摘要
数字经济背景下,平台企业的垄断行为与反垄断机制设计已成为当下研究的热点与难点问题.针对这一问题,先后在静态奖惩机制和动态奖惩机制下建立了政府部门、平台企业和社会公众的三方演化博弈模型.模型分析方面,重点讨论了两种奖惩机制下混合策略纳什均衡(mixed strategy Nash equilibrium,MNE)作为系统演化稳定策略(evolutionary stability strategy,ESS)的可能性及其系统演化特性,证明了动态奖惩机制下MNE或将是系统ESS,并经系统仿真予以证实.仿真结果表明,静态奖惩机制下博弈各方都将呈现出周期性的策略选择模式,而动态奖惩机制下系统渐近稳定于MNE,由此说明确实存在动态奖惩机制是静态奖惩机制的一个稳定性改进情形.最后,建议政府部门应制定动态可调整的奖惩机制,在加大对平台企业惩罚强度的同时,逐步降低对社会公众的奖励力度,此做法既能显著提高平台企业合规经营的概率,又能使政府部门和社会公众的平均期望效用得到改进.
In the context of the digital economy,the monopolistic behavior of platform enterprises and the design of antitrust mechanisms have become hot and difficult problems in current research.To solve this problem,a tripartite evolutionary game model among government,platform enterprises and the public was established under both static and dynamic reward&punishment mechanisms.In terms of model analysis,the possibility of mixed strategy Nash equilibrium(MNE)as an evolutionary stability strategy(ESS)under the two reward&punishment mechanisms and its system evolution characteristics were mainly discussed.It was proved that MNE under dynamic reward&punishment mechanisms may be the system ESS,and confirmed through system simulation.The simulation results indicate that under the static reward&punishment mechanism,all parties in the game will exhibit periodic strategy selection patterns,while under the dynamic reward&punishment mechanism,the system gradually stabilizes to MNE.This indicates that the existence of the dynamic reward&punishment mechanism is indeed a stability improvement compared to the static reward&punishment mechanism.Finally,it is suggested that government should develop dynamic reward&punishment mechanism,while increasing the intensity of punishment on platform enterprises and gradually reducing the intensity of rewards for the public.This approach can significantly increase the probability of compliance operation of platform enterprises and improve the expected utility of government and the public.
作者
蒋学海
郑婉琼
马本江
JIANG Xuehai;ZHENG Wanqiong;MA Benjiang(Beibu Gulf Ocean Development Research Center(Beibu Gulf University),Qinzhou 535011;Business School,Central South University,Changsha 410083)
出处
《系统科学与数学》
CSCD
北大核心
2024年第8期2213-2235,共23页
Journal of Systems Science and Mathematical Sciences
基金
国家社会科学基金一般项目(23BJY098)
教育部人文社会科学研究青年基金项目(23YJC790045)
广西高校中青年教师科研基础能力提升项目(2023KY0418)
广西高校人文社会科学重点研究基地北部湾海洋发展研究中心创新课题(BHZXSKY2012)资助课题。
关键词
数字平台
反垄断
动态奖惩
演化博弈
Digital platform
anti monopoly
dynamic reward&punishment
evolutionary game
