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Method of Setting Environmental Administrative Fine Amounts.

Chang-Ying Hu1, Shi-Hai Zhu2

  • 1School of Mathematics, Renmin University of China, Beijing 100872, China.

International Journal of Environmental Research and Public Health
|June 2, 2021
PubMed
Summary

Mathematical models were developed to create fairer environmental administrative fines in China, ensuring penalties match violations and balancing public and violator interests for better environmental protection.

Keywords:
business operator’s interestenvironmental administrative fineenvironmental protectionpublic interest

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Area of Science:

  • Environmental Law and Policy
  • Mathematical Modeling
  • Environmental Economics

Background:

  • Environmental administrative fines in China exhibit significant arbitrariness, with penalties often not correlating to the severity of environmental offenses.
  • Existing penalty structures may not effectively deter violations or achieve an equitable balance between public interest and violators' concerns.

Purpose of the Study:

  • To develop a more rational and practical environmental punishment strategy using mathematical models.
  • To establish a framework for setting environmental administrative fines that align penalties with the gravity of environmental violations.
  • To balance the interests of violators and the public while allowing for law enforcement discretion within defined limits.

Main Methods:

  • Utilized mathematical modeling to determine optimal ranges for environmental administrative fines.
  • Incorporated the principle of balancing public interest against violator interests.
  • Allowed for a defined range of discretion for law enforcement officers.

Main Results:

  • The proposed mathematical model-based punishment scheme demonstrated superior effectiveness in supervising and deterring illegal environmental behaviors compared to existing legal penalty clauses.
  • Sensitivity analysis and comparative studies confirmed the stability and feasibility of the developed models.
  • The models offer significant advantages over current environmental administrative fine methodologies.

Conclusions:

  • The developed mathematical models provide a robust and feasible approach to regulating environmental administrative fines.
  • This strategy supports maintaining legal order, guiding business conduct towards environmental compliance, and ultimately enhancing environmental protection efforts.
  • The approach offers intellectual support for refining environmental law enforcement and promoting sustainable practices.