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dc.contributor.authorOyekale, Abayomi Samuel
dc.date.accessioned2017-09-27T13:17:55Z
dc.date.available2017-09-27T13:17:55Z
dc.date.issued2015
dc.identifier.citationOyekale, A.S. 2015. Factors explaining farm households’ access to and utilization of extreme climate forecasts in Sub-Saharan Africa (SSA). Environmental Economics, 6(1):91-103. [https://businessperspectives.org/component/zoo/factors-explaining-farm-households-access-to-and-utilization-of-extreme-climate-forecasts-in-sub-saharan-africa-ssa]en_US
dc.identifier.issn1998-6041
dc.identifier.issn1998-605X (Online)
dc.identifier.urihttp://hdl.handle.net/10394/25668
dc.description.abstractClimate change poses significant threat to African agriculture. This study analyzes the factors influencing access to and utilization of extreme weather forecasts in selected SSA countries. The data were collected from nine African countries and analyzed with descriptive statistics and probit regression. The results showed access to climate forecast was higher in East African countries where 65.95% received information on extreme climatic events. Majority of the farmers with access to climate information also received advice on its utilization. The main changes effected in farming systems due to forecast received included changes in the timing of farming activities, land management, crop planted and crop variety planted. Probabilities of access to and utilization of climate forecasts significantly increased (p < 0.10) with primary, secondary and tertiary education, among others. Initiatives that enhance farmers’ literacy, access to radio and ability to observe accurately changes in weather would further enhance their adaptation through climatic forecasts.en_US
dc.language.isoenen_US
dc.publisherBusiness Perspectivesen_US
dc.subjectClimate changeen_US
dc.subjectadaptationen_US
dc.subjectclimate forecasten_US
dc.subjectEast Africaen_US
dc.subjectWest Africaen_US
dc.subjectSub-Saharan Africaen_US
dc.titleFactors explaining farm households’ access to and utilization of extreme climate forecasts in Sub-Saharan Africa (SSA)en_US
dc.typeArticleen_US
dc.contributor.researchID24095176 - Oyekale, Abayomi Samuel


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