LAPSE:2023.34609
Published Article
LAPSE:2023.34609
Electricity Sector Reform Performance in Sub-Saharan Africa: A Parametric Distance Function Approach
Adwoa Asantewaa, Tooraj Jamasb, Manuel Llorca
April 27, 2023
Abstract
Electricity sector reforms have transformed the structure and organization of the sector worldwide. While outcomes of reforms in developed and developing countries have been extensively examined, there is limited analysis of the reforms in sub-Saharan Africa (SSA). This paper analyses the performance of electricity sector reforms in 37 SSA countries between 2000 and 2017. We use a stochastic frontier analysis approach to estimate a multi-input multi-output distance function to assess the impact of reform steps and institutional features on indicators of investment and technical efficiency. Results indicate a positive correlation between reforms and installed generation capacity per capita, plant load factor, and technical network losses. The presence of an electricity law, sector regulator, vertical unbundling, and private participation in the management of assets were positively correlated with reform performance. Perceptions of non-violent institutional features such as corruption, regulatory quality and governance effectiveness do not seem to have had a significant effect, but perceptions of political stability, violence, and terrorism influenced reform outcomes. We conclude that a workable reform in SSA involves vertical unbundling with an electricity law, a regulator, and private ownership and management of assets where feasible. However, positive outcomes go hand in hand with higher technical network energy losses which indicates higher investment in the generation segment than in the network segment. Hence, emphasis should be placed on decoupling the energy losses from power generation.
Keywords
distance function, electricity sector reform, institutions, stochastic frontier analysis, sub-Saharan Africa
Suggested Citation
Asantewaa A, Jamasb T, Llorca M. Electricity Sector Reform Performance in Sub-Saharan Africa: A Parametric Distance Function Approach. (2023). LAPSE:2023.34609
Author Affiliations
Asantewaa A: World Bank Group, 1818 H Street NW, Washington, DC 20433, USA; Business School, Durham University, Mill Hill Lane, Durham DH1 3LB, UK
Jamasb T: Copenhagen School of Energy Infrastructure (CSEI), Department of Economics, Copenhagen Business School, Porcelænshaven 16A, 2000 Frederiksberg, Denmark
Llorca M: Copenhagen School of Energy Infrastructure (CSEI), Department of Economics, Copenhagen Business School, Porcelænshaven 16A, 2000 Frederiksberg, Denmark [ORCID]
Journal Name
Energies
Volume
15
Issue
6
First Page
2047
Year
2022
Publication Date
2022-03-11
ISSN
1996-1073
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Original Submission
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PII: en15062047, Publication Type: Journal Article
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LAPSE:2023.34609
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https://doi.org/10.3390/en15062047
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