Abstract:
This study aimed to examine the factors influencing the choice of climate change adaptation by women in Ambo district and their vulnerable related hazards based on their dependence on natural resources, daily life roles Both primary and secondary data sources were used for the study. Primary data were collected from a randomly selected 150 sample households. While secondary data were obtained from published and unpublished materials. The data were analyzed by using descriptive and probit econometric model. The descriptive statistics were used to provide insights into women’s perception of climate change and types of adaptation strategies to climate change. While Multivariate probit econometric model was used to identify the factors influencing households’ use of adaptation options to climate change. The result from descriptive statistics showed that 36.67% and 63.33% of women from female headed and male headed perceived, as there is a change in climate respectively. The result of multivariate probit model showed that the likelihood of households to planting different crop varieties, soil and water conservation, Changing Planting Date, mixed crop and livestock farming were 69.7%, 81.5%, 68.2%, and 56.3 respectively. The result also showed that the joint probability of using all adaptation strategies was only 0.25% and the joint probability of failure to adopt all of the adaptation strategies was 11%. Moreover, the Multivariate probit model results confirm that, family size, training and climatic change awareness have a statistically positive as well as market distance were negative significant influence on climate adaptation options. The study concluded women farmers with better access to extension, training better tendency to consider climate adaptation options. Therefore, future policy should focus on the delivery of training and extension services on crop and livestock production, and information on climate and adaptation options are necessary to better cope with climate change and a better understanding of the local dimensions of adaptation essential to develop appropriate adaptation measures that can mitigate these adverse consequences in the study area
