A meta-regression analysis of frontier efficiency estimates from Africa

Kolawole Ogundari ()

No 165911, 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota from Agricultural and Applied Economics Association

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.

Keywords: Food Security and Poverty; Production Economics; Productivity Analysis (search for similar items in EconPapers)
Pages: 32
Date: 2014
New Economics Papers: this item is included in nep-afr, nep-agr and nep-eff
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea14:165911

DOI: 10.22004/ag.econ.165911

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