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    Agricultural technology adoption and household welfare: measurement and evidence

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    S19ArtAssfawwossenAgriculturalInthomNodev.pdf (1.045Mb)
    Date
    2019-08
    Author
    Assfaw Wossen, T.
    Alene, A.
    Abdoulaye, T.
    Feleke, S.
    Manyong, Victor M.
    Type
    Journal Article
    Target Audience
    Scientists
    Metadata
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    Abstract/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.
    https://dx.doi.org/10.1016/j.foodpol.2019.101742
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/6184
    Non-IITA Authors ORCID
    Tesfamicheal Wossen Assfawhttps://orcid.org/0000-0002-3672-2676
    Arega Alenehttps://orcid.org/0000-0002-2491-4603
    Tahirou Abdoulayehttps://orcid.org/0000-0002-8072-1363
    Shiferaw Felekehttps://orcid.org/0000-0002-0759-4070
    Victor Manyonghttps://orcid.org/0000-0003-2477-7132
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.1016/j.foodpol.2019.101742
    IITA Subjects
    Livelihoods
    Agrovoc Terms
    Dna; Nigeria; Welfare
    Regions
    Africa; West Africa
    Countries
    Nigeria
    Journals
    Food Policy
    Collections
    • Journal and Journal Articles4835
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