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An Evaluation Of Farmers’ Perceptions Of And Adaptation To The Effects Of Climate Change In Kenya

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  • Ndambiri, Hilary K.
  • Ritho, Cecilia N.
  • Mbogoh, Stephen G.

Abstract

The study was carried out to evaluate how farmers in Kyuso District have perceived and adapted to climate change. Data was collected from 246 farmers from six locations sampled out through a multistage and simple random sampling procedure. The Heckman probit model was fitted to the data to avoid sample selection bias since not every farmer who may perceive climate change responds by adapting. The analysis revealed that 94% of farmers in Kyuso District had a perception that climate was changing and as a result, 85% of these farmers had responded by adapting. In this regard, age of the household head, gender, education, farm experience, household size, distance to the nearest market, access to irrigation water, local agro-ecology, on and off farm income, access to information on climate change through extension services, access to credit, changes in temperature and precipitation were found to have significant influence on the probability of farmers to perceive and/or adapt to climate change. With the level of perception to climate change being more than that of adaptation, the study suggests that more policy efforts should be geared towards helping farmers to adapt to climate change.

Suggested Citation

  • Ndambiri, Hilary K. & Ritho, Cecilia N. & Mbogoh, Stephen G., 2013. "An Evaluation Of Farmers’ Perceptions Of And Adaptation To The Effects Of Climate Change In Kenya," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 1(1), pages 1-22, July.
    • Handle: RePEc:ags:ijfaec:156144
    DOI: 10.22004/ag.econ.156144
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    1. Thomas B. Yaméogo & William M. Fonta & Tobias Wünscher, 2018. "Can Social Capital influence Smallholder Farmers’ Climate-Change Adaptation Decisions? Evidence from Three Semi-Arid Communities in Burkina Faso, West Africa," Social Sciences, MDPI, vol. 7(3), pages 1-20, February.
    2. Abid Hussain & Golam Rasul & Bidhubhusan Mahapatra & Shahriar Wahid & Sabarnee Tuladhar, 2018. "Climate change-induced hazards and local adaptations in agriculture: a study from Koshi River Basin, Nepal," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(3), pages 1365-1383, April.
    3. Sifat E. Rabbi & Reza Shant & Sourav Karmakar & Azhar Habib & Jürgen P. Kropp, 2021. "Regional mapping of climate variability index and identifying socio-economic factors influencing farmer’s perception in Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 11050-11066, July.
    4. Stefano Mainardi, 2021. "Preference heterogeneity, neighbourhood effects and basic services: logit kernel models for farmers’ climate adaptation in Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6869-6912, May.
    5. Teresiah Wairimu Ng’ang’a & Jeanne Y. Coulibaly & Todd A. Crane & Charles K. Gachene & Geoffrey Kironchi, 2020. "Propensity to adapt to climate change: insights from pastoralist and agro-pastoralist households of Laikipia County, Kenya," Climatic Change, Springer, vol. 161(3), pages 393-413, August.

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