Climate-smart agriculture technologies and determinants of farmers’ adoption decisions in the Great Rift Valley of Ethiopia

dc.creatorSisay, T.
dc.creatorFantaye, K. T.
dc.creatorKetema, M.
dc.creatorNigussie Dechassa
dc.creatorGetnet, M.
dc.date2023-03-16T00:46:12Z
dc.date2023-03-16T00:46:12Z
dc.date2023
dc.date.accessioned2023-07-17T20:10:29Z
dc.date.available2023-07-17T20:10:29Z
dc.identifierhttps://hdl.handle.net/10883/22547
dc.identifier10.3390/su15043471
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514290
dc.descriptionAgriculture 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.
dc.languageEnglish
dc.publisherMDPI
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source4
dc.source15
dc.source2071-1050
dc.sourceSustainability (Switzerland)
dc.source3471
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectSmallholder Farmers
dc.subjectMultivariate Probit Model
dc.subjectCLIMATE CHANGE
dc.subjectCLIMATE-SMART AGRICULTURE
dc.subjectPROBIT ANALYSIS
dc.subjectSMALLHOLDERS
dc.subjectSustainable Agrifood Systems
dc.titleClimate-smart agriculture technologies and determinants of farmers’ adoption decisions in the Great Rift Valley of Ethiopia
dc.typeArticle
dc.typePublished Version
dc.coverageEthiopia
dc.coverageBasel (Switzerland)


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