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Application of the estimation of multiple effect size to frontier efficiency meta-regression of agriculture in Ghana

Author

Listed:
  • Djokoto, Justice G.
  • Agyeiwaa-Afrane, Akua
  • Badu-Prah, Charlotte
  • Gidiglo, Ferguson K.
  • Srofenyoh, Francis Y.
  • Agyei-Henaku, Kofi Aaron A-O.

Abstract

We applied a method of estimating multiple effect sizes to agricultural efficiency data in Ghana. We used multi-efficiency data from 195 publications and 345 observations and fitted it to ordinary least squares regression to illustrate how the model works. The data is unique in the meta-regression efficiency space, containing all efficiency measures. We depart from existing frontier efficiency meta-regression by estimating the combined effect sizes of technical efficiency and other dimensions of frontier efficiency. We extended the single effect size estimation model to a multiple effect size estimation model. The application of the data showed that the strongest differences related to profit efficiency, the meta-regression of which has never been published. The average of the arithmetic means should not be considered as the overall efficiency, rather, the combined effect size in frontier efficiency meta-regression models.

Suggested Citation

  • Djokoto, Justice G. & Agyeiwaa-Afrane, Akua & Badu-Prah, Charlotte & Gidiglo, Ferguson K. & Srofenyoh, Francis Y. & Agyei-Henaku, Kofi Aaron A-O., 2025. "Application of the estimation of multiple effect size to frontier efficiency meta-regression of agriculture in Ghana," Research in Economics, Elsevier, vol. 79(1).
    • Handle: RePEc:eee:reecon:v:79:y:2025:i:1:s1090944325000031
    DOI: 10.1016/j.rie.2025.101026
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    Keywords

    Allocative efficiency; Cost efficiency; Combined effect size; Economic efficiency; Profit efficiency; Scale efficiency; Publication bias;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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