G2TT
来源类型Working Paper
规范类型论文
A Dynamic Enforcement Strategy to Improve Compliance with Environmental Regulations
Xiao-Bing Zhang; Jing Xu
发表日期2016-05-27
出版年2016
页码EfD DP 16-17
语种英语
摘要

This paper develops a stochastic dynamic programming model to investigate a type of dynamic enforcement strategy where the penalties for violations of environmental regulations are based on not only the current level of violations but also the firms’ past noncompliance records. The results show that firms’ optimal level of noncompliance would be a decreasing function of their accumulated noncompliance record and that a more stringent enforcement strategy can reduce the expected fines due to the reduced violations. Comparisons with the repeated static enforcement strategy indicate that the dynamic enforcement strategy can be superior in terms of reducing both violations and enforcement efforts.

主题Environmental Economics Topics
URLhttp://www.rff.org/research/publications/dynamic-enforcement-strategy-improve-compliance-environmental-regulations
来源智库Resources for the Future (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/41446
推荐引用方式
GB/T 7714
Xiao-Bing Zhang,Jing Xu. A Dynamic Enforcement Strategy to Improve Compliance with Environmental Regulations. 2016.
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