Abstract:
In Ethiopia agriculture is highly vulnerable to climate variability. This is mainly due to its 
mere dependence on rainfall and low level of technology adoption. Thus, the aim of this study 
was to investigate farmers’ resilience to climate variability and their perception towards 
adoption of climate smart agricultural practices in the study area. A multistage sampling 
technique was employed to select sample households. Accordingly, 204 sample households
were selected using simple random sampling technique. Both quantitative and qualitative 
data were collected from primary and secondary sources. The primary data were collected 
from sampled households using interview schedule, Key informant interview and Focused
group discussion. Descriptive statistics and a multivariate probit model were employed to 
analyze the sample households’ socio-demographic, economic and institutional 
characteristics. Resilience Capacity Index (RCI) based on absorptive, adaptive and 
transformative capacities was used to measure households’ resilience to climate variability.
The model results revealed that the likelihood of decisions to adopt water harvesting, 
intercropping, crop rotation, soil and water conservation and drought resistance crop 
varieties were 44.3, 67.7, 43.59, 70.6 and 53.3% respectively. The model results also found 
out that sex, literacy of households, livestock owned, farm distance from residence, extension 
contact, access to credit, membership to social organization, market distance, weather 
information and experience were significantly associated with adoption of CSA practices in 
the study area. Furthermore, RCI result indicated that households living in the same area can 
have different levels of resilience to climate variability, with RCI ranging from -26.7 to 28.12. 
This implies household with negative RCI value have low level of resilience while households 
with positive RCI values have high level of resilience. Thus, to increase the demand and 
implementation of CSA practices, farmers should be motivated to join and participate in 
different training and demonstration areas so that they could share farming information and 
increase their knowledge.