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Performance of Nigerian Rice Farms from 2010 to 2019: A Stochastic Metafrontier Approach


  • Toba Stephen Olasehinde

    (Institute of Agricultural Economics and Development, Graduate School Chinese Academy of Agricultural Sciences, 12 South Avenue, Zhongguancun, Haidian District, Beijing 100081, China
    Smart Green Development Nigeria, Ltd., 4, Odo-Isolo Street, Ilasa Ekiti 370104, Nigeria)

  • Fangbin Qiao

    (China Economics and Management Academy, Central University of Finance and Economics, 39 South College Road, Haidian District, Beijing 100081, China)

  • Shiping Mao

    (Institute of Agricultural Economics and Development, Graduate School Chinese Academy of Agricultural Sciences, 12 South Avenue, Zhongguancun, Haidian District, Beijing 100081, China)


Rice has become the most rapidly growing staple food crop in Nigeria. Despite the country favorable rice production ecology, there is still a huge gap between domestic rice production and consumption patterns. This study uses a two-step stochastic metafrontier model to estimate the performance of rice farms from 2010 to 2019, considering the differences between the North and South rice farms. The results indicate heterogeneity in production technology across farms located in different regions, and that both regions have low technical efficiency. However, Nigeria’s South rice farms were ranked better based on managerial issues rather than technological gaps. To attain self-sufficiency in rice production as proposed in its national plan, there is room for improvement of technical efficiency and output production at current production levels in the country’s rice farms.

Suggested Citation

  • Toba Stephen Olasehinde & Fangbin Qiao & Shiping Mao, 2022. "Performance of Nigerian Rice Farms from 2010 to 2019: A Stochastic Metafrontier Approach," Agriculture, MDPI, vol. 12(7), pages 1-13, July.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:7:p:1000-:d:860185

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    Cited by:

    1. Olasehinde, Toba Stephen & Jin, Ye & Qiao, Fangbin & Mao, Shiping, 2023. "Marginal returns on Chinese agricultural technology transfer in Nigeria: Who benefits more?," China Economic Review, Elsevier, vol. 78(C).

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