Adoption and Impact of Improved Wheat Technology package on Household Livelihood: A Case Study of Misha Woreda, Hadiya Zone, SNNPR, Ethiopia.

Abstract

Wheat is the most widely consumed cereal crop and its productivity was low in Ethiopia, which are mainly associated with poor adoption and low implementation of improved wheat farm inputs, were among the major problems. Adoption and intensity of improved wheat crop technologies is one of the most promising ways to increase wheat production, productivity and enhance food insecurity in study area. However; the adoption of new technologies was constrained by various factors. Therefore, the aim of this study was to analyze adoption and impact of improved wheat technology package on wheat yields and consumption expenditure of wheat growers in Misha Woreda. A multi-stage sampling technique was employed to select 216 sample household heads and they were interviewed using semi-structured interview schedule. In order to analyze data, Propensity score matching method, Binary logit and Tobit models were employed to analyze impact of improved wheat technology adoption on farmers yield and consumption expenditure; determinants of adoption and intensity of improved wheat technology package respectively in study area. Binary logit model result revealed that sex, education level of household head, tropical livestock holding, access to credit service, availability of farm labor and extension services were positively and significantly influenced adoption whereas family size and farming experience were significant and negatively influence wheat technology package adoption. Tobit model regression results revealed that education level of household head, tropical livestock holding, access to extension service and cultivated land size were significant and positively affect intensity of improved wheat technology package adoption. The propensity score matching showed adoption of wheat technology package has a robust and positive effect on farmers’ wheat crop yield and consumption expenditure per capita. The average treatment effect on the treated (ATT) was 20,237.67 birr per capita in given year for consumption expenditure and about 21.86 quintals yield-per-hectare increase for adopters as compared to non-adopters which indicate that efforts to disseminate existing of wheat technology package highly contribute to increasing wheat yield among farm households. The findings suggest that the government and stakeholders should need to focus on promoting improved wheat productivity through strengthening the provision of farmers’ education, encouraging extension services and facilitating access to credit in the study area. Finally, further support of improved wheat production technology package adoption should be given due attention for its impact on wheat yield produced by smallholders.

Keywords: Adoption, Impact, Intensity, Binary logit, Tobit model, Propensity Score Matching, Wheat.

DOI: 10.7176/RJFA/17-1-04

Publication date: January 30th 2026