College of Bussines and Economics

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College of Bussines and Economics

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    THE IMPACT OF ADOPTING ARTIFICIAL CATTLE INSEMINATION TECHNOLOGY ON SMALLHOLDER FARMERS' WELLBEING: THE CASE OF YEM SPECIAL DISTRICT, SOUTHERN ETHIOPIA
    (Wolkite University, 2022-09) ABEBE ESHETU LEMMA
    This study investigated the impact of adopting artificial cattle insemination technology on smallholder farmers’ well-being in Yem special district. For quantitative analysis, both adopter and non-adopter respondents were drawn and cross-sectional survey data was collected from 361 households. The statistical models distinctively, binary logistic regression, Tobit, and propensity score matching methods were used to determine factors affecting the adoption of AI technology, the extent of adoption, and the impact of AI technology adoption on smallholder farmers’ well-being respectively. The binary logit result revealed that educational level, family size, livestock holding (TLU), timely availability of AI service, perception, and access to grazing land are significant variables affecting the adoption of AI technology. The PSM method was checked for covariate balancing with a standardized bias, t-ratio, and joint significance level tests. Furthermore, sensitivity analysis of the estimated adoption effect to unobserved selection bias was checked using the Rosenbaum bounds procedure. The adoption of AI have a significantly positive impact on adopter households wellbeing. The finding indicates that the adoption of the technology had increased the milk income, livestock income, and total consumption by about 62.742, 31.215, and 11325.694 birrs per year respectively, which is significant at a 1% probability level on average compared to the non-adopters. What about the impact based on the findings, the study suggests that strengthening the promotion of AI technology adoption have a crucial role in improving the well-being of households in the study area. In doing so, managing the possible influencing factors that affect the adoption of AItechnology and adoption intensity should be a prerequisite.