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Cited by 386

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Greening through finance?

Open access
Fan, Haichao, Peng, Yuchao, Wang, Huanhuan, Xu, Zhiwei·2021·Journal of Development Economics

Abstract

Abstract This paper investigates how green credit regulation affects firms' loan conditions and their economic and environmental performance. In a simple theoretical model, with strengthened green credit regulations, banks raise loan interest rates to nonabatement firms. Firms that were formerly indifferent to pollution abatement must redetermine their abatement and production strategies. Using disaggregated firm-level data, we find that, after the reinforcement of green credit regulation, noncompliant firms saw a larger increase in interest rates, decrease in loan amounts, and more difficulty in access to loans. We further find different impacts on large and small firms in terms of their loans and their financial and economic responses. Regarding the impact on firms’ environmental performance, although all of these firms reduced their total emissions, the reductions are realized in dissimilar ways; large firms reduced their emission intensity by investing more in adopting abatement facilities, while small firms simply choose to produce less.

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Crossref · 10.1016/j.jdeveco.2021.102683

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Metadata

Authors
Fan, H., Peng, Y., Wang, H., & Xu, Z.
Venue
Journal of Development Economics
Publisher
Elsevier BV
Published
2021-09
Volume
152
Pages
102683
ISSN
0304-3878 (ISSN-L)
OpenAlex
W3165357056
Cited by
386
References
35
FWCI
46.88
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Greening through finance? https://app.cochat.ai/papers/10.1016/j.jdeveco.2021.102683
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Fan, H., Peng, Y., Wang, H., & Xu, Z. (2021). Greening through finance? Journal of Development Economics. https://doi.org/10.1016/j.jdeveco.2021.102683

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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.