A meta-analysis of the adoption of agricultural technology in Sub-Saharan Africa

cg.authorship.typesCGIAR and advanced research institute
cg.contributor.affiliationInternational Fund for Agricultural Development
cg.contributor.affiliationUnited States Forest Service
cg.contributor.affiliationWorld Agroforestry Centre
cg.contributor.affiliationCornell University
cg.contributor.affiliationBioversity International
cg.contributor.donorCGIAR Trust Fund
cg.contributor.initiativeLivestock and Climate
cg.coverage.regionAfrica
cg.creator.identifierTodd Rosenstock: 0000-0002-1958-9500
cg.creator.identifierChristine Lamanna: 0000-0002-6773-7352
cg.howPublishedFormally Published
cg.identifier.doihttps://doi.org/10.1371/journal.pstr.0000018
cg.issn2767-3197
cg.issue7
cg.journalPLOS Sustainability and Transformation
cg.numbere0000018
cg.reviewStatusPeer Review
cg.subject.alliancebiovciatCAPACITY DEVELOPMENT
cg.subject.alliancebiovciatFOOD SECURITY
cg.subject.alliancebiovciatINFORMATION SYSTEMS
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactAreaPoverty reduction, livelihoods and jobs
cg.subject.sdgSDG 1 - No poverty
cg.subject.sdgSDG 2 - Zero hunger
cg.subject.sdgSDG 10 - Reduced inequalities
cg.volume1
dc.contributor.authorArslan, Aslihan
dc.contributor.authorFloress, Kristin
dc.contributor.authorLamanna, Christine
dc.contributor.authorLipper, Leslie
dc.contributor.authorRosenstock, Todd S.
dc.date.accessioned2022-07-06T13:33:24Zen
dc.date.available2022-07-06T13:33:24Zen
dc.identifier.urihttps://hdl.handle.net/10568/120051
dc.titleA meta-analysis of the adoption of agricultural technology in Sub-Saharan Africaen
dcterms.abstractBoth global poverty and hunger have increased in recent years, endangering progress towards accomplishing Sustainable Development Goals (SDGs) 1 and 2. The regression has been most pronounced in Sub-Saharan Africa (SSA). Meeting the SDG targets requires achieving resilient farm productivity. Although many farm management technologies exist to improve yields, farmers in SSA largely have not adopted these approaches. A long-standing literature about technology adoption identifies multiple hypotheses as to why farmers may or may not adopt new agricultural technologies, ulminating in numerous micro-econometric studies. We analyse a metadata set capturing the findings of 164 published studies specifi cally focusing on SSA and show that 20 out of 38, or 53%, of the determinants commonly believed to influence technology adoption lack empirical support. Eighteen determinants primarily related to information access, wealth, group membership and social capital, and land tenure—consistently influence adoption across studies. Wealth remains a significant determinant of fertilizer adoption, despite long-running subsidies in most countries, although it is decoupled from the adoption of improved seeds and alternative crop and nutrient man agement technologies. We highlight the foundational determinants of adoption and offer guidance to design effective interventions that can decrease poverty and hunger towards 2030.en
dcterms.accessRightsOpen Access
dcterms.audienceScientists
dcterms.available2022-07-01
dcterms.bibliographicCitationArslan, A.; Floress, K.; Lamanna, C.; Lipper, L.; Rosenstock, T.S. (2022) A meta-analysis of the adoption of agricultural technology in Sub-Saharan Africa. PLOS Sustainability and Transformation 1(7): e0000018. ISSN: 2767-3197en
dcterms.extent17 p.
dcterms.issued2022-07-01
dcterms.languageen
dcterms.licenseCC0-1.0
dcterms.publisherPublic Library of Science
dcterms.subjecttechnology assessmenten
dcterms.subjectaccess to informationen
dcterms.subjectpoverty reductionen
dcterms.subjectagricultural innovation systemsen
dcterms.subjectfood securityen
dcterms.subjectevaluación de tecnologíasen
dcterms.subjectacceso a la informaciónen
dcterms.subjectreducción de la pobrezaen
dcterms.typeJournal Article

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