Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/303714 
Year of Publication: 
2022
Citation: 
[Journal:] Cogent Economics & Finance [ISSN:] 2332-2039 [Volume:] 10 [Issue:] 1 [Article No.:] 2101223 [Year:] 2022 [Pages:] 1-16
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
Wheat is one of the most important cereal crops cultivated in wide range of agro-ecologies in Ethiopia. But, its productivity has remained low. Hence, this study intends to examine the impact of agricultural technology adoption on wheat productivity in north Shewa zone of the Amhara region, Ethiopia. The analysis is based on household level data covering 693 households collected in 2020. Multinomial logit model (MNL) and multinomial endogenous switching regression (MESR) models are used for analysis. The results reveal that agricultural technology adoptions are affected by the education level of the household head, off-farm employment, tropical livestock, access to credit, household saving, extension visit, and distance from the market. In addition, the study shows that the adoption of fertilizer and/or improved seed increases wheat productivity significantly. Furthermore, the adoption of a combined fertilizer and improved seed provides higher productivity than the adoption of single technologies. Therefore, this study recommends that government and other stakeholders should have to work in collaboration with rural farmers to increase rural technology generation; dissemination and adoption interventions to improve wheat productivity in the study area.
Subjects: 
Wheat
technology adoption
multinomial logit
multinomial endogenous switching regression
productivity
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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