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Technical Inefficiency Effects in Agriculture—A Meta-Regression

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  • Justice Djokoto
  • Francis Srofenyo
  • Akua Arthur

Abstract

A number of studies have examined the effect of study characteristics on mean technical efficiency as the dependent variable. This article departs from these earlier studies by using second-stage inefficiency covariates as key exploratory variables and study characteristics as control variables in a meta-regression. Unlike the vote count method of quantitative review, the parameters of the key variables have desirable properties and enable statistical inferences to be drawn. Additionally, the dependent variable employed is mean technical inefficiency. This is demonstrated using data on technical inefficiency of primary studies in Ghanaian agriculture, fitted to fractional regression models. The appropriate functional form of the fractional regression model is discussed with policy implications.

Suggested Citation

  • Justice Djokoto & Francis Srofenyo & Akua Arthur, 2016. "Technical Inefficiency Effects in Agriculture—A Meta-Regression," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 8(2), pages 109-109, January.
    • Handle: RePEc:ibn:jasjnl:v:8:y:2016:i:2:p:109
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    References listed on IDEAS

    as
    1. Etwire, Prince Maxwell & Martey, Edward & Dogbe, Wilson, 2013. "Technical Efficiency of Soybean Farms and Its Determinants in Saboba and Chereponi Districts of Northern Ghana: A Stochastic Frontier Approach," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 2(4).
    2. Djokoto, Justice G., 2015. "Technical efficiency of organic agriculture: a quantitative review," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 117(2), pages 1-11, August.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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