dc.contributor.author | Ainembabazi, John H. |
dc.contributor.author | Abdoulaye, Tahirou |
dc.contributor.author | Feleke, S. |
dc.contributor.author | Alene, A. |
dc.contributor.author | Dontsop Nguezet, Paul M. |
dc.contributor.author | Ndayisaba, P.C. |
dc.contributor.author | Hicintuka, C. |
dc.contributor.author | Mapatano, S. |
dc.contributor.author | Manyong, Victor M. |
dc.date.accessioned | 2019-12-04T11:19:13Z |
dc.date.available | 2019-12-04T11:19:13Z |
dc.date.issued | 2018-08 |
dc.identifier.citation | Ainembabazi, J.H., Abdoulaye, T., Feleke, S., Alene, A., Dontsop-Nguezet, P.M., Ndayisaba, P.C., ... & Manyong, V. (2018). Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa. World Development, 108, 28-46. |
dc.identifier.issn | 0305-750X |
dc.identifier.uri | https://hdl.handle.net/20.500.12478/3421 |
dc.description | Published online: 2 April 2018 |
dc.description.abstract | 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. |
dc.description.sponsorship | Directorate-General for Development Cooperation and Humanitarian Aid, Belgium |
dc.description.sponsorship | International Fund for Agricultural Development |
dc.format.extent | 28-46 |
dc.language.iso | en |
dc.subject | Poverty |
dc.subject | Evaluation Techniques |
dc.subject | Farmers |
dc.subject | Households |
dc.subject | Agriculture Research-For- Development |
dc.subject | Technology |
dc.title | Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa |
dc.type | Journal Article |
dc.description.version | Peer Review |
cg.contributor.crp | Maize |
cg.contributor.crp | Policies, Institutions and Markets |
cg.contributor.crp | Roots, Tubers and Bananas |
cg.contributor.affiliation | International Institute of Tropical Agriculture |
cg.contributor.affiliation | Rwanda Agriculture Board |
cg.contributor.affiliation | Institut des Sciences Agronomiques du Burundi |
cg.contributor.affiliation | Démarche pour une interaction entre les organisations à la base et autres sources de savoir (DIOBASS), Democratic Republic of the Congo |
cg.coverage.region | Africa |
cg.coverage.region | Central Africa |
cg.coverage.country | Burundi |
cg.coverage.country | Congo, Dr |
cg.coverage.country | Rwanda |
cg.creator.identifier | Tahirou Abdoulaye: 0000-0002-8072-1363 |
cg.creator.identifier | Shiferaw Feleke: 0000-0002-0759-4070 |
cg.creator.identifier | Arega Alene: 0000-0002-2491-4603 |
cg.creator.identifier | DONTSOP NGUEZET Paul Martin: 0000-0001-5098-1853 |
cg.creator.identifier | Victor Manyong: 0000-0003-2477-7132 |
cg.researchtheme | SOCIAL SCIENCE & AGRIBUSINESS |
cg.isijournal | ISI Journal |
cg.authorship.types | CGIAR and developing country institute |
cg.iitasubject | Agribusiness |
cg.iitasubject | Impact Assessment |
cg.journal | World Development |
cg.howpublished | Formally Published |
cg.accessibilitystatus | Limited Access |
local.dspaceid | 95222 |
cg.targetaudience | Scientists |
cg.identifier.doi | http://dx.doi.org/10.1016/j.worlddev.2018.03.013 |