Analysis of Farmers’ Perceptions of the Effects of Climate Change in Kenya

dc.contributor.authorNg’ang’a, S. I.
dc.contributor.authorNdambiri., H. K
dc.contributor.authorRitho, C.
dc.contributor.authorMbogoh, S.G.
dc.contributor.authorNyangweso, P.M.
dc.contributor.authorMuiruri, E. J.
dc.contributor.authorKipsat, M. J.
dc.contributor.authorKubowon, P. C.
dc.contributor.authorCherotwo, F. H.
dc.contributor.authorOmboto, P. I.
dc.date.accessioned2019-05-22T08:31:07Z
dc.date.available2019-05-22T08:31:07Z
dc.date.issued2012
dc.description.abstractA cross-sectional analysis was carried out to evaluate how farmers in Kyuso District have perceived climate change. Data was collected from 246 farmers from six locations sampled out through a multistage and simple random sampling procedure. The logistic regression analysis was carried out to assess factors influencing farmers’ perceptions of climate change. The analysis revealed that 94% of farmers in Kyuso District had a perception that climate was changing. In this regard, age of the household head, gender, education, farming experience, household size, distance to the nearest input/output market, access to irrigation water, local agro-ecology, access to information on climate change, access to extension services, off farm income and change in temperature and precipitation were found to have significant influence on the probability of farmers to perceive climate change. Since the level of perception to climate change revealed by the study was found to be high (94%), the study suggests that more policy efforts should thus be geared towards helping farmers to adapt to climate changeen_US
dc.identifier.urihttps://karuspace.karu.ac.ke/handle/20.500.12092/2259
dc.publisherMoi University Press,en_US
dc.subjectClimate changeen_US
dc.subjectPerceptionsen_US
dc.subjectLogistic regression modelen_US
dc.subjectKyuso District.en_US
dc.titleAnalysis of Farmers’ Perceptions of the Effects of Climate Change in Kenyaen_US
dc.title.alternativeThe Case of Kyuso Districten_US
dc.typeArticleen_US

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