LAUSR

Compared with developed nations, developing countries are more vulnerable to climate change and variability. In this study, a coping and adaptation strategies (CCCAs) index, data envelopment analysis (DEA), and fractional regression model (FRM) are used to explore the impact of farmers’ CCCAs on technical efficiency (TE) among goat farmers in Ghana. Using survey data collected from goat farmers in the northern part of Ghana, the results reveal the following: first, most of the farmers were inefficient in their production. Thus, out of the 124 goat farmers, only 13 (10.5%), 3 (2.4%), and 4 (3.2%) were efficient under variable return to scale (VRS), constant returns to scale (CRS), and scale efficiency (SE), respectively. Second, regarding a quantitative relationship, CCCAs can help increase farmer’ efficiency. Again CCCAs impact on female farmers’ TE was profound than their counterparts. Finally, CCCAs have heterogeneous impacts on goat farmers in different groups. Our findings provide policy implications to improve CCCAs and enhance the goat farmers’ TE.