The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Financing renewable energy: Who is financing what and why it matters
Open accessAbstract
Successful financing of innovation in renewable energy (RE) requires a better understanding of the relationship between different types of finance and their willingness to invest in RE. We study the ‘direction’ of innovation that financial actors create. Focusing on the deployment phase of innovation, we use Bloomberg New Energy Finance (BNEF) data to construct a global dataset of RE asset finance flows from 2004 to 2014. We analyze the asset portfolios of different RE technologies financed by different financial actors according to their size, skew and level of risk. We use entropy-based indices to measure skew, and construct a heuristic index of risk that varies with the technology, time, and country of investment to measure risk. We start by comparing the behavior of private and public types of finance and then disaggregate further along 11 different financial actors (e.g. private banks, public banks, and utilities) and 11 types of RE technologies that are invested in (e.g. different kinds of power generation from solar radiation, wind or biomass). Financial actors vary considerably in the composition of their investment portfolio, creating directions towards particular technologies. Public financial actors invest in portfolios with higher risk technologies, also creating a direction; they also increased their share in total investment dramatically over time. We use these preliminary results to formulate new research questions about how finance affects the directionality of innovation, and the implications for RE policies.
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
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Translational research: crossing the valley of death
Butler, D. (2008) · Nature · doi:10.1038/453840a · Cited by 712
Popp, D. (2010) · Annual Review of Resource Economics · doi:10.1146/annurev.resource.012809.103929 · Cited by 217
Cited by
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
COVID-19 and public-sector capacity
Mazzucato, M., & Kattel, R. (2020) · Oxford Review of Economic Policy · doi:10.1093/oxrep/graa031 · Cited by 238
Self-citationReviewing 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
Metadata
- Authors
- Mazzucato, M., & Semieniuk, G.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 127
- Pages
- 8-22
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2468992219
- Cited by
- 687
- References
- 3
- FWCI
- 61.09
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Financing renewable energy: Who is financing what and why it matters. https://app.cochat.ai/papers/10.1016/j.techfore.2017.05.021
- The paper
- Mazzucato, M., & Semieniuk, G. (2018). Financing renewable energy: Who is financing what and why it matters. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2017.05.021
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.