Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia
Farmers' adoption of improved crop varieties could increase yields in low-income countries. However, the presence of measurement error in household surveys poses a challenge to estimating true returns. Using the 2018/19 Ethiopia Socio-economic Survey, we analyze the impacts of how three sources of m...
| Autores principales: | , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/172965 |
| _version_ | 1855528185209290752 |
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| author | Jovanovic, Nina Ricker-Gilbert, Jacob |
| author_browse | Jovanovic, Nina Ricker-Gilbert, Jacob |
| author_facet | Jovanovic, Nina Ricker-Gilbert, Jacob |
| author_sort | Jovanovic, Nina |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Farmers' adoption of improved crop varieties could increase yields in low-income countries. However, the presence of measurement error in household surveys poses a challenge to estimating true returns. Using the 2018/19 Ethiopia Socio-economic Survey, we analyze the impacts of how three sources of measurement error: misperceptions of seed varieties, land area, and quantities harvested affect maize yields and input use. These data include DNA-fingerprinting of seed, GPS plot size information, and crop cuts that we compare to farmers’ self-reported estimates of these measures. Results indicate that the measurement error in self-reported seed variety adoption, especially from farmers who did not know they were using improved maize varieties, attenuates their estimated yield gains by 25 percentage points on average. The enhanced genetics of improved seed varieties accounts for a 41-percentage point yield increase over non-improved varieties, and increased input use accounts for a 30-percentage point gain for improved varieties on average.
JEL classification: D13, O13, N57, Q12, Q16 |
| format | Journal Article |
| id | CGSpace172965 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1729652025-10-26T12:52:33Z Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia Jovanovic, Nina Ricker-Gilbert, Jacob crop yield deoxyribonuclease seed technology adoption Farmers' adoption of improved crop varieties could increase yields in low-income countries. However, the presence of measurement error in household surveys poses a challenge to estimating true returns. Using the 2018/19 Ethiopia Socio-economic Survey, we analyze the impacts of how three sources of measurement error: misperceptions of seed varieties, land area, and quantities harvested affect maize yields and input use. These data include DNA-fingerprinting of seed, GPS plot size information, and crop cuts that we compare to farmers’ self-reported estimates of these measures. Results indicate that the measurement error in self-reported seed variety adoption, especially from farmers who did not know they were using improved maize varieties, attenuates their estimated yield gains by 25 percentage points on average. The enhanced genetics of improved seed varieties accounts for a 41-percentage point yield increase over non-improved varieties, and increased input use accounts for a 30-percentage point gain for improved varieties on average. JEL classification: D13, O13, N57, Q12, Q16 2025-05 2025-02-11T18:11:19Z 2025-02-11T18:11:19Z Journal Article https://hdl.handle.net/10568/172965 en Open Access Elsevier Jovanovic, Nina; and Ricker-Gilbert, Jacob. 2025. Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia. Journal of Development Economics 174(May 2025): 103466. https://doi.org/10.1016/j.jdeveco.2025.103466 |
| spellingShingle | crop yield deoxyribonuclease seed technology adoption Jovanovic, Nina Ricker-Gilbert, Jacob Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia |
| title | Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia |
| title_full | Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia |
| title_fullStr | Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia |
| title_full_unstemmed | Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia |
| title_short | Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia |
| title_sort | estimating the direct and indirect effects of improved seed adoption on yields evidence from dna fingerprinting crop cuts and self reporting in ethiopia |
| topic | crop yield deoxyribonuclease seed technology adoption |
| url | https://hdl.handle.net/10568/172965 |
| work_keys_str_mv | AT jovanovicnina estimatingthedirectandindirecteffectsofimprovedseedadoptiononyieldsevidencefromdnafingerprintingcropcutsandselfreportinginethiopia AT rickergilbertjacob estimatingthedirectandindirecteffectsofimprovedseedadoptiononyieldsevidencefromdnafingerprintingcropcutsandselfreportinginethiopia |