Impact of agricultural technology adoption on wheat productivity: Evidence from North Shewa Zone, Amhara Region, Ethiopia

Mesele Belay Zegeye, Abebaw Hailu Fikrie, Anteneh Bizualem Asefa

Research output: Contribution to journalA1: Web of Science-articlepeer-review


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.

Original languageEnglish
Article number2101223
JournalCogent Economics & Finance
Issue number1
Number of pages16
Publication statusPublished - 2022
Externally publishedYes


  • Wheat
  • technology adoption
  • multinomial logit
  • multinomial endogenous switching regression
  • productivity

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