Quality performance gaps and minimal electricity losses in East Africa

East Africa; Electricity losses; Quality performance gap; Business and International Management; Transportation; Sociology and Political Science; Economics and Econometrics; Economics, Econometrics and Finance (miscellaneous); Energy (all); Economics, Econometrics and Finance (all); Law; General Economics, Econometrics and Finance; General Energy

Abstract :

[en] The electricity sector in East Africa is characterized by high levels of electricity losses. The literature has extensively focused on investments and policy reforms that can potentially reduce losses. In this paper, we follow another approach by nonparametrically estimating the minimal losses given the actual inputs, outputs and electricity generation process. Minimal losses are then compared to actual losses to construct quality performance indicators. Using a tailored database for six East African countries over 10 years, we show that electricity losses could be reduced by 8%, representing savings of approximately $60 million per year.

Disciplines :

Microeconomics

Author, co-author :

Gautier, Axel ; Université de Liège - ULiège > HEC Liège : UER > UER Economie : Economie industrielle ; CESifo, Munich, Germany

Nsabimana, René ; Université de Liège - ULiège > HEC - Ecole de gestion de l'ULiège > Doct. scienc. écon. gest. (sciences économiques) ; Institut Supérieur des Cadres Militaires (ISCAM), Burundi

Walheer, Barnabé ; Université de Liège - ULiège > HEC Liège : UER > UER Economie : Microéconométrie et économétrie appliquée

Language :

English

Title :

Quality performance gaps and minimal electricity losses in East Africa

Publication date :

June 2023

Journal title :

Utilities Policy

ISSN :

0957-1787

Publisher :

Elsevier Ltd

Volume :

Pages :

101558

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S095717872300070X?httpAccept=text/xml

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique

Funding text :

This work is supported by the Fonds de la Recherche Scientifique (FNRS), Belgium under Grant No. J.0193.23.

Available on ORBi :

since 31 July 2023

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