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Are farmers using cropping system intensification technologies experiencing poverty reduction in the Great Lakes Region of Africa?

dc.contributor.authorDontsop Nguezet, P. M.
dc.contributor.authorAinembabazi, J.H.
dc.contributor.authorAlene, A.
dc.contributor.authorAbdulaye, T.
dc.contributor.authorFeleke, S.
dc.contributor.authorNziguheba, G.
dc.contributor.authorKhonje, M.
dc.contributor.authorMignouna, D.
dc.contributor.authorOkafor, C.
dc.contributor.authorNjukwe, E.
dc.contributor.authorvan Asten, P.
dc.contributor.authorMapatano, S.
dc.contributor.authorVanlauwe, B.
dc.contributor.authorManyong, V.
dc.date.accessioned2022-04-21T09:09:00Z
dc.date.available2022-04-21T09:09:00Z
dc.date.issued2020-08
dc.identifier.citationDontsop Nguezet, P. M., Ainembabazi, J. H., Alene, A., Abdulaye, T., Feleke, S., Nziguheba, G., ... & Manyong, V. (2020). Are farmers using cropping system intensification technologies experiencing poverty reduction in the Great Lakes Region of Africa?. Food and Energy Security, 9(3): e205, 1-19.
dc.identifier.issn2048-3694
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7425
dc.description.abstractThis study evaluated the poverty reduction impact of the adoption of cropping system intensification (CSI) technologies using the endogenous switching regression (ESR) model in the Great Lakes region of Africa that comprises Burundi, eastern DR Congo, and Rwanda. The study data came from a household survey of 1,495 sample households interviewed between October and December 2014. Results indicated that the adoption of the CSI technologies had increased crop yield, crop income, and per capita consumption expenditure in the region, resulting in poverty reduction. Among the three countries, eastern DR Congo witnessed the highest poverty reduction (13% points) followed by Rwanda (6% points) and Burundi (2% points). Considering the adoption rate and size of the target population in each country at baseline, an estimated 180 thousand poor individuals had escaped poverty due to the adoption of the CSI technologies. This presents important evidence in favor of promoting CSI technologies as part of poverty reduction strategy. Given the large population size that remains poor even after adoption, we suggest that research‐based poverty reduction strategies such as the CSI technologies should be complemented with development interventions.
dc.format.extent1-19
dc.language.isoen
dc.subjectInnovation Adoption
dc.subjectAfrica
dc.subjectCropping Systems
dc.subjectIntensification
dc.subjectTechnology
dc.subjectPoverty
dc.subjectGreat Lakes
dc.titleAre farmers using cropping system intensification technologies experiencing poverty reduction in the Great Lakes Region of Africa?
dc.typeJournal Article
cg.contributor.crpMaize
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.crpPolicies, Institutions and Markets
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationAlliance for a Green Revolution in Africa
cg.contributor.affiliationOlam International Ltd., Uganda
cg.contributor.affiliationPlate-Forme Diobass au Kivu
cg.coverage.regionAfrica
cg.coverage.regionCentral Africa
cg.coverage.countryBurundi
cg.coverage.countryDemocratic Republic of the Congo
cg.coverage.countryRwanda
cg.coverage.hubSouthern Africa Hub
cg.coverage.hubEastern Africa Hub
cg.coverage.hubCentral Africa Hub
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.researchthemeNatural Resource Management
cg.researchthemeSocial Science and Agribusiness
cg.identifier.bibtexciteidDONTSOPNGUEZET:2020
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgribusiness
cg.iitasubjectAgronomy
cg.iitasubjectCrop Systems
cg.iitasubjectFood Security
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectPost-Harvesting Technology
cg.iitasubjectSmallholder Farmers
cg.iitasubjectValue Chains
cg.journalFood and Energy Security
cg.notesOpen Access Journal; Published online: 12 May 2020
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1002/fes3.205
cg.iitaauthor.identifierDONTSOP NGUEZET Paul Martin: 0000-0001-5098-1853
cg.iitaauthor.identifierJohn Herbert Ainembabazi: 0000-0001-6700-4522
cg.iitaauthor.identifierArega Alene: 0000-0002-2491-4603
cg.iitaauthor.identifierTahirou Abdoulaye: 0000-0002-8072-1363
cg.iitaauthor.identifierShiferaw Feleke: 0000-0002-0759-4070
cg.iitaauthor.identifierGenerose Nziguheba: 0000-0003-4227-2242
cg.iitaauthor.identifierDjana Babatima Mignouna: 0000-0002-4074-2928
cg.iitaauthor.identifierChris Okafor: 0000-0003-2162-6101
cg.iitaauthor.identifierPiet van Asten: 0000-0003-0584-3552
cg.iitaauthor.identifierbernard vanlauwe: 0000-0001-6016-6027
cg.futureupdate.requiredNo
cg.identifier.issue3
cg.identifier.volume9


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