考虑信任的公私合作监管演化博弈分析:以新冠病毒医疗垃圾管理为例

Evolutionary game analysis of public-private cooperative supervision considering trust:taking medical waste management generated from COVID-19 as example

为提高政府与私人企业间的合作绩效,在构建未考虑与考虑信任水平的公私合作收益矩阵的基础上,提出相应的演化博弈模型,分析不同情形下政府与私人企业在新冠病毒(COVID-19)医疗垃圾管理中策略演化趋势。通过数值算例,对比分析未考虑与考虑信任水平的公私合作监管策略的演化轨迹,剖析惩罚成本对博弈双方策略演化轨迹的影响。研究结果表明:在新冠病毒医疗垃圾管理过程中,不仅需要考虑设计惩罚机制规避私人企业的机会主义行为,而且还需建立信任机制引导私人企业提供高质量服务,从而实现整体收益最大化的目标,进而促进整个系统的可持续发展。

To upgrade performance of cooperation between government and private enterprise,corresponding evolutionary game models were proposed on basis of constructing public-private cooperation payoff matrixes without and with considering level of trust.Strategies evolution trend of government and private enterprise in managing medical waste generated from COVID-19 under different situations were analyzed.Through numerical examples,evolutionary trajectory of public-private cooperative supervision strategies without and with taking trust level into consideration were implemented,and impact of punishment cost on evolutionary trajectory of both parties in game was analyzed.The results show that it is necessary to devise a punishment mechanism to avoid opportunistic behaviors of private enterprise and establish a trust mechanism to guide private enterprise to provide better quality service for managing medical waste generated from COVID-19.It can make goal regarding maximization of overall profit come true and promote sustainable development of the whole system.