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Optimization of Financial Penalties for Environmental Pollution by Chinese Traditional Energy Enterprises

Frontiers in Environmental Science 2020 12 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 30 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Le Chang, Yadong Song, Tao Yu

Summary

Using game theory models, this study analyzed how different levels of financial penalties affect whether Chinese energy companies choose to illegally pollute. Penalties set too high reduce enforcement efficiency, while penalties too low fail to deter violations — suggesting penalties should be calibrated to actual profit from pollution.

The formulation of proper financial penalties plays an important role in regulating Chinese traditional energy enterprises’ illegal pollution. Through the construction of a mixed-strategy game model and an evolutionary game model for regulatory agencies and traditional energy enterprises, the article studies how financial penalties impact players’ strategies and evolutionary processes to optimize financial penalties. It found that excessive financial penalties could reduce enforcement, but insufficient financial penalties would cause more pollution discharge violations. The article concludes that Chinese environmental laws should focus more on setting reasonable penalties based on the profit from activities that generate illegal pollution rather than on the environmental damage to improve regulatory effectiveness.

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