Analysis of Blockchain Adoption in Environmental Monitoring Based on Evolutionary Game
Lili Zhang (),
Shuolei Hu,
Lei Qiao and
Kai Zhong
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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
Mathematics, 2025, vol. 13, issue 19, 1-22
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.
Keywords: environmental monitoring; blockchain; smart contracts; evolutionary game; numerical simulation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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