Determinants of Smallholder Farmers’ Choice of Climate Smart Agriculture Practices to Adapt to Climate Change in Masaba South Sub-County, Kisii, Kenya
Jared O. Nyang’au *
Africa Center of Excellence for Climate Smart Agriculture and Biodiversity Conservation, Haramaya University, P.O. Box 138, Dire Dawa, Ethiopia and Kenya Plant Health Inspectorate Service (KEPHIS), P.O. Box 49592-00100, Nairobi, Kenya.
Jema H. Mohamed
School of Agricultural Economics and Agribusiness Management, College of Agriculture and Environmental Sciences, Haramaya University, P.O. Box 138, Dire Dawa, Ethiopia.
Nelson Mango
International Centre for Tropical Agriculture (CIAT), P.O. Box MP228, Mt. Pleasant, Harare, Zimbabwe.
Clifton Makate
Africa Center of Excellence for Climate Smart Agriculture and Biodiversity Conservation, Haramaya University, P.O. Box 138, Dire Dawa, Ethiopia.
Alex N. Wangeci
Kenya Plant Health Inspectorate Service (KEPHIS), P.O. Box 49592-00100, Nairobi, Kenya and Sydney Institute of Agriculture, University of Sydney, NSW 2006, Australia.
Stephen O. Ahenda
Kenya Plant Health Inspectorate Service (KEPHIS), P.O. Box 49592-00100, Nairobi, Kenya.
*Author to whom correspondence should be addressed.
Abstract
Aims: This study evaluated determinants that influence choice of Climate-Smart Agricultural (CSA) practices among smallholder farmers in Masaba South sub-county, Kisii, Kenya.
Study Design: This study used a multivariate probit model to evaluate determinants that influence farmers’ choice of CSA practices.
Place and Duration of Study: Masaba South sub-county, Kisii, Kenya between the second week of April 2019 and the last week of May 2019.
Methodology: Quantitative and qualitative data were collected using a semi-structured questionnaire from 196 households, 3 focused group discussions and 7 key informant interviews. Information such as socio-economic, land ownership, climate change perception, crop production practices and institutional characteristics were collected from the households.
Results: The results showed that crop diversification, change of crop varieties and crop rotation and/or mixed cropping are the dominant adaptation strategies in the study area. Access to credit, farm income, climate change perception and household size have a significant positive influence on adoption of most CSA practices. Small-sized farms, lack of access to extension services, level of education and inaccessibility to weather and climate information were major barriers influencing adoption of CSA practices.
Conclusion: To reduce vulnerability of smallholder farmers to impacts of climate variability and change, the study recommends the need to enhance increased access to extension services and timely dissemination of climate information to farmers in the form they can easily understand and decode.
Keywords: Climate-smart agriculture, determinants, adoption, adaption, climate change