What is it about?
Using data from 152 publications yielding 223 observations from diverse sources and applying meta-regression analysis, we investigated the heterogeneity in mean technical efficiency (MTE), assessed the temporal and spatial drivers of estimated technical efficiency for Ghana. We found differences in the estimated MTE. The selected functional form of the fractional regression model showed sectoral and spatial variables drive differences in MTE. There was a seeming technical efficiency regression with average MTE of 0.676 that requires greater effort in the management of production than has been the case previously in order to close the output gap.
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Why is it important?
In the literature, existing meta-regressions on efficiency have focused on specific sectors in a country or multiple countries and on specific economic activity. None of the available efficiency meta-regressions covers multiple sectors of an economy. We contribute to the literature by investigating the technical efficiency differentiation within a multi-sectoral environment.
Perspectives
This is the first of the number of papers on our project: productivity and frontier efficiency in Ghana. The data collected is rich and will be used in subsequent works.
Professor Justice Gameli Djokoto
Central University College
Read the Original
This page is a summary of: Sectoral and spatio-temporal differentiation in technical efficiency: A meta-regression, Cogent Economics & Finance, January 2020, Taylor & Francis,
DOI: 10.1080/23322039.2020.1773659.
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