Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia
cg.authorship.types | CGIAR and advanced research institute | |
cg.contributor.affiliation | International Food Policy Research Institute | |
cg.contributor.affiliation | Purdue University | |
cg.contributor.donor | CGIAR Trust Fund | |
cg.contributor.initiative | National Policies and Strategies | |
cg.coverage.country | Ethiopia | |
cg.coverage.region | Africa | |
cg.coverage.region | Eastern Africa | |
cg.coverage.region | Sub-Saharan Africa | |
cg.creator.identifier | Nina Jovanovic: 0000-0002-1026-9981 | |
cg.howPublished | Formally Published | |
cg.identifier.dataurl | https://doi.org/10.1016/j.jdeveco.2025.103466 | |
cg.identifier.doi | https://doi.org/10.1016/j.jdeveco.2025.103466 | |
cg.identifier.project | IFPRI - Development Strategies and Governance Unit | |
cg.identifier.publicationRank | A Plus | |
cg.isijournal | ISI Journal | |
cg.issn | 0304-3878 | |
cg.issue | May 2025 | |
cg.journal | Journal of Development Economics | |
cg.reviewStatus | Peer Review | |
cg.subject.actionArea | Systems Transformation | |
cg.subject.impactArea | Nutrition, health and food security | |
cg.subject.impactArea | Poverty reduction, livelihoods and jobs | |
cg.volume | 174 | |
dc.contributor.author | Jovanovic, Nina | |
dc.contributor.author | Ricker-Gilbert, Jacob | |
dc.date.accessioned | 2025-02-11T18:11:19Z | |
dc.date.available | 2025-02-11T18:11:19Z | |
dc.identifier.uri | https://hdl.handle.net/10568/172965 | |
dc.title | Estimating the direct and indirect effects of improved seed adoption on yields: Evidence from DNA-fingerprinting, crop cuts, and self-reporting in Ethiopia | |
dcterms.abstract | 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 | |
dcterms.accessRights | Open Access | |
dcterms.audience | Scientists | |
dcterms.available | 2025-02-09 | |
dcterms.bibliographicCitation | 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 | |
dcterms.extent | 103466 | |
dcterms.issued | 2025-05 | |
dcterms.language | en | |
dcterms.license | CC-BY-4.0 | |
dcterms.publisher | Elsevier | |
dcterms.subject | crop yield | |
dcterms.subject | deoxyribonuclease | |
dcterms.subject | seed | |
dcterms.subject | technology adoption | |
dcterms.type | Journal Article |
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