Evolutionary Game and Simulation Research on Digital Platform Anti Monopoly Under Different Reward & Punishment Mechanisms
In the context of the digital economy,the monopolistic behavior of plat-form 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 anal-ysis,the possibility of mixed strategy Nash equilibrium(MNE)as an evolutionary stability strategy(ESS)under the two reward & punishment mechanisms and its sys-tem 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 re-ward & 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 in-tensity 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.
Digital platformanti monopolydynamic reward & punishmentevolu-tionary game
万方数据
维普
