Multidimensional impacts from international agricultural research: Implications for research priorities
Investors in international agricultural research seek sustainable agri-food technologies that can potentially serve multiple objectives, including economic growth, food security, and sustainable use of natural resources. We employ quantitative economic models to examine the potential multi-dimension...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Frontiers Media
2022
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| Acceso en línea: | https://hdl.handle.net/10568/127226 |
| _version_ | 1855518960588423168 |
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| author | Fuglie, Keith Wiebe, Keith D. Sulser, Timothy B. Cenacchi, Nicola Willenbockel, Dirk |
| author_browse | Cenacchi, Nicola Fuglie, Keith Sulser, Timothy B. Wiebe, Keith D. Willenbockel, Dirk |
| author_facet | Fuglie, Keith Wiebe, Keith D. Sulser, Timothy B. Cenacchi, Nicola Willenbockel, Dirk |
| author_sort | Fuglie, Keith |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Investors in international agricultural research seek sustainable agri-food technologies that can potentially serve multiple objectives, including economic growth, food security, and sustainable use of natural resources. We employ quantitative economic models to examine the potential multi-dimensional impacts of agricultural productivity gains in the Global South. These models take into account behavior responses to agricultural technological change, i.e., how productivity changes may affect decisions on what to produce, trade, and consume. We compare potential impacts of productivity growth in different commodities and regions and assess implications along several impact dimensions, including economic and income growth, the population at risk of hunger, adequacy of protein and micronutrients in human diets, land and water use, and greenhouse gas emissions. Potential impacts vary widely by commodity group and by region. These results reveal strengths and potential tradeoffs of different R&D spending allocations, and can help inform decision-making about an optimal R&D portfolio that takes into account the multiple objectives of agricultural investments. |
| format | Journal Article |
| id | CGSpace127226 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1272262025-12-08T10:29:22Z Multidimensional impacts from international agricultural research: Implications for research priorities Fuglie, Keith Wiebe, Keith D. Sulser, Timothy B. Cenacchi, Nicola Willenbockel, Dirk investments agricultural research technology economic growth food security sustainability natural resources economic modeling impacts agricultural productivity decision making hunger micronutrients greenhouse gas emissions horticulture ecology food science models global south investment trace elements productivity econometric models Investors in international agricultural research seek sustainable agri-food technologies that can potentially serve multiple objectives, including economic growth, food security, and sustainable use of natural resources. We employ quantitative economic models to examine the potential multi-dimensional impacts of agricultural productivity gains in the Global South. These models take into account behavior responses to agricultural technological change, i.e., how productivity changes may affect decisions on what to produce, trade, and consume. We compare potential impacts of productivity growth in different commodities and regions and assess implications along several impact dimensions, including economic and income growth, the population at risk of hunger, adequacy of protein and micronutrients in human diets, land and water use, and greenhouse gas emissions. Potential impacts vary widely by commodity group and by region. These results reveal strengths and potential tradeoffs of different R&D spending allocations, and can help inform decision-making about an optimal R&D portfolio that takes into account the multiple objectives of agricultural investments. 2022-11-03 2023-01-16T15:21:20Z 2023-01-16T15:21:20Z Journal Article https://hdl.handle.net/10568/127226 en https://hdl.handle.net/10568/150391 Open Access Frontiers Media Fuglie, Keith; Wiebe, Keith D.; Sulser, Timothy; Cenacchi, Nicola; and Willenbockel, Dirk. 2022. Multidimensional impacts from international agricultural research: Implications for research priorities. Frontiers in Sustainable Food Systems 3: 1031562. https://doi.org/10.3389/fsufs.2022.1031562 |
| spellingShingle | investments agricultural research technology economic growth food security sustainability natural resources economic modeling impacts agricultural productivity decision making hunger micronutrients greenhouse gas emissions horticulture ecology food science models global south investment trace elements productivity econometric models Fuglie, Keith Wiebe, Keith D. Sulser, Timothy B. Cenacchi, Nicola Willenbockel, Dirk Multidimensional impacts from international agricultural research: Implications for research priorities |
| title | Multidimensional impacts from international agricultural research: Implications for research priorities |
| title_full | Multidimensional impacts from international agricultural research: Implications for research priorities |
| title_fullStr | Multidimensional impacts from international agricultural research: Implications for research priorities |
| title_full_unstemmed | Multidimensional impacts from international agricultural research: Implications for research priorities |
| title_short | Multidimensional impacts from international agricultural research: Implications for research priorities |
| title_sort | multidimensional impacts from international agricultural research implications for research priorities |
| topic | investments agricultural research technology economic growth food security sustainability natural resources economic modeling impacts agricultural productivity decision making hunger micronutrients greenhouse gas emissions horticulture ecology food science models global south investment trace elements productivity econometric models |
| url | https://hdl.handle.net/10568/127226 |
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