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Comparative assessment of technical efficiencies of irrigated crop production farms: A case study of the large-scale Kampe-Omi irrigation scheme, Nigeria

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Listed:
  • Bashir Adelodun
  • Abdulwaheed Adedayo Mohammed
  • Kamoru Akanni Adeniran
  • Sheu-Usman Oladipo Akanbi
  • Taofeeq Sholagberu Abdulkadir
  • Kyung Sook Choi

Abstract

The technical inefficiencies of crop production system in terms of large-scale irrigation schemes are major problems attributed to the underperformance of crop farms. Therefore, the aim of this study was to estimate and compare farm-level technical efficiencies of four major crop productions system including, pepper, okra, garden egg, and tomato under the large-scale Kampe-Omi irrigation scheme, Nigeria. The data development analysis (DEA) approach was used to study the hypothesized determinants affecting the efficiencies of crop farms using an ordinary least squares regression model. The results showed that the selected pepper, okra, garden egg, and tomato crop farms were fully efficient at 20, 10, 16.92, and 40% under constant return to scale (CRS), and at 13.33, 30, 10.77, and 25.71% under variable return to scale (VRS), respectively. DEA revealed a considerable variation in technical inefficiency among the selected crop farms under the irrigation scheme. The significant determinants of technical efficiencies of the four crop farms include farmers’ age, family size, experience, alternative income, education, credit accessibility, and contact with extension agents. The outcomes of this study are useful for improving production efficiencies while serving as a convenient guide for both farmers and irrigation scheme managers of selected crops.

Suggested Citation

  • Bashir Adelodun & Abdulwaheed Adedayo Mohammed & Kamoru Akanni Adeniran & Sheu-Usman Oladipo Akanbi & Taofeeq Sholagberu Abdulkadir & Kyung Sook Choi, 2021. "Comparative assessment of technical efficiencies of irrigated crop production farms: A case study of the large-scale Kampe-Omi irrigation scheme, Nigeria," African Journal of Science, Technology, Innovation and Development, Taylor & Francis Journals, vol. 13(3), pages 293-302, April.
    • Handle: RePEc:taf:rajsxx:v:13:y:2021:i:3:p:293-302
    DOI: 10.1080/20421338.2020.1755111
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    Cited by:

    1. Matthew Durojaiye Ayeni & Charity Aremu & Adekunle Adedayo Olufemi, 2023. "Stochastic Frontier Analysis of Technical Efficiency and Profitability of Dry Season OKRA Production in Nigeria," SAGE Open, , vol. 13(2), pages 21582440231, June.

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