TY - JOUR
T1 - Comparative assessment of technical efficiencies of irrigated crop production farms
T2 - A case study of the large-scale Kampe-Omi irrigation scheme, Nigeria
AU - Adelodun, Bashir
AU - Mohammed, Abdulwaheed Adedayo
AU - Adeniran, Kamoru Akanni
AU - Akanbi, Sheu Usman Oladipo
AU - Abdulkadir, Taofeeq Sholagberu
AU - Choi, Kyung Sook
N1 - Publisher Copyright:
© 2020 African Journal of Science, Technology, Innovation and Development.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - crop production
KW - DEA
KW - large-scale irrigation scheme
KW - Nigeria
KW - technical efficiency
UR - http://www.scopus.com/inward/record.url?scp=85085515411&partnerID=8YFLogxK
U2 - 10.1080/20421338.2020.1755111
DO - 10.1080/20421338.2020.1755111
M3 - Article
AN - SCOPUS:85085515411
SN - 2042-1338
VL - 13
SP - 293
EP - 302
JO - African Journal of Science, Technology, Innovation and Development
JF - African Journal of Science, Technology, Innovation and Development
IS - 3
ER -