The DOI matches its Crossref record.
Green credit, renewable energy investment and green economy development: Empirical analysis based on 150 listed companies of China
Abstract
Abstract By building a green economy development index to measure the level of green economy development, taking 150 renewable energy listed companies of China for example, this paper constructs a threshold effect model to investigate the non-linear relationship between renewable energy investment and the green economy development index from the perspective of green credit. Results mainly show that: firstly, the impact of renewable energy investment on the green economy development index includes dual threshold effects from green-credit, the effect is divided into three stages: promoting, restraining and promoting successively. Secondly, for large-sized companies, the impact of renewable energy investment on the green economy development index includes one threshold from green-credit, with the effect coefficients at each stage being 0.1034 and −0.0113, successively. However, for medium, small, and micro sized enterprises, the impact of renewable energy investment on the green economy development index includes dual threshold effects from green credit, with the effect coefficients at each stage being 0.1310, −0.0033, and 0.0244, successively, and the inhibition effect not being significant. Thirdly, our results also find that improving expenditure on environmental pollution control and adjusting industry structure are conducive to increasing the green economy development index.
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
Zhou, X., Tang, X., & Zhang, R. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-08383-2 · Cited by 694
Zhang, S., Wu, Z., Wang, Y., & Hao, Y. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.113159 · Cited by 659
An evolutionary analysis of green finance sustainability based on multi-agent game
Cui, H., Wang, R., & Wang, H. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.121799 · Cited by 259
Luo, S., Yu, S., & Zhou, G. (2021) · Energy Economics · doi:10.1016/j.eneco.2021.105335 · Cited by 194
Metadata
- Authors
- He, L., Zhang, L., Zhong, Z., Wang, D., & Wang, F.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 208
- Pages
- 363-372
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2897415194
- Cited by
- 583
- References
- 0
- FWCI
- 31.72
- Type
- journal article
- Language
- en
- Open access
- closed
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: Green credit, renewable energy investment and green economy development: Empirical analysis based on 150 listed companies of China. https://app.cochat.ai/papers/10.1016/j.jclepro.2018.10.119
- The paper
- He, L., Zhang, L., Zhong, Z., Wang, D., & Wang, F. (2019). Green credit, renewable energy investment and green economy development: Empirical analysis based on 150 listed companies of China. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.10.119
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.