dc.description.abstract | In Sub-Saharan Africa, climate change is set to hit the agricultural sector the most and cause untold suffering
particularly for smallholder farmers. Adoption of climate change adaptation strategies aims to minimize adverse
effects of climate change on crop yields. However, the capacity of smallholder farmers to choose from
appropriate climate change adaptation strategies in SSA is limited. It is therefore imperative to identify and
analyze factors that determine the capacity of these farmers to choose appropriate climate change adaptation
strategies. Such effort will help policy makers and development practitioners design policies that would help to
tackle the problem of food insecurity and poverty afflicting majority of the local people in various regions in the
continent. In this study, household data on crop farming systems in central Ethiopia was used and binary and
multinomial logit models developed to analyze the data. The binary logit model was used to identify
determinants of farmers’ decision to adapt to climate change at all. The multinomial logit model was employed
to analyse factors that affect farmers’ adoption choices. Results indicate that farmers´ decisions to choose from
several climate change adaptation strategies are influenced by various factors such as access to information on
climate change, input and output market, credit facility, extension services and social capital. The implication is
that policy makers and development practitioners should focus on improving information flow, access to input
and output market, the education level of the household head, and informal social networks that can speed up the
adoption of adaptation strategies. The multinomial logit model also shows that farmers´ decision to choose
among climate change adaptation strategies is influenced by the type of risk factor they faced and the occurrence
of drought or flood. Accordingly, policy makers and development practitioners should play a significant role by
promoting adaptation methods appropriate for particular climate change risk factor such as drought or flood. | en_US |