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