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Best practices for root crop productivity in Ethiopia

A synthesis of inputs, farm-management and climate adaptation

Bibliographic Data

ID21510220
AuthorsDaregot Berihun Tenessa (0009-0005-5480-7445, Bahir Dar University, corresponding author)
Year2025
Volume64
Issue3-4
Pages345-357
Publication date2025-10-02
Open AccessNo
TypeARTICLE
VenueAgrekon (JOURNAL)
Journal identifiersISSN: 0303-1853 • E-ISSN: 2078-0400
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03031853.2025.2576685
OpenAlexW4415604961
LanguageEN
References cited26

This study examines factors affecting the productivity of root crops in Ethiopia using the dynamic system generalised method of moments (GMM) approach on the pseudo-panel data constructed from the Ethiopian annual agricultural survey (2003–2021). Empirical results show that the historic yield of the root crops positively and significantly affects the current output, indicating the path dependence in productivity. Among the primary agricultural inputs, improved seeds significantly increase the performance of the root crop, with 1% increasing in the usage of this input rises yield by 0.098%. Conversely, expanding cultivated area and the increased use of oxen show unexpected negative effects on the output. Ethiopian agricultural households who focus on specialising in crop production are 9.84% higher yield gainers than those majoring in livestock or mixed agricultural systems. The application of some organic fertilisers also positively affects yields, which contributes to an increase in 15.57%, while natural fertiliser use shows a negative impact. In addition, contour ploughing significantly increases the productivity of the root crop, with an average of 11.24%. Interestingly, conventional farm management practises and institutional/policies have not shown any statistically significant effect on root crop output

Best practice · Crop · Crop production · Crop Productivity · Productivity · Agricultural Science and Fertilization · Banana Cultivation and Research · Indigenous Knowledge Systems and Agriculture

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