KEYWORDS:climate change, awareness, adaptation, decision, Southwest Nigeria
ABSTRACT:This study provided empirical information on determinants of climate change adaptation among farming households in Southwest Nigeria using Heckman’s double stage selection approach. Three states were randomly selected across southwest Nigeria: Ekiti, Ogun and Oyo States. Data were collected in two phases. The first phase was rapid rural appraisal of the selected states while the second phase was detailed survey using a structured questionnaire administered to 360 randomly sampled farm units. Data collected were analysed using descriptive statistics and Heckman’s double stage selection model. The result of the analysis showed that there was relatively high level of awareness of climate change among the farmers. Major sources of information about climate change among the farmers include personal observation and extension agents. From the result of the Heckman double stage selection model, variables that significantly influenced the first decision of whether or not to adapt to climate change include: gender, experience, extension visits, farm size, income, credit access, number of farm labourers and dependency ratio. On the other hand, variables that significantly influenced extent of adaptation to climate change include: gender, experience, education, extension visits, farm size, income, credit access, number of farm labourers and dependency ratio. Based on the findings, the study therefore recommends farmers’ sensitization programmes on indicators of climate most especially those indicators with low indices. Effort should be made by government at all levels towards capacity building of the farmers through improved education, extension visits, increased farm size, increase in income and improved access to credit.
Please Cite this Article as:
Taofeeq A. AMUSA, Chukwuemeka U. OKOYE, Anselm A. ENETE (2015) Determinants Of Climate Change Adaptation Among Farm Households In Southwest Nigeria: A Heckman Double Stage Selection Approach. Review of Agricultural and Applied Economics. XVIII (Number 2, 2015): 3-11. doi: 10.15414/raae.2015.18.02.03-11
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