AgIncentives policy indicators to support scenario analysis for assessing better outcomes for poverty, food security and climate change mitigation: IPSR Innovation Profile
An integrated framework of global and country Agri-Food Market and Policy Analysis Models (AMPAM) is implemented to assess the potential for and trade-offs associated with scaling interventions and innovations that create jobs, boost incomes, and reduce environmental footprints along food value chai...
| Autores principales: | , , , , , , , |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
CGIAR System Organization
2024
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| Acceso en línea: | https://hdl.handle.net/10568/155230 |
| _version_ | 1855530177087406080 |
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| author | Vos, Rob Martin, Will Thurlow, James Mamun, Abdullah Cantillo, Marco V. Sánchez Gautam, Madhur Gruère, Guillaume P. De Salvo, Carmine Paolo |
| author_browse | Cantillo, Marco V. Sánchez De Salvo, Carmine Paolo Gautam, Madhur Gruère, Guillaume P. Mamun, Abdullah Martin, Will Thurlow, James Vos, Rob |
| author_facet | Vos, Rob Martin, Will Thurlow, James Mamun, Abdullah Cantillo, Marco V. Sánchez Gautam, Madhur Gruère, Guillaume P. De Salvo, Carmine Paolo |
| author_sort | Vos, Rob |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | An integrated framework of global and country Agri-Food Market and Policy Analysis Models (AMPAM) is implemented to assess the potential for and trade-offs associated with scaling interventions and innovations that create jobs, boost incomes, and reduce environmental footprints along food value chains. A key component of AMPAM is the consistent and comparable set of indicators of degrees of policy support to agriculture and food sectors by type of support, food commodities, and countries. This set of policy indicators has been prepared in collaboration with the AgIncentives Consortium (FAO-IFPRI-IDB-OECD-World Bank). Together with the agrifood market database and the AMPAM modeling framework, the policy indicator dataset will be a critical ingredient for the scenario analysis the Initiative will undertake to support decision-makers in assessing the full potential, scalability, market opportunities, priorities for, and trade-offs associated with incentive schemes, and investments and innovations. |
| format | Brief |
| id | CGSpace155230 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | CGIAR System Organization |
| publisherStr | CGIAR System Organization |
| record_format | dspace |
| spelling | CGSpace1552302025-04-17T08:26:31Z AgIncentives policy indicators to support scenario analysis for assessing better outcomes for poverty, food security and climate change mitigation: IPSR Innovation Profile Vos, Rob Martin, Will Thurlow, James Mamun, Abdullah Cantillo, Marco V. Sánchez Gautam, Madhur Gruère, Guillaume P. De Salvo, Carmine Paolo climate change food security policies An integrated framework of global and country Agri-Food Market and Policy Analysis Models (AMPAM) is implemented to assess the potential for and trade-offs associated with scaling interventions and innovations that create jobs, boost incomes, and reduce environmental footprints along food value chains. A key component of AMPAM is the consistent and comparable set of indicators of degrees of policy support to agriculture and food sectors by type of support, food commodities, and countries. This set of policy indicators has been prepared in collaboration with the AgIncentives Consortium (FAO-IFPRI-IDB-OECD-World Bank). Together with the agrifood market database and the AMPAM modeling framework, the policy indicator dataset will be a critical ingredient for the scenario analysis the Initiative will undertake to support decision-makers in assessing the full potential, scalability, market opportunities, priorities for, and trade-offs associated with incentive schemes, and investments and innovations. 2024-09-30 2024-10-07T08:58:59Z 2024-10-07T08:58:59Z Brief https://hdl.handle.net/10568/155230 en Open Access application/pdf CGIAR System Organization Vos, R., Martin, W., Thurlow, J., Mamun, A., Cantillo, M., Gautam, M., Gruere, G. and de Salvo, C. 2024. AgIncentives policy indicators to support scenario analysis for assessing better outcomes for poverty, food security and climate change mitigation: IPSR Innovation Profile. First edition, September 2024. Montpellier: CGIAR System Organization. https://hdl.handle.net/10568/155230 |
| spellingShingle | climate change food security policies Vos, Rob Martin, Will Thurlow, James Mamun, Abdullah Cantillo, Marco V. Sánchez Gautam, Madhur Gruère, Guillaume P. De Salvo, Carmine Paolo AgIncentives policy indicators to support scenario analysis for assessing better outcomes for poverty, food security and climate change mitigation: IPSR Innovation Profile |
| title | AgIncentives policy indicators to support scenario analysis for assessing better outcomes for poverty, food security and climate change mitigation: IPSR Innovation Profile |
| title_full | AgIncentives policy indicators to support scenario analysis for assessing better outcomes for poverty, food security and climate change mitigation: IPSR Innovation Profile |
| title_fullStr | AgIncentives policy indicators to support scenario analysis for assessing better outcomes for poverty, food security and climate change mitigation: IPSR Innovation Profile |
| title_full_unstemmed | AgIncentives policy indicators to support scenario analysis for assessing better outcomes for poverty, food security and climate change mitigation: IPSR Innovation Profile |
| title_short | AgIncentives policy indicators to support scenario analysis for assessing better outcomes for poverty, food security and climate change mitigation: IPSR Innovation Profile |
| title_sort | agincentives policy indicators to support scenario analysis for assessing better outcomes for poverty food security and climate change mitigation ipsr innovation profile |
| topic | climate change food security policies |
| url | https://hdl.handle.net/10568/155230 |
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