Electricity Sector Reform Performance in Sub-Saharan Africa: A Parametric Distance Function Approach

Adwoa Asantewaa, Tooraj Jamasb, Manuel Llorca*

*Corresponding author for this work

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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.
Original languageEnglish
Article number2047
JournalEnergies
Volume15
Issue number6
Number of pages29
ISSN1996-1073
DOIs
Publication statusPublished - Mar 2022

Keywords

  • Electricity sector reform
  • Sub-Saharan Africa
  • Institutions
  • Stochastic frontier analysis
  • Distance function

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