Climate-Smart Agriculture Technologies and Determinants of Farmers’ Adoption Decisions in the Great Rift Valley of Ethiopia

cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationHaramaya Universityen
cg.contributor.affiliationInternational Maize and Wheat Improvement Centeren
cg.contributor.affiliationEthiopian Institute of Agricultural Researchen
cg.contributor.donorWorld Banken
cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.coverage.regionSub-Saharan Africa
cg.creator.identifierDr. Theodrose Sisay (PhD): 0000-0003-2554-9625
cg.creator.identifierKindie Tesfaye: 0000-0002-7201-8053
cg.creator.identifierMengistu Ketema: 0000-0001-9971-3657
cg.creator.identifierR. Nigussie-Dechassa: 0000-0001-5980-4773
cg.identifier.doihttps://doi.org/10.3390/su15043471en
cg.isijournalISI Journalen
cg.issn2071-1050en
cg.issue4en
cg.journalSustainabilityen
cg.reviewStatusPeer Reviewen
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.impactAreaNutrition, health and food security
cg.subject.sdgSDG 2 - Zero hungeren
cg.subject.sdgSDG 13 - Climate actionen
cg.subject.sdgSDG 15 - Life on landen
cg.volume15en
dc.contributor.authorSisay, Theodroseen
dc.contributor.authorTesfaye, Kindieen
dc.contributor.authorKetema, Mengistuen
dc.contributor.authorDechassa, Nigussieen
dc.contributor.authorGetnet, Mezegebuen
dc.date.accessioned2023-04-19T13:47:19Zen
dc.date.available2023-04-19T13:47:19Zen
dc.identifier.urihttps://hdl.handle.net/10568/130046
dc.titleClimate-Smart Agriculture Technologies and Determinants of Farmers’ Adoption Decisions in the Great Rift Valley of Ethiopiaen
dcterms.abstractAgriculture is a sector that is very vulnerable to the effects of climate change while contributing to anthropogenic greenhouse gas (GHG) emissions to the atmosphere. Therefore, applying Climate-Smart Agriculture (CSA) technologies and practices (referee hereafter as CSA technologies) that can sustainably boost productivity, improve resilience, and lower GHG emissions are crucial for a climate resilient agriculture. This study sought to identify the CSA technologies used by farmers and assess adoption levels and factors that influence them. A cross-sectional survey was carried out gather information from 384 smallholder farmers in the Great Rift Valley (GRV) of Ethiopia. Data were analyzed using percentage, chi-square test, t test, and the multivariate probit model. Results showed that crop diversification, agroforestry, and integrated soil fertility management were the most widely practiced technologies. The results of the chi-square and t tests showed that there are differences and significant and positive connections between adopters and non-adopters based on various attributes. The chi-square and t test results confirmed that households who were older and who had higher incomes, greater credit access, climate information access, better training, better education, larger farms, higher incomes, and more frequent interactions with extension specialists had positive and significant associations with CSA technology adopters. The model result showed that age, sex, and education of the head; farmland size; livestock ownership; income; access to credit; access to climate information; training; and extension contact influenced the adoption of CSA technologies. Therefore, considering barriers to the adoption of CSA technologies in policy and action is anticipated to support smallholder farmers in adapting to climate change while lowering GHG emissions.en
dcterms.accessRightsOpen Access
dcterms.available2023-02-14
dcterms.bibliographicCitationSisay T, Tesfaye K, Ketema M, Dechassa N, Getnet M. 2023. Climate-Smart Agriculture Technologies and Determinants of Farmers’ Adoption Decisions in the Great Rift Valley of Ethiopia. Sustainability 15(4):3471.en
dcterms.extent3471en
dcterms.issued2023-02-14
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherMDPIen
dcterms.subjectclimate-smart agricultureen
dcterms.subjecttechnologyen
dcterms.subjectfarmersen
dcterms.subjectdecision makingen
dcterms.subjectadaptationen
dcterms.typeJournal Article

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