Impacts of a digital credit-insurance bundle for landless farmers: Evidence from a cluster randomized trial in Odisha, India
Smallholder farmers often lack documented land rights to serve as collateral for formal loans, and their livelihoods are inextricably linked to increasingly variable weather conditions. Resulting credit and risk constraints prevent them from making potentially profitable investments in their farms....
| Autores principales: | , , , |
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| Formato: | Conference Paper |
| Lenguaje: | Inglés |
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Agricultural and Applied Economics Association
2023
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| Acceso en línea: | https://hdl.handle.net/10568/141944 |
| _version_ | 1855529394459639808 |
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| author | Kramer, Berber Pattnaik, Subhransu Ward, Patrick S. Xu, Yingchen |
| author_browse | Kramer, Berber Pattnaik, Subhransu Ward, Patrick S. Xu, Yingchen |
| author_facet | Kramer, Berber Pattnaik, Subhransu Ward, Patrick S. Xu, Yingchen |
| author_sort | Kramer, Berber |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Smallholder farmers often lack documented land rights to serve as collateral for formal loans, and their livelihoods are inextricably linked to increasingly variable weather conditions. Resulting credit and risk constraints prevent them from making potentially profitable investments in their farms. We implemented a randomized evaluation of the impacts of KhetScore, an innovative credit scoring methodology that uses digital technologies and in particular remote sensing to unlock credit and insurance for smallholders including landless farmers in Odisha, a state in eastern India. In our treatment group, where we offered loans and insurance based on the KhetScore methodology, farmers - and especially women - were more likely to purchase insurance, renew insurance coverage in subsequent years, and borrow from formal sources without substituting formal loans for informal loans. Despite increased borrowing, households in the treatment group faced less difficulty in repaying loans, suggesting that KhetScore loans, bundled with crop insurance, transferred risk and eased the burden of repayment. Moreover, the treatment increased agricultural revenues during the monsoon (kharif) season and reduced costs in the dry (rabi) season, enhancing profitability in both seasons. Positive and significant effects are found not only among baseline credit unconstrained farmers but also quantity rationed farmers, suggesting that KhetScore loans can help overcome supply-side credit constraints. Finally, women in the treatment group reported significantly higher levels of empowerment and mental health, manifested in increased participation in household decision-making and reduced feelings of stress, than women in the control group. In conclusion, digital technologies can contribute substantially to expansion in agricultural credit access, risk management, resilience, and well-being among marginalized landless farmers. |
| format | Conference Paper |
| id | CGSpace141944 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Agricultural and Applied Economics Association |
| publisherStr | Agricultural and Applied Economics Association |
| record_format | dspace |
| spelling | CGSpace1419442024-11-13T12:23:05Z Impacts of a digital credit-insurance bundle for landless farmers: Evidence from a cluster randomized trial in Odisha, India Kramer, Berber Pattnaik, Subhransu Ward, Patrick S. Xu, Yingchen credit impact assessment insurance smallholders Smallholder farmers often lack documented land rights to serve as collateral for formal loans, and their livelihoods are inextricably linked to increasingly variable weather conditions. Resulting credit and risk constraints prevent them from making potentially profitable investments in their farms. We implemented a randomized evaluation of the impacts of KhetScore, an innovative credit scoring methodology that uses digital technologies and in particular remote sensing to unlock credit and insurance for smallholders including landless farmers in Odisha, a state in eastern India. In our treatment group, where we offered loans and insurance based on the KhetScore methodology, farmers - and especially women - were more likely to purchase insurance, renew insurance coverage in subsequent years, and borrow from formal sources without substituting formal loans for informal loans. Despite increased borrowing, households in the treatment group faced less difficulty in repaying loans, suggesting that KhetScore loans, bundled with crop insurance, transferred risk and eased the burden of repayment. Moreover, the treatment increased agricultural revenues during the monsoon (kharif) season and reduced costs in the dry (rabi) season, enhancing profitability in both seasons. Positive and significant effects are found not only among baseline credit unconstrained farmers but also quantity rationed farmers, suggesting that KhetScore loans can help overcome supply-side credit constraints. Finally, women in the treatment group reported significantly higher levels of empowerment and mental health, manifested in increased participation in household decision-making and reduced feelings of stress, than women in the control group. In conclusion, digital technologies can contribute substantially to expansion in agricultural credit access, risk management, resilience, and well-being among marginalized landless farmers. 2023-12-11 2024-05-20T20:07:34Z 2024-05-20T20:07:34Z Conference Paper https://hdl.handle.net/10568/141944 en https://hdl.handle.net/10568/136959 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4014732 https://hdl.handle.net/10568/117089 https://doi.org/10.2499/p15738coll2.136692 Open Access Agricultural and Applied Economics Association Kramer, Berber; Pattnaik, Subhransu; Ward, Patrick S.; and Xu, Yingchen. 2023. Impacts of a digital credit-insurance bundle for landless farmers: Evidence from a cluster randomized trial in Odisha, India. Presented at the 2024 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2024, San Antonio, Texas. |
| spellingShingle | credit impact assessment insurance smallholders Kramer, Berber Pattnaik, Subhransu Ward, Patrick S. Xu, Yingchen Impacts of a digital credit-insurance bundle for landless farmers: Evidence from a cluster randomized trial in Odisha, India |
| title | Impacts of a digital credit-insurance bundle for landless farmers: Evidence from a cluster randomized trial in Odisha, India |
| title_full | Impacts of a digital credit-insurance bundle for landless farmers: Evidence from a cluster randomized trial in Odisha, India |
| title_fullStr | Impacts of a digital credit-insurance bundle for landless farmers: Evidence from a cluster randomized trial in Odisha, India |
| title_full_unstemmed | Impacts of a digital credit-insurance bundle for landless farmers: Evidence from a cluster randomized trial in Odisha, India |
| title_short | Impacts of a digital credit-insurance bundle for landless farmers: Evidence from a cluster randomized trial in Odisha, India |
| title_sort | impacts of a digital credit insurance bundle for landless farmers evidence from a cluster randomized trial in odisha india |
| topic | credit impact assessment insurance smallholders |
| url | https://hdl.handle.net/10568/141944 |
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