Estimating the Impact of Agricultural Technology Adoption on Teff Productivity: Evidence from North Shewa Zone of Amhara Region, Ethiopia

Authors

  • Mesele Belay Zegeye Department of Economics, Debre Berhan University, Ethiopia Author

Keywords:

technology adoption, multinomial logit, multinomial endogenous switching regression, teff productivity, Ethiopia

Abstract

This study aims to examine the impact of agricultural technology adoption on Teff productivity in the North Shewa Zone of the Amhara region, Ethiopia. The analysis is based on household-level data covering 395 households collected in 2021. Multinomial logit and multinomial endogenous switching regression models were used for analysis.  The results of the study showed that agricultural technology adoptions are affected by the education level of the household head, off-farm employment, livestock ownership measured in tropical livestock units, access to credit, household’s saving, access to extension service, farm size, and distance from the market. The results have also pointed out that the adoption of fertilizer and/or improved seed have increased teff productivity significantly. Furthermore, the adoption of a combined fertilizer and improved seed has provided higher productivity than adoption in isolation. Therefore, supporting agricultural technology adoption by increasing access to fertilizer and/or improved seed have significantly increased agricultural productivity.

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Published

26-12-2021

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Articles

How to Cite

Estimating the Impact of Agricultural Technology Adoption on Teff Productivity: Evidence from North Shewa Zone of Amhara Region, Ethiopia. (2021). Ethiopian Journal of Economics, 30(1), 77-102. https://ethiopianjournalofeconomics.org/index.php/EJE/article/view/229

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