Content area

Abstract

This study aims to investigate the extent to which institutional quality influences risk allocation in energy infrastructure public–private partnerships (PPPs) projects in Africa. The analysis covers 396 energy infrastructure PPP projects in 35 African countries over the period 1990–2019 based on the World Bank Private Participation in Infrastructure database and the Worldwide Governance Indicators. Risk is measured through contract classification and relates to the increasing participation of the private sector in more structured forms of PPPs, that is, the private sector supports higher risks as it participates in more structured forms of PPPs. For that purpose, four types of PPPs contracts are considered: management and leases, brownfields, greenfields, and divestitures. The results show that control of corruption, sound government effectiveness, political stability and absence of violence, and strong rule of law significantly and positively influence the risk allocation between the private and public sectors toward the private entity. Conversely, regulatory quality and voice and accountability do not significantly affect risk allocation between the two parties. The estimated effects are much stronger in countries with greater experience in energy infrastructure PPPs projects, suggesting that in addition to institutional quality, private investors are more likely to be interested in taking more risks in energy PPPs projects in experienced countries. While distinguishing between African low-income and middle-income countries, the findings suggest that with the same level of institutional quality, there is a high probability that more risks are allocated to the private sector in middle-income countries compared to low-income countries. Policy recommendations are presented and discussed accordingly.

Details

Title
Risk allocation in energy infrastructure PPPs projects in selected African countries: does institutional quality, PPPs experience and income level make a difference?
Author
Kouton, Jeffrey 1   VIAFID ORCID Logo  ; Sanogo, Wilfried 1 ; Djomgoue, Nandi 1 

 Ecole Nationale Supérieure de Statistique et d’Economie Appliquée, Abidjan, Côte d’Ivoire (GRID:grid.508476.8) (ISNI:0000 0001 2107 3477) 
Pages
537-580
Publication year
2023
Publication date
Feb 2023
Publisher
Springer Nature B.V.
ISSN
15739414
e-ISSN
15740277
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2768984470
Copyright
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.