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    Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa

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    S18ArtAinembabaziBenefitsInthomDev.pdf (740.5Kb)
    Date
    2018-08
    Author
    Ainembabazi, John H.
    Abdoulaye, Tahirou
    Feleke, S.
    Alene, A.
    Dontsop Nguezet, Paul M.
    Ndayisaba, P.C.
    Hicintuka, C.
    Mapatano, S.
    Manyong, Victor M.
    Type
    Journal Article
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    It remains a challenge for agricultural research-for-development (AR4D) institutions to demonstrate to donors which technologies contribute significantly to poverty reduction due to a multitude of impact pathways. We attempt to overcome this challenge by utilizing the potential outcomes framework and quantile treatment effects analytical approaches applied on panel household data collected from Central Africa. Our findings show that adoption of AR4D technologies reduced the probability of being poor by 13 percentage points. A large share of this poverty reduction is causally attributable to adoption of improved crop varieties (32%) followed by adoption of post-harvest technologies (28%) and crop and natural resource management (26%), with the rest 14% attributable to unidentified and/or unmeasured intermediate outcomes or factors. The findings further indicate that relatively poor farm households benefit from adopting improved crop varieties more than the relatively better-off households. Correspondingly, the relatively better off households benefit from adopting post-harvest technologies enhancing crop commercialization much more than the relatively poor households. The findings reveal interesting policy implications for successful targeting of agricultural interventions aimed at reducing rural poverty.
    http://dx.doi.org/10.1016/j.worlddev.2018.03.013
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/3421
    Non-IITA Authors ORCID
    Tahirou Abdoulayehttps://orcid.org/0000-0002-8072-1363
    Shiferaw Felekehttps://orcid.org/0000-0002-0759-4070
    Arega Alenehttps://orcid.org/0000-0002-2491-4603
    DONTSOP NGUEZET Paul Martinhttps://orcid.org/0000-0001-5098-1853
    Victor Manyonghttps://orcid.org/0000-0003-2477-7132
    Digital Object Identifier (DOI)
    http://dx.doi.org/10.1016/j.worlddev.2018.03.013
    Research Themes
    SOCIAL SCIENCE & AGRIBUSINESS
    IITA Subjects
    Agribusiness; Impact Assessment
    Agrovoc Terms
    Poverty; Evaluation Techniques; Farmers; Households; Agriculture Research-For- Development; Technology
    Regions
    Africa; Central Africa
    Countries
    Burundi; Congo, Dr; Rwanda
    Journals
    World Development
    Collections
    • Journal and Journal Articles4835
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