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Energy Policy
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Counteracting market concentration in renewable energy auctions: Lessons learned from South Africa

Authors: Wikus Kruger; Ivan Nygaard; Lena Kitzing;

Counteracting market concentration in renewable energy auctions: Lessons learned from South Africa

Abstract

Abstract Competitive bidding programmes, or auctions, are becoming the dominant method for procuring utility-scale renewable energy generation capacity and have coincided with significant cost reductions of renewable energy (RE) technologies. The use of price in auctions as the main awarding criterion has been criticized for apparently leading to market concentration and dominance in project ownership. We investigate: to what extent South Africa's renewable energy auction programme has contributed to market concentration and dominance; if market concentration and dominance have a negative impact on electricity cost in the auction; and to what extent measures taken to counteract market concentration and dominance have led to improved competition and diversity of project ownership. The study analyses bidding data from awarded solar photovoltaic (PV) and wind projects, complemented by interviews with key stakeholders in the industry and in government. While there has been some degree of market concentration, it was not observed to have an adverse impact on project pricing or market development. Introducing preferential conditions for small, local players has been more effective at counteracting market concentration than an overall lowering of entry barriers. Finally, policy certainty and predictability seem more important to counteract market concentration and dominance than any auction design measures.

Country
Denmark
Related Organizations
Keywords

Renewable energy, South Africa, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy, Auctions, Market concentration

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
Green