Author
Listed:
- Mei Song
(School of Economics and Management, East China Normal University, Shanghai 200062, China)
- Zhenyuan Wang
(School of Economics and Management, East China Normal University, Shanghai 200062, China)
Abstract
The development of a robust and well-designed carbon emission governance framework is critical to achieving effective carbon reduction. To explore carbon reduction and regulation behaviour between governments and enterprises based on government rewards, penalties, regulations, and publicity and disclosure from the media, this study used evolutionary game theory to construct an evolutionary game model. In this model, strong and weak regulation are two strategies that can be selected by the government; truthful reports and underreporting of carbon emissions are two strategies that can be used by enterprises. Hence, we performed theoretical analysis and numerical simulations in this study. The results show that different strategy selections are influenced by an initial payoff matrix and initial parameter selection and construction. Under certain conditions, to impel the government to choose the strong regulation and the enterprises to choose the truthful report strategy, this study suggests decreasing the cost of government regulations and increasing the probability of publicity of the governments’ strong regulation behaviour and the enterprises’ truthful reporting of carbon emissions. Finally, increasing the penalty of the enterprises’ underreporting behaviour and the probability of disclosure on the behaviour of weak regulation and underreporting of carbon emissions.
Suggested Citation
Mei Song & Zhenyuan Wang, 2026.
"Carbon Emission Governance Between Government and Enterprises in China: An Evolutionary Game-Based Study,"
Sustainability, MDPI, vol. 18(3), pages 1-25, January.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:3:p:1310-:d:1850678
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:18:y:2026:i:3:p:1310-:d:1850678. 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.