Evolutionary Game Analysis of Medical Waste Disposal in China under Different Reward and Penalty Models

Although local governments have issued relevant reward and penalty policies, there are still problems of medical waste disposal in China, particularly light the special situation COVID-19 pandemic. Furthermore, these generated game between enterprises. Accordingly, based on evolutionary theory, this paper establishes analyzes system enterprises under four modes: static penalty, dynamic penalty. The theoretical analysis is verified through numerical simulation a case China. results showed that when choose mode, hardly always has an stable state, or mode can make up for shortcomings mode. considerably better than other two modes, which best effect improving quality disposal. Additionally, if increases dynamically, tend to implement “relaxed supervision” strategy, will improve waste. suggestions proposed research conclusions offer some enlightenment policymakers formulate reasonable measures.