Muricho, G and Lokossou, J and Melesse, M B and Affognon, H and Vabi, M B and Desmae, H and Yila, J and Ahmed, B and Ajeigbe, H A and Akpo, E and Ojiewo, C O (2024) Adoption and yield impacts of improved groundnut varieties in Nigeria: Application of the potential outcomes framework. African Journal of Agricultural and Resource Economics, 19 (3). pp. 246-259. ISSN 1993-3738
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Abstract
Using the potential outcomes framework, we estimate the influence of the adoption gap, adoption drivers and impact of adopting improved groundnut varieties (IGVs) on groundnut yield among smallholder farmers in Nigeria. The results show a significant 34% adoption gap attributable to the lack of exposure of farmers to IGVs. With full exposure, the adoption rate could increase from the current 31% to about 65%. To close this adoption gap, policy options that empower agricultural extension staff to visit farmers more frequently, engage farmers in the development, testing and scaling activities of agricultural technology, and encourage farmers to join farmer groups are critical. Similarly, enabling households to access credit and input and output markets will lead to the increased probability of adopting IGVs. The study furthermore revealed a significantly positive impact of 148 kg/ha on the yield of IGVs, which represents a 20% average treatment effect on the treated (ATT) and a 22% average treatment effect on the untreated (ATU).
| Item Type: | Article |
|---|---|
| Divisions: | Research Program : East & Southern Africa Research Program : West & Central Africa |
| CRP: | UNSPECIFIED |
| Uncontrolled Keywords: | adoption gap, groundnut, impact assessment, Nigeria, productivity |
| Subjects: | Others > Impact Assessment Others > Nigeria Others > Crop Yield Mandate crops > Groundnut |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 13 Aug 2025 08:37 |
| Last Modified: | 13 Aug 2025 08:38 |
| URI: | http://oar.icrisat.org/id/eprint/13272 |
| Official URL: | https://afjare.org/adoption-and-yield-impacts-of-i... |
| Projects: | UNSPECIFIED |
| Funders: | UNSPECIFIED |
| Acknowledgement: | We gratefully acknowledge the financial support for this research from the Bill and Melinda Gates Foundation (BMGF), Seattle, WA [grant number OPP1114827 and OPP1198373] and the United States Agency for International Development (USAID), Washington Bureau. |
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