Author
Listed:
- Qiao Chang
(School of Economic and Management, University of Science and Technology Beijing, Beijing 100083, China)
- Hua Wang
(School of Economic and Management, University of Science and Technology Beijing, Beijing 100083, China)
Abstract
Against the global low-carbon transition, China, as one of the world’s major carbon emitters, relies on green finance to drive corporate carbon reduction. However, existing research has paid limited attention to green funds, an important component of China’s green finance system, leaving their role in shaping corporate carbon performance understudied. This study addresses this gap by exploring how green fund shareholding affects corporate carbon performance. Using data of Chinese A-share listed companies from 2008 to 2022, this work employed baseline regression, robustness checks, mediation analysis, and heterogeneity tests. Key findings include: green fund shareholding is associated with significant improvements in corporate carbon performance; green technology innovation plays a partial mediating role in this relationship; external supervision positively moderates the link between green fund shareholding and corporate carbon performance; and the positive effect tends to be more pronounced for firms with higher green fund ownership and net value ratios. This study helps fill the gap of ignoring investor heterogeneity in prior related research. It also suggests that regulators could optimize information disclosure and supervision for green funds, while enterprises may strengthen collaboration with green funds, providing support for China’s green finance development and corporate low-carbon transition.
Suggested Citation
Qiao Chang & Hua Wang, 2025.
"Green Fund Shareholding and Corporate Carbon Performance: An Empirical Analysis Based on Chinese A-Share Listed Companies,"
Sustainability, MDPI, vol. 17(23), pages 1-25, November.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:23:p:10722-:d:1807068
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:23:p:10722-:d:1807068. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.