Author
Listed:
- Lili Zhang
(School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China)
- Shuolei Hu
(School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China)
- Lei Qiao
(School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China)
- Kai Zhong
(School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China)
Abstract
Environmental monitoring is the basis of environmental protection. China’s existing environmental monitoring system has been relatively perfect, but there are still data fraud and other illegal issues. Blockchain technology can well meet the requirements of environmental monitoring, but there are many obstacles in its adoption process, so this paper combines the characteristics of blockchain technology to integrate the two stakeholders of government and polluting enterprises into a unified model and introduces parameters related to smart contracts and corruption. The dynamic evolutionary game theory, combined with numerical simulation, is used to explore the behavioral decision-making characteristics and change rules of relevant stakeholders. The results show that there are stable conditions for the three strategies. Compared with the development cost of blockchain, the management cost of blockchain has a greater impact on the strategy choice of polluting enterprises because the income of polluting enterprises adopting blockchain technology can greatly affect the strategy choice of polluting enterprises, and there is a positive correlation between the income and the willingness of polluting enterprises to choose blockchain technology; only the construction cost of blockchain will cause fluctuations in the government’s strategy choice, and other factors will not have a greater impact on the government’s choice. This study provides a useful reference for promoting the adoption of blockchain technology in the field of environmental protection.
Suggested Citation
Lili Zhang & Shuolei Hu & Lei Qiao & Kai Zhong, 2025.
"Analysis of Blockchain Adoption in Environmental Monitoring Based on Evolutionary Game,"
Mathematics, MDPI, vol. 13(19), pages 1-22, October.
Handle:
RePEc:gam:jmathe:v:13:y:2025:i:19:p:3237-:d:1767534
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:jmathe:v:13:y:2025:i:19:p:3237-:d:1767534. 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.