Mobilizing credit for clean energy: De-risking and public loan provision under learning spillovers


Waidelich, Paul ; Krug, Joscha ; Steffen, Bjarne


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URN: urn:nbn:de:bsz:180-madoc-661930
Document Type: Working paper
Year of publication: 2023
The title of a journal, publication series: ZEW Discussion Papers
Volume: 23-040
Place of publication: Mannheim
Publication language: English
Institution: Sonstige Einrichtungen > ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
Sonstige Einrichtungen > Mannheimer Institut für Sustainable Energy Studies (MISES)
MADOC publication series: Veröffentlichungen des ZEW (Leibniz-Zentrum für Europäische Wirtschaftsforschung) > ZEW Discussion Papers
Subject: 330 Economics
Classification: JEL: G21 , H81 , Q48 , Q55,
Keywords (English): energy transition , state investment bank , government loans , credit guarantees , multiple equilibria
Abstract: Policymakers regularly rely on public financial institutions and government bodies to provide loans to clean energy projects. However, the market failures that public loan provision addresses and the role it can play in a policy strategy that also features de-risking measures, such as interest rate subsidies, remain unclear. Here, we develop a model of banks providing loans to clean energy projects that use a novel technology. Early-stage loans build up financing experience that spills over to peers and hence is undersupplied by the market. In addition to this cooperation problem, bankability requirements can result in a coordination failure where the banking sector remains stuck in an equilibrium with no loans for the novel technology, although a preferable equilibrium with loans exists. Public provision of early-stage loans is inferior to de-risking instruments when solving the cooperation problem because it crowds out private banks’ loan provision. However, public loan provision can more effectively resolve the coordination failure by pushing the banking sector to a better equilibrium, ideally in combination with additional de-risking measures to internalize learning spillovers.




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