Abstract:
The objective of this study was to analyze the factors influencing farmer’s decision in adoption 
of improved wheat varieties and estimate the impact of adoption on farm income in Gololcha 
district of Bale zone. The study used cross-sectional data collected from a sample of 202 farm 
households selected through multistage random sampling procedures following probability 
proportional to sample size technique. Both qualitative and quantitative data obtained from 
primary and secondary sources were used. The primary data were collected from randomly 
selected respondents, focus group discussants and key informant interviewees whereas 
secondary data were collected from Gololcha district office of agriculture. Data were
analyzed by descriptive statistics and econometric models as well as qualitative data analysis 
techniques such as narration and quotation. The survey result showed 91(45%) sample 
household heads were adopters of improved wheat varieties in 2018/19 production year.
Based on the nature of data, probit model was used to identify factors affecting farmer’s 
adoption decision in improved wheat varieties. The probit model result showed that sex of 
household head, land holding size, livestock holding size, access to credit, access to market 
information, frequency of extension contacts, educational level of household head, 
membership in cooperatives and perception on yield capacity significantly and positively 
influenced adoption decision of improved wheat varieties. Propensity score matching (PSM) 
model was also employed to evaluate the impact of adoption of improved wheat varieties on 
farm income. The result of the PSM estimation showed that adoption of improved wheat 
varieties has significant impact on farm income of adopter households by earning 24.12 %
increase in annual farm income as compared to the non-adopter. Based on the findings of this 
study it can be concluded that policy and development interventions should give emphasis 
towards improvement of such economical and institutional support system so as to achieve 
wider adoption of improved wheat varieties, increased production and productivity of 
smallholder farmer. For instance, the positive significant effect of variables such as access to 
credit, access to market information and frequency of extension contacts on adoption of 
improved wheat varieties implies the need of intervention that can strength rural credit crevice
provision, increasing frequency of extension visits and provision of reliable and timely market 
information to enhance farmers’ adoption decision in improved wheat varieties. The positive 
and significant influence of perception on adoption also suggests the need of considering the 
attributes farmers use when choosing varieties to enhance farmers’ adoption of improved 
wheat varieties.