Adoption of Improved Soybean Varieties and the Impact on Productivity and Income of Smallholder Farmers in Pawe District, Benishangul Gumuz Region, Ethiopia
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Date
2024-06
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Addis Ababa University
Abstract
This study aims to identify the determinants of adoption of improved soybean varieties in Pawe district, and subsequently assess the factors influencing the intensity of adoption of the technology. About, 308- sample households were selected using systematic random sampling techniques. The data were obtained mainly from a survey of sampled soybean grower households’ via structured interview, and was supported by key informant interviews. Descriptive statistics, Chi-square, t-test, One-way ANOVA, and Double-hurdle model were employed to analyze the data. Two sets of determinants were found out by the results of the double hurdle model. First-hurdle of the double hurdle model result revealed the determinants of the adoption decision of improved soybean varieties that included frequency of extension contact, agricultural training, field day participation and annul income having positive effects on the stated variables. On the other hand distances to the market and farm size were found to be determinants that have negative effects. The second-hurdle result also denoted determinants with positive effects on adoption intensity of improved soybean varieties that include credit access, soybean productivity and TLU. The research also explored the perceptions of farmers on the technologies assessed. In view of this, it was found out that farmers perceived high yielding potential, branching, drought resistance, resistant to shattering character, marketability, seed size and better prices are the key attributes of improved soybean varieties, whereas straw biomass and disease resistant were perceived as less importance attributes. Finally, the ESRM result shows that, adoption of improved soybean varieties significantly increased the adopters’ average improved soybean productivity/ha by 2.365 quintal and 13897.07 ETB net incomes respectively. Therefore, to achieve sustainable production with high value addition and a viable value chain for soybeans, growers should be given access to enhanced soybean technology together with fully recommended packages, and relationships between actors should be strengthened.
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Keywords
Adoption, Double-hurdle, Soybean, Pawe, Endogenous switching regression model