.225 | EUR2020/ kg Cu-eq | global | 2020 | not specified | No sensitivity analysis applied | uncertainty about future costs to extract | ||||||
| 54 | WB | Galgani, Woltjer, Kanidou, De Adelhart Toorp, De Groot Ruiz | Scarce water use | https://edepot.wur.nl/558073 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Depletion | Natural capital | scarce water use | m3 /unit output (scarcity adjusted) | not applicable | not specified | Abatement costs | world bank , 2012 p 11 | 1.29 | EUR/m3 | global | 2012 | not specified | No sensitivity analysis applied | uncertainty about regional differentiation, future costs | ||||||
| 55 | WB | Galgani, Woltjer, De Adelhart Toorp, Varoucha, Kanidou | soil degradation | https://edepot.wur.nl/557712 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | Environmental | soil erosion water | Natural and human capital | annual erosion per hectare | t.ha-1 .yr-1 | Not specified | rusle model | Damage costs | FAO (2014) | 0.0214 | EUR2020/kg soil loss | global and NL | 2020 | not specified | No sensitivity analysis applied | Uncerainty of pollution impacts and their external costs. Uncertainty in terms of scope (e.g. system boundaries), process data (data quality), and modelling parameters | ||||||
| 55 | WB | Galgani, Woltjer, De Adelhart Toorp, Varoucha, Kanidou | soil degradation | https://edepot.wur.nl/557712 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | soil erosion air | Natural and human capital | annual erosion per hectare | t.ha-1 .yr-1 | Not specified | RWEQ model | Damage costs | FAO(2014) | 0.0273 | EUR2020/kg soil loss | global and NL | 2020 | not specified | No sensitivity analysis applied | difficult to regionalize; because of many and local data need | ||||||
| 55 | WB | Galgani, Woltjer, De Adelhart Toorp, Varoucha, Kanidou | soil degradation | https://edepot.wur.nl/557712 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Soil Organic Carbon (SOC) Loss | Natural and human capital | in tonnes C.ha-1 .yr-1 ) | Based on existing SOC measurements | not specified | damage costs | Ligthart & van Harmelen (2019) | 0.03 | EUR2020/kg SOC loss | global and NL | 2020 | not specified | No sensitivity analysis applied | difficult to regionalize; because of many and local data need | |||||||
| 55 | WB | Galgani, Woltjer, De Adelhart Toorp, Varoucha, Kanidou | soil degradation | https://edepot.wur.nl/557712 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Soil compaction | Natural and human capital | driving intensity | t * km per ha. | Not specified | Based on model of Stoessel et al. (2018) | Damage costs | Stoessel et al. (2018); FAOSTAT (2018a); FAOSTAT (2018b | 0.5518 | EUR2020/ ton-km | global | 2020 | not specified | No sensitivity analysis applied | overlap between private and public costs and possible overlap with climate change impact | ||||||
| 55 | WB | Galgani, Woltjer, De Adelhart Toorp, Varoucha, Kanidou | soil degradation | https://edepot.wur.nl/557712 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Soil compaction | Natural and human capital | driving intensity | t * km per ha. | Not specified | Based on model of Stoessel et al. (2018) | Damage costs | Stoessel et al. (2018); FAOSTAT (2018a); FAOSTAT (2018b | 3.544 | EUR2020/ ton-km | Netherlands | 2020 | not specified | No sensitivity analysis applied | overlap between private and public costs and possible overlap with climate change impact | ||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use | Natural and human capital | Mean species abundance (MSA) | MSA*ha*yr/unit | Own method developed in document | Opportunity cost (value of loss ecosystem services) | De Groot et al. (2012) | 2118 | EUR/MSA*ha*yr | Biome Tropical forest | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use | Natural and human capital | Mean species abundance (MSA) | MSA*ha*yr/unit | Own method developed in document | Opportunity cost (value of loss ecosystem services) | De Groot et al. (2012) | 1014 | EUR/MSA*ha*yr | Biome other forest | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use | Natural and human capital | Mean species abundance (MSA) | MSA*ha*yr/unit | Own method developed in document | Opportunity cost (value of loss ecosystem services) | De Groot et al. (2012) | 1369 | EUR/MSA*ha*yr | Biome woodland/shrubland | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use | Natural and human capital | Mean species abundance (MSA) | MSA*ha*yr/unit | Own method developed in document | Opportunity cost (value of loss ecosystem services) | De Groot et al. (2012) | 2427 | EUR/MSA*ha*yr | Biome grassland/savannah | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use | Natural and human capital | Mean species abundance (MSA) | MSA*ha*yr/unit | Own method developed in document | Opportunity cost (value of loss ecosystem services) | De Groot et al. (2012) | 14871 | EUR/MSA*ha*yr | Biome inland wetland | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use | Natural and human capital | Mean species abundance (MSA) | MSA*ha*yr/unit | Own method developed in document | Opportunity cost (value of loss ecosystem services) | De Groot et al. (2012) | 10939 | EUR/MSA*ha*yr | Biome coastal wetland | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use change | Natural and human capital | Mean species abundance (MSA) | MSA*ha/unit | Own method developed in document | Restoration cost | TEEB (2009) | 3595 | EUR/MSA*ha | Biome tropical forest | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use change | Natural and human capital | Mean species abundance (MSA) | MSA*ha/unit | Own method developed in document | Restoration cost | TEEB (2009) | 2491 | EUR/MSA*ha | Biome other forest | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use change | Natural and human capital | Mean species abundance (MSA) | MSA*ha/unit | Own method developed in document | Restoration cost | TEEB (2009) | 1032 | EUR/MSA*ha | Biome woodland/shurbland | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use change | Natural and human capital | Mean species abundance (MSA) | MSA*ha/unit | Own method developed in document | Restoration cost | TEEB (2009) | 271 | EUR/MSA*ha | Biome grassland/savannah | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use change | Natural and human capital | Mean species abundance (MSA) | MSA*ha/unit | Own method developed in document | Restoration cost | TEEB (2009) | 34392 | EUR/MSA*ha | Biome inland wetland | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 56 | LV | Galgani, Woltjer, De Adelhart Toorop, De Groot Ruiz, Varoucha | Land use, land use change, biodiversity and ecosystems services | https://edepot.wur.nl/555581 | 2021 | report | Cradle to factory-gate | Not applicable | Not applicable | Country or global | Not applicable | Global and the Netherlands | environmental | Land use change | Natural and human capital | Mean species abundance (MSA) | MSA*ha/unit | Own method developed in document | Restoration cost | TEEB (2009) | 3001 | EUR/MSA*ha | Biome coastal wetland | No sensitivity analysis applied | Accuracy of monetization factors; no distinction reversible and irreversible loss; reference point is debatable; high degree of uncertainty of monetization factors | |||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Climate change | Natural and human capital | GHG emission | Kg CO2 eq. | Own method developed in document | Damage costs | 0.057 | €/kg CO2-eq. | The Netherlands | No sensitivity analysis applied | |||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Ozone layer depletion | Natural and human capital | kg CFC-eq. | Own method developed in document | Damage costs | 123 | €/kg CFC-eq. | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Human toxicity | Natural and human capital | kg 1,4 DB-eq. | Own method developed in document | Damage costs | 0.158 | €/kg 1,4 DB-eq. | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Photochemical oxidant formation | Natural and human capital | kg NMVOC-eq. | Own method developed in document | Damage costs | 2.1 | €/kg NMVOC-eq. | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Particulate matter formation | Human capital | kg PM10-eq. | Own method developed in document | Damage costs | 69 | €/kg PM10-eq. | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Ionizing radiation | Human capital | kg kBq U235-eq. | Own method developed in document | Damage costs | 0.0473 | €/kg kBq U235-eq. | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Acidification | Natural and human capital | kg SO2-eq. | Own method developed in document | Damage costs | 8.12 | €/kg SO2-eq. | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Freshwater eutrophication | Natural and human capital | kg P-eq. | Own method developed in document | Damage costs | 1.9 | €/kg P-eq. | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Marine eutrophication | Natural and human capital | kg N | Own method developed in document | Damage costs | 3.11 | €/kg N | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Terrestrial ecotoxicity | Natural capital | kg 1,4 DB-eq. | Own method developed in document | Damage costs | 8.89 | €/kg 1,4 DB-eq. | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Freshwater ecotoxicity | Natural capital | kg 1,4 DB-eq. | Own method developed in document | Damage costs | 0.0369 | €/kg 1,4 DB-eq. | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Marine ecotoxicity | Natural capital | kg 1,4 DB-eq. | Own method developed in document | Damage costs | 0.00756 | €/kg 1,4 DB-eq. | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 57 | DS | Sander the Bruyn, Saliha Ahdour, Marijn Bijleveld, Lonneke de Graaff, Ellen Schep, Arno Schroten, Robert Vergeer | Environmental Prices Handbook 2017, methods and numbers for valuation of environmental impacts | https://cedelft.eu/wp-content/uploads/sites/2/2021/03/CE_Delft_7N54_Environmental_Prices_Handbook_2017_FINAL.pdf | 2018 | Report | Not specified | Not applicable | Not applicable | Group of countries | Not applicable | EU-27 | Environmental | Land use | Natural and human capital | m2a | Own method developed in document | Damage costs | 0.037 | €/m2a | The Netherlands | No sensitivity analysis applied | ||||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Environmental | Climate | Natural and human capital | Greenhouse gas emissions | tonne CO2eq | Own method developed in document | Cost of replacing coal by offshore wind for electricity generation |
116 | EUR/tonne CO2eq | Global | 2020 | No sensitivity analysis applied | ||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Environmental | Climate | Natural and human capital | Carbon Stock | tonne CO2eq | Own method developed in document | Cost of replacing coal by offshore wind for electricity generation |
116 or -116 | EUR/tonne CO2 | Global | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Environmental | Soil | Natural and human capital | Soil erosion | tonne soil | Own method developed in document | On-site and off-site damage costs |
27.38 | USD/tonne soil | Global | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Environmental | Soil | Natural and human capital | Soil organicmatter build-up | tonne SOC emission or tonne SOC build-up | Own method developed in document | Restoration costs for SOC build-up |
100 | EUR/tonne SOC emission or EUR/tonne SOC build-up |
Global | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Environmental | Water | Natural and human capital | Water stress | m³ water use under water stress |
Own method developed in document | Costs of reverse osmosis of salt- or polluted water |
1 | EUR/m³ water use under water stress |
Global | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Environmental | Water | Natural and human capital | Water pollution | kg PO4eq | Own method developed in document | The cost of sustainable manure treatment |
4.7 | EUR/kg PO4eq | Global | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Environmental | Ecosystem | Natural and human capital | Acidification | kg SO2eq | Own method developed in document | The cost of diesel desulphurization |
8.75 | EUR/kg SO2eq | Global | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Environmental | Ecosystem | Natural and human capital | Eutrophication | kg PO4eq | Own method developed in document | The cost of sustainable manure treatment |
4.7 | EUR/kg PO4eq | Global | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Environmental | Ecosystem | Natural and human capital | Eco-toxicity | kg Cu eq | Own method developed in document | The cost of water treatment in municipal facilities |
340 | EUR/kg Cu eq | Global | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Human | Human health | Natural and human capital | Human toxicity | DALY | Own method developed in document | USEtox, (no fee, registration required), LCA Software (various software for free or at charge available) |
80000 | EUR/DALY | Local | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Human | Worker remuneration | Human capital | Living wage gap |
not shown | Own method developed in document | Described in this document, Anker Methodology (no fee); IDH Living Wage Matrix (fee) |
not applicable | not applicable | Workers and their families | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Human | Working conditions | Human capital | Occupational health & safety |
DALY | Own method developed in document | Eco-cost methodology (no fee) |
80000 | EUR/DALY | Workers | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Human | Working conditions | Human capital | Excessive working hours |
DALY | Own method developed in document | Eco-cost methodology (no fee) |
80000 | EUR/DALY | Workers | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Social | Gender inequality | Human capital | Gender pay gap |
not shown | Own method developed in document | Fully described in this document |
not applicable | not applicable | (Mostly female) workers and their families | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Social | Human rights violation | Human capital | Forced labour | DALY | Own method developed in document | Eco-cost methodology (no fee) (method was adapted) |
80000 | EUR/DALY | Forced workers and their families | No sensitivity analysis applied | |||||||||||
| 58 | EMA/PWA | True Cost Initiative: Soil & More Impacts GmbH and TMG – Töpfer, Müller, Gaßner GmbH a | TCA Handbook – Practical True Cost Accounting guidelines for the food and farming sector on impact measurement, valuation and reporting | https://tca2f.org/wp-content/uploads/2022/03/TCA_Agrifood_Handbook.pdf | 2022 | Report | Not specified | Not applicable | Not applicable | Not specified | Not applicable | Not specified | Social | Human rights violation | Human capital | Child labour | DALY | Own method developed in document | Eco-cost methodology (no fee) |
80000 | EUR/DALY | Working children | No sensitivity analysis applied |