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A meta-regression analysis of frontier efficiency estimates from Africa

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  • Ogundari, Kolawole

Abstract

The study investigates whether African agricultural efficiency levels has been improving or not and what drives its over the years based on 442 frontier studies using meta-regression analysis. The results show that mean efficiency estimates from studies decrease significantly as year of survey in the primary study increases. Also studies published in Journals, with parametric specification and with panel data produced significantly higher efficiency estimates, while those with a focus on grain crops reported significantly lower efficiency estimates. Other results show that education, followed by experience; extension and credit are the major drivers of agricultural efficiency levels in Africa.

Suggested Citation

  • Ogundari, Kolawole, 2014. "A meta-regression analysis of frontier efficiency estimates from Africa," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 165911, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea14:165911
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    File URL: http://purl.umn.edu/165911
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    Keywords

    Agriculture; efficiency; meta-analysis; food security; fractional regression; Africa; Food Security and Poverty; Production Economics; Productivity Analysis; C13; Q12; Q18;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy

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