The DOI matches its Crossref record.
The multiple roles of state investment banks in low-carbon energy finance: An analysis of Australia, the UK and Germany
Open accessAbstract
Low-carbon energy technologies (renewable energy and energy efficiency) are considered essential to achieve climate change mitigation goals, so a rapid deployment is needed. However there is a significant financing gap and many policymakers are concerned that investment for the large-scale deployment of low-carbon technologies will not materialise quickly enough. State investment banks (SIBs) can play a key role in closing this finance gap and leverage additional private finance. Based on 52 interviews, this paper presents empirical evidence on the role of three SIBs in addressing the barriers to financing low-carbon energy projects; the Clean Energy Finance Corporation (CEFC) in Australia, the Kreditanstalt fuer Wiederaufbau (KfW) in Germany and the Green Investment Bank (GIB) in the UK. We investigate the activities and financial instruments offered by SIBs and compare these to the need for such from low-carbon developers when sourcing finance. Findings show that aside from capital provision and de-risking, SIBs take a much broader role in catalysing private investments into low-carbon investments, including enabling financial sector learning, creating trust for projects and taking a first or early mover role to help projects gain a track record.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Sovacool, B. K. (2021) · Energy Research & Social Science · doi:10.1016/j.erss.2021.101916 · Cited by 614
Closing the green finance gap – a systems perspective
Hafner, S., Jones, A., Anger-Kraavi, A., & Pohl, J. (2020) · Environmental Innovation and Societal Transitions · doi:10.1016/j.eist.2019.11.007 · Cited by 318
Jin, Y., Gao, X., & Wang, M. (2021) · Energy Policy · doi:10.1016/j.enpol.2021.112254 · Cited by 242
Reviewing financing barriers and strategies for urban nature-based solutions
Toxopeus, H., & Polzin, F. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112371 · Cited by 196
Nenavath, S. (2022) · Renewable Energy · doi:10.1016/j.renene.2022.05.020 · Cited by 181
Impact of green finance and fintech on sustainable economic growth: Empirical evidence from India
Nenavath, S., & Mishra, S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e16301 · Cited by 137
“Predominantly, fintech has significant returns of a better regulator of customers’ finance, quick resolution, and operation, permitting leading business communications in any probable circumstance [30,31].”
BackgroundGreener and cheaper: green monetary policy in the era of inflation and high interest rates
Aguila, N., & Wullweber, J. (2024) · Eurasian Economic Review · doi:10.1007/s40822-024-00266-y · Cited by 49
Ray, M., & Chakraborty, B. (2022) · Renewable Energy · doi:10.1016/j.renene.2022.05.091 · Cited by 19
Metadata
- Authors
- Geddes, A., Schmidt, T. S., & Steffen, B.
- Venue
- Energy Policy
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 115
- Pages
- 158-170
- ISSN
- 0301-4215 (ISSN-L)
- OpenAlex
- W2791996175
- Cited by
- 317
- References
- 0
- FWCI
- 29.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.