Analysis of Blockchain Adoption in Environmental Monitoring Based on Evolutionary Game

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.

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Publication Details

Journal
Mathematics
Published
2025-10-09
DOI
https://doi.org/10.3390/math13193237
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00

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article

Analysis of Blockchain Adoption in Environmental Monitoring Based on Evolutionary Game

Shaonan Hu, Kai Zhong, Lei Qiao, Lili Zhang
Mathematics
FinTech, Crowdfunding, Digital Finance
article

Analysis of Blockchain Adoption in Environmental Monitoring Based on Evolutionary Game

Shaonan Hu, Kai Zhong, Lei Qiao, Lili Zhang
article en

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.

MathematicsVol. 13(19)
Dalian Maritime University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 54%
FinTech, Crowdfunding, Digital Finance
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Analysis of Blockchain Adoption in Environmental Monitoring Based on Evolutionary Game — Shaonan Hu, Kai Zhong, et al. · Mathematics (2025) | TGRS Research Map | TGRS