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Performance analysis of the electricity industry in Sub-Saharan Africa
Author
Achille, Nsoe Nkouli Jean-Baptiste
Source
Revue D'économie et de Statistique Appliquée
Issue
Vol. 17, Issue 1 (30 Jun. 2020), pp.24-39, 16 p.
Publisher
National Higher School of Statistics and Applied Economics
Publication Date
2020-06-30
Country of Publication
Algeria
No. of Pages
16
Main Subjects
Topics
Abstract EN
In this article, we study the productivity of electricity companies in 17 African countries by measuring Malmquist's productivity index.
We also identify the determinants of the change in total factor productivity (TFP) for the period 2002-2016.
We note that the TFP index for all pay is negative for the period 2002-2016.
Regarding the determinants of TFP change, our study shows that the connection of electricity industries from one country to another (pool variable), rain, hydropower and urbanization increase TFP.
Privatization has a negative impact on PTF.
The theoretical debate between a company's ownership regime and its performance has led to mixed results in the electricity sector in SSA.
African countries should encourage the creation of energy pools that can provide additional benefits in terms of reducing capital expenditures, reducing electricity supply costs, improving the reliability of the system, and achieving success integration policy.
American Psychological Association (APA)
Achille, Nsoe Nkouli Jean-Baptiste. 2020. Performance analysis of the electricity industry in Sub-Saharan Africa. Revue D'économie et de Statistique Appliquée،Vol. 17, no. 1, pp.24-39.
https://search.emarefa.net/detail/BIM-1062900
Modern Language Association (MLA)
Achille, Nsoe Nkouli Jean-Baptiste. Performance analysis of the electricity industry in Sub-Saharan Africa. Revue D'économie et de Statistique Appliquée Vol. 17, no. 1 (Jun. 2020), pp.24-39.
https://search.emarefa.net/detail/BIM-1062900
American Medical Association (AMA)
Achille, Nsoe Nkouli Jean-Baptiste. Performance analysis of the electricity industry in Sub-Saharan Africa. Revue D'économie et de Statistique Appliquée. 2020. Vol. 17, no. 1, pp.24-39.
https://search.emarefa.net/detail/BIM-1062900
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 36-39
Record ID
BIM-1062900