Author
Listed:
- Yao, Dingjun
- Zhang, Yu
- Hu, Jinzhan
- Zhou, Hua
Abstract
Green finance and inclusive finance are critical to advancing the “dual‑carbon” strategy. However, green finance lacks enough inclusivity, and inclusive finance falls short on enough sustainability. Integrating the two is essential to jointly enhance carbon emission efficiency. Using sample data from 30 provinces in China between 2010 and 2021, this study employs the Super-SBM model to construct carbon emission efficiency indicators and the entropy weight-TOPSIS method to calculate the development level of green inclusive finance. A panel fixed-effects model examines the impact of green inclusive finance on carbon emission efficiency. The findings show that the development of green inclusive finance significantly improves carbon emission efficiency. This conclusion holds robust through tests such as lagging the explained variable by one period, changing the measurement of the explanatory variable, excluding the effects of epidemics, and eliminating extreme values. Mechanism tests reveal that green inclusive finance achieves this by optimizing the energy consumption structure and reducing mismatches in innovation resources. Heterogeneity analysis indicates that its impact is most pronounced in regions with lower environmental regulation, higher R&D expenditures, and greater financial autonomy. To maximize its potential, we recommend improving the green inclusive finance policy system, increasing support for green energy projects, optimizing the allocation of resources, and formulating region-specific policies. These measures are aimed toward achieving a win-win outcome, fostering economic growth and ecological sustainability.
Suggested Citation
Yao, Dingjun & Zhang, Yu & Hu, Jinzhan & Zhou, Hua, 2025.
"Effect of green inclusive finance on carbon emission efficiency: Empirical evidence from provincial panel data in China,"
International Review of Financial Analysis, Elsevier, vol. 106(C).
Handle:
RePEc:eee:finana:v:106:y:2025:i:c:s1057521925005733
DOI: 10.1016/j.irfa.2025.104486
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
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:eee:finana:v:106:y:2025:i:c:s1057521925005733. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620166 .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.