Factors Affecting Smallholder Farmers' Adoption of Soybean Production Technologies in Kondala District Oromia Western Ethiopia

Abstract

This study examines on the adoption and intensity of soybean production technology in the Kondala district. A two-stage sampling procedure was followed to select the sample households for the study. The study is based on primary data collected from 185 sample-selected households. Four rural kebeles were selected by using simple random sampling. The semi-structured interview schedule was developed, for collecting the essential quantitative data for the study and secondary data were used as additional data sources. Descriptive statistics and the Tobit model were used to analyse the data. This study also identifies soybean production technologies such as recommended seeding rate, recommended fertilizer applications, land allocation. The result of the descriptive statistics showed that the majority of farmers 57.3% were adopters and the remaining 42.7% were non adopters. In terms of land allocation and use of technologies there was a statistical significance difference in technology usage between adopters and non-adopters. The Tobit model results indicated that household ages, education level, farm experience, membership in cooperatives, access to agricultural inputs, participation in non-farm activities, and frequency of extension contact positively and significantly influenced the adoption and intensity of the use of soybean technologies. Whereas, distance from the market centre showed, a negative relationship with the adoption and intensity of adoption of soybeans production technology. The overall finding of the study underlined the high importance of institutional support in the areas of extension; membership in cooperatives and market to enhance the adoption of an improved soybean production package. Therefore, policy and development interventions should give emphasis to the improvement of such institutional support so as to achieve wider adoption which increases the productivity and income of smallholder farmers.