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Beyond average: are the yield and income impacts of adopting drought-tolerant maize varieties heterogeneous?
Assessing the benefits of adopting climate-resilient farming technologies without considering the heterogeneity among farmers, may not provide a sufficient evidence base for policy. Yet, most empirical studies do not go beyond documenting the average effects of climate-resilient technologies. Using...
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Published in: | Climate and development 2024-01, Vol.16 (1), p.67-76 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Assessing the benefits of adopting climate-resilient farming technologies without considering the heterogeneity among farmers, may not provide a sufficient evidence base for policy. Yet, most empirical studies do not go beyond documenting the average effects of climate-resilient technologies. Using farm household survey data from Nigeria, this paper examines whether and to what extent the yield and income impacts of adopting drought-tolerant maize varieties are heterogeneous. We used the stratification-multilevel, matching-smoothing and smoothing-differencing econometric methods to analyse the heterogeneous effects of the varieties on maize yield, crop income and household income. Our results show that the adoption of drought-tolerant maize varieties significantly increased maize yield, crop and household income. In addition, we find that the yield and income impacts of the adoption of drought-tolerant maize varieties are heterogeneous and depend on the farm households' propensity to adopt the drought tolerant maize varieties. Specifically, we find that the estimated yield effects of the drought-tolerant maize varieties are larger for farmers with the highest propensity to adopt the varieties, which suggests a positive selection. Our results emphasize the need for proper targeting of interventions to incentivize the uptake of climate-resilient farming technologies in order to improve the outcomes of households in drought-prone areas. |
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ISSN: | 1756-5529 1756-5537 |
DOI: | 10.1080/17565529.2023.2178840 |