Agricultural technology adoption and household welfare: measurement and evidence
Previous studies on the adoption and impacts of improved crop varieties have relied on self-reported adoption status of the surveyed households. However, in the presence of weak variety maintenance and poorly functioning seed certification system, measurement errors in self-reported adoption status...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/103391 |
| _version_ | 1855538436429053952 |
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| author | Assfaw Wossen, Tesfamicheal Alene, A. Abdoulaye, Tahirou Feleke, S. Manyong, Victor M. |
| author_browse | Abdoulaye, Tahirou Alene, A. Assfaw Wossen, Tesfamicheal Feleke, S. Manyong, Victor M. |
| author_facet | Assfaw Wossen, Tesfamicheal Alene, A. Abdoulaye, Tahirou Feleke, S. Manyong, Victor M. |
| author_sort | Assfaw Wossen, Tesfamicheal |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Previous studies on the adoption and impacts of improved crop varieties have relied on self-reported adoption status of the surveyed households. However, in the presence of weak variety maintenance and poorly functioning seed certification system, measurement errors in self-reported adoption status can be considerable. This paper investigates how such measurement errors can lead to biased welfare estimates. Using DNA-fingerprinting based varietal identification as a benchmark, we find that misclassification in self-reported adoption status is considerable, with significant false negative and positive response rates. We empirically show that such measurement errors lead to welfare estimates that are biased towards zero and substantially understate the poverty reduction effects of adoption. While the empirical evidence suggests attenuation bias, our theoretical exposition and simulations demonstrate that upward bias and sign reversal effects are also possible. The results point to the need for improved monitoring of the diffusion process of improved varieties through innovative adoption data collection approaches to generate robust evidence for prioritizing and justifying investments in agricultural research and extension. |
| format | Journal Article |
| id | CGSpace103391 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1033912024-11-22T12:11:49Z Agricultural technology adoption and household welfare: measurement and evidence Assfaw Wossen, Tesfamicheal Alene, A. Abdoulaye, Tahirou Feleke, S. Manyong, Victor M. dna nigeria welfare Previous studies on the adoption and impacts of improved crop varieties have relied on self-reported adoption status of the surveyed households. However, in the presence of weak variety maintenance and poorly functioning seed certification system, measurement errors in self-reported adoption status can be considerable. This paper investigates how such measurement errors can lead to biased welfare estimates. Using DNA-fingerprinting based varietal identification as a benchmark, we find that misclassification in self-reported adoption status is considerable, with significant false negative and positive response rates. We empirically show that such measurement errors lead to welfare estimates that are biased towards zero and substantially understate the poverty reduction effects of adoption. While the empirical evidence suggests attenuation bias, our theoretical exposition and simulations demonstrate that upward bias and sign reversal effects are also possible. The results point to the need for improved monitoring of the diffusion process of improved varieties through innovative adoption data collection approaches to generate robust evidence for prioritizing and justifying investments in agricultural research and extension. 2019-08 2019-08-23T10:19:26Z 2019-08-23T10:19:26Z Journal Article https://hdl.handle.net/10568/103391 en Open Access Elsevier Assfaw Wossen, T., Alene, A., Abdoulaye, T., Feleke, S. & Manyong, V. (2019). Agricultural technology adoption and household welfare: measurement and evidence. Food Policy, 87, 1-9. |
| spellingShingle | dna nigeria welfare Assfaw Wossen, Tesfamicheal Alene, A. Abdoulaye, Tahirou Feleke, S. Manyong, Victor M. Agricultural technology adoption and household welfare: measurement and evidence |
| title | Agricultural technology adoption and household welfare: measurement and evidence |
| title_full | Agricultural technology adoption and household welfare: measurement and evidence |
| title_fullStr | Agricultural technology adoption and household welfare: measurement and evidence |
| title_full_unstemmed | Agricultural technology adoption and household welfare: measurement and evidence |
| title_short | Agricultural technology adoption and household welfare: measurement and evidence |
| title_sort | agricultural technology adoption and household welfare measurement and evidence |
| topic | dna nigeria welfare |
| url | https://hdl.handle.net/10568/103391 |
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