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This paper examines determinants of faba bean varieties adoption in Enda-Mehoni district using a cross-sectional data collected from 223 sample households. An interview schedule was employed to collect the data and presented using frequency, percentage and mean. We employed t-test and χ2-test statistics to see the significant difference between adopter and non-adopter and a binary logit model to know the influence of explanatory variables on faba bean varieties adoption. The findings reveal that the decision to adopt improved faba bean varieties is positively influenced by annual farm income and training obtained but negatively influenced by residents of the household heads. The study concludes that adoption decision was found to be a combination of economic, physical and institutional variables of the farmers. Hence, the understanding of the significant factors that lead farmers to adopt improved faba bean is imperative in policy design and implementation for further improved technology adoption in the area. In addition, providing appropriate training, improving the annual farm income and targeting domains of faba bean producing areas will contribute to improved faba bean varieties adoption in the district. Key words: Adoption, binary logit, faba bean.
Hagos et al. (Fri,) studied this question.