A constellation of science-based data driven products to improve financing of Sustainable Agri-Food Systems
Investing in agri-food systems in developing countries is often considered risky, specifically for private investors, and impacts are difficult to quantify leading to an insufficient allocation of capital to the sector. This is caused due to Information asymmetries and poor primary data between fina...
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
Accelerating Impacts of CGIAR Climate Research for Africa
2022
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/126667 |
| _version_ | 1855513345186070528 |
|---|---|
| author | Burra, Dharani Dhar Vyas, Shalika Molina, Luis Estrada-Carmona, Natalia Francesconi, Wendy Ramírez Villegas, Julián Armando Newman, Richard Grosjean, Godefroy |
| author_browse | Burra, Dharani Dhar Estrada-Carmona, Natalia Francesconi, Wendy Grosjean, Godefroy Molina, Luis Newman, Richard Ramírez Villegas, Julián Armando Vyas, Shalika |
| author_facet | Burra, Dharani Dhar Vyas, Shalika Molina, Luis Estrada-Carmona, Natalia Francesconi, Wendy Ramírez Villegas, Julián Armando Newman, Richard Grosjean, Godefroy |
| author_sort | Burra, Dharani Dhar |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Investing in agri-food systems in developing countries is often considered risky, specifically for private investors, and impacts are difficult to quantify leading to an insufficient allocation of capital to the sector. This is caused due to Information asymmetries and poor primary data between financial institutions and potential borrowers in rural financial markets. This results in inadequate risk, return, impact assessment models and high transaction costs for capital deployment.To overcome these challenges, we have developed the "OneSF Analyzer", a "constellation" of data-products designed to "de-risk" investments, through multidimensional assessments and monitoring of agri-food systems (productivity, environment, gender etc.), along with financial health assessments of the investee. in this report, we present the science, data, analytics, and the design components of agro-climatic hazards and their impacts on crop productivity (Phase 1) of "OneSF Analyzer". We also present phase wise planned improvements to the OneSF Analyzer both with regards to scalability/computation, as well as expanding insights to support pre-investment decisions by financial institutions. |
| format | Brief |
| id | CGSpace126667 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Accelerating Impacts of CGIAR Climate Research for Africa |
| publisherStr | Accelerating Impacts of CGIAR Climate Research for Africa |
| record_format | dspace |
| spelling | CGSpace1266672025-11-11T16:35:07Z A constellation of science-based data driven products to improve financing of Sustainable Agri-Food Systems Burra, Dharani Dhar Vyas, Shalika Molina, Luis Estrada-Carmona, Natalia Francesconi, Wendy Ramírez Villegas, Julián Armando Newman, Richard Grosjean, Godefroy agriculture climate-smart agriculture climate change sustainability Investing in agri-food systems in developing countries is often considered risky, specifically for private investors, and impacts are difficult to quantify leading to an insufficient allocation of capital to the sector. This is caused due to Information asymmetries and poor primary data between financial institutions and potential borrowers in rural financial markets. This results in inadequate risk, return, impact assessment models and high transaction costs for capital deployment.To overcome these challenges, we have developed the "OneSF Analyzer", a "constellation" of data-products designed to "de-risk" investments, through multidimensional assessments and monitoring of agri-food systems (productivity, environment, gender etc.), along with financial health assessments of the investee. in this report, we present the science, data, analytics, and the design components of agro-climatic hazards and their impacts on crop productivity (Phase 1) of "OneSF Analyzer". We also present phase wise planned improvements to the OneSF Analyzer both with regards to scalability/computation, as well as expanding insights to support pre-investment decisions by financial institutions. 2022-12 2023-01-06T17:14:57Z 2023-01-06T17:14:57Z Brief https://hdl.handle.net/10568/126667 en Limited Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Burra DD, Vyas S, Molina L, Estrada Carmona N, Francesconi W, Ramirez-Villegas J, Newman R, Grosjean G. 2022. A constellation of science-based data driven products to improve financing of Sustainable Agri-Food Systems. AICCRA Info Note. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). |
| spellingShingle | agriculture climate-smart agriculture climate change sustainability Burra, Dharani Dhar Vyas, Shalika Molina, Luis Estrada-Carmona, Natalia Francesconi, Wendy Ramírez Villegas, Julián Armando Newman, Richard Grosjean, Godefroy A constellation of science-based data driven products to improve financing of Sustainable Agri-Food Systems |
| title | A constellation of science-based data driven products to improve financing of Sustainable Agri-Food Systems |
| title_full | A constellation of science-based data driven products to improve financing of Sustainable Agri-Food Systems |
| title_fullStr | A constellation of science-based data driven products to improve financing of Sustainable Agri-Food Systems |
| title_full_unstemmed | A constellation of science-based data driven products to improve financing of Sustainable Agri-Food Systems |
| title_short | A constellation of science-based data driven products to improve financing of Sustainable Agri-Food Systems |
| title_sort | constellation of science based data driven products to improve financing of sustainable agri food systems |
| topic | agriculture climate-smart agriculture climate change sustainability |
| url | https://hdl.handle.net/10568/126667 |
| work_keys_str_mv | AT burradharanidhar aconstellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT vyasshalika aconstellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT molinaluis aconstellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT estradacarmonanatalia aconstellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT francesconiwendy aconstellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT ramirezvillegasjulianarmando aconstellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT newmanrichard aconstellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT grosjeangodefroy aconstellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT burradharanidhar constellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT vyasshalika constellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT molinaluis constellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT estradacarmonanatalia constellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT francesconiwendy constellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT ramirezvillegasjulianarmando constellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT newmanrichard constellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems AT grosjeangodefroy constellationofsciencebaseddatadrivenproductstoimprovefinancingofsustainableagrifoodsystems |