Adaptation; Climate change and variability; Multinomial Logit Regression model; Perception
This study used multinomial logit regression to determine the factors that influence farmers’ choice of adaptation strategies to climate change and variability of farmers in Savelugu-Nanton district, Northern region of Ghana. A simple random sampling was used to select 180 farmers. The data was analysed using a Multinomial logit regression model. From the results, the level of climate change and variability awareness was high and the adaptation strategies identified were mixed cropping, change crop varieties, changing planting time/date, soil conservation techniques, increased irrigation, increased female livestock herd, and seasonal migration. Farmers confirmed empirically observations that climate change would lead to a reduction in crop production. Also, gender, age, education, household size, farming experience, access to extension, access to credit, access to mobile phone and perceived decreased rainfall influenced farmers’ choices of a particular adaptation strategy. The findings support and justified calls for education of farmers on climate change and variability.
Please Cite this Article as:
Hamdiyah ALHASSAN, Paul Adjei KWAKWA, William ADZAWLA (2018) Farmers Choice Of Adaptation Strategies To Climate Change And Variability In Arid Region Of Ghana. Review of Agricultural and Applied Economics.
XXII (Number 1, 2018): 32-40. doi: 10.15414/raae.2019.22.01.32-40
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