MODELLING THE DETERMINANTS OF ADOPTION OF MULTIPLE CLIMATE CHANGE COPING AND ADAPTATION STRATEGIES: A MICRO ANALYSIS OF SMALLHOLDER FARMERS IN NORTHERN GHANA

Abstract

Climate change coping and adaptation (CCCA) mechanisms have become more relevant in the north of Ghana where there is evidence of severe impacts of climate change and poverty. In this study, we modelled the determinants of adoption of multiple CCCA strategies by smallholder farmers in northern Ghana using primary data collected from 230 households. Count data models including endogenous switch Poisson and generalized Poisson regression were estimated to account for potential endogeneity of credit, as well as dispersion errors. The credit variable did not show signs of endogeneity, neither was there evidence of significance dispersion errors in the data. Age, sex, extension visits, and farm size were significant across the various count data models and should be considered by policy makers when designing national climate change response and mitigation plans.