Determinants of climate change adaptation strategies and its impact on the net farm income of rice farmers in south-west Nigeria |
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| Institution: | 1. Research Group Climate Change and Security (CLISEC), Institute of Geography, University of Hamburg, Grindelberg 7, 20144 Hamburg, Germany;2. School of Integrated Climate System Sciences (SICSS), University of Hamburg, Grindelberg 5, 20144 Hamburg, Germany;3. Research Unit Sustainability and Global Change, University of Hamburg, Grindelberg 5, 20144 Hamburg, Germany;1. Queensland University of Technology, Brisbane, Australia;2. Eastern University, Sri Lanka;3. Agriculture Victoria, Department of Jobs, Precincts and Regions, Victoria, Australia;4. Urban Institute and Department of Civil Engineering, Kyushu University, Japan;5. South Eastern University, Sri Lanka;1. Department of Economics, Vietnam National University of Forestry, Vietnam;2. Department of Agricultural and Applied Economics, University of the Philippines Los Baños, Philippines;3. Department of Social Forestry and Forest Governance, University of the Philippines Los Baños, Philippines;4. Climate Change Scientist, World Agroforestry Centre (ICRAF), Vietnam;1. College of Economics & Management, Northwest A&F University, 3 Taicheng Road, Yangling 712100, Shaanxi, China;2. Department of Agriculture Economics and Management, School of Management, Zhejiang University Hangzhou, China;3. School of Management, Northwestern Polytechnical University, Xi’an China;4. Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127 China;5. College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China;1. Africa Centre of Excellence (ACE) for Climate Smart Agriculture and Biodiversity Conservation (Climate SABC), Haramaya University, P.O. Box 138, Dire Dawa, Ethiopia;2. Health Systems and Health Economics, School of Public Health, Curtin University, Box U1987, Perth, WA, 6845, Australia;3. International Centre for Tropical Agriculture (CIAT), P.O.BOX MP 228, Mount Pleasant, Harare, Zimbabwe;4. Department of Agriculture Economics and Extension, University of Zimbabwe, P.O.BOX MP 167, Mount Pleasant, Harare, Zimbabwe |
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| Abstract: | A multivariate probit (MVP) model was used to analyse the determinants of strategies adopted for adapting to climate change in a sample of smallholder rice farmers in south-west Nigeria. An efficient endogenous switching regression model (ESRM) was used to estimate the impact of climate change adaptation strategy on the net income of rice farmers. The MVP results show that the socio-economic factors, the institutional factors, and locational variables of some households statistically influenced the choice of climate change adaptation strategies employed. Complementarities among all the adaptation strategies used by the farmers were revealed by the positive pair-wise correlation matrix of the MVP model. The study also indicated that farmers affected by prolonged drought and incidences of flood were more likely to adopt adaptation strategies on their farmlands. The ESRM treatment effect indicated that the average net income per rice farm of those who adopted the strategies was significantly higher than that of those who did not. Thus, the government, stakeholders, and donor agencies must provide capacity-building innovations related to agricultural extension systems and climate change education through information and communication technologies. This investment in education is essential for development and would encourage farmers to adopt appropriate climate change adaptation strategies. |
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| Keywords: | Rice production Climate change Adaptation strategies MVP ESRM |
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