Determinants of Choice of Climate Change Adaptation Strategies in Northern Ghana

Abstract

This paper used binary logistic regression model to analyze factors that affect the choice of climate change adaptation strategies of farmers in Northern Ghana. Using semi-structured questionnaires, 155 farmers were randomly sampled from purposively selected three Northern Regions in Ghana. The empirical results of the binary logistic regression models revealed different effects of the factors on farmer's choice of adaptation strategies. Farming experience, farm income, access to phones, mixed farming, farmers' perception on reduction in rainfall amount and access to weather information significantly and positively affects the choice of at least five climate change adaptation strategies. Following the findings of this study, agricultural extension service should be intensified through organization of adult education programmes or field schools for farmers to educate them on some climate change adaptation strategies. Agro climatic information centers should be established at vantage points in farming communities to enable farmers seek for information to help them revise their climate change adaptation decisions for specific time and agricultural activity. Lastly, affordable climate change adaptation technologies should be designed and make available to poor farmers to adopt.