Research on the evolutionary game theory of government-platform e-commerce collaborative regulation of big data"killing off"
To effectively curb the big data"killing off"behavior of platform sellers in the context of the digital e-conomy and promote the high-quality development of the platform economy,this paper,based on existing re-search and using evolutionary game theory as the core,analyzes the interest game relationship between the gov-ernment,platform e-commerce,and platform sellers in the context of information asymmetry,and constructs a collaborative regulatory incentive mechanism model.By introducing government regulations,the optimal punish-ment intensity,optimal incentive supervision coefficient,and evolution direction of each entity's behavior for e-commerce between the government and the platform are solved.The impact of exogenous variables on the optimal strategy selection of each entity during big data"killing off"regulation is discussed,the superiority and necessity of collaborative regulation proven,and theoretical reference provided for the regulation of online trading markets.
digital economybig data"killing off"evolutionary gamenumerical simulation
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