基于演化博弈的场内数据交易主体运行策略研究

Research on the Operation Strategy of On-Exchange Data Trading Subjects Based on Evolutionary Game

摘要: 随着数据开始进行流通交易，各地的数据交易所陆续建立，探究场内交易主体的策略选择及其影响因素，对于解决目前场内交易额度低、主体参与积极性不高、市场监制不足等问题具有重要意义。本文构建包含企业、数据交易平台、政府三方的演化博弈模型，分析各参与方的策略演化路径及系统均衡点并进行数值仿真分析。研究表明：三方策略选择与收益、奖惩、成本以及风险等多重变量相关，同时三者的策略选择会互相影响；政府监管、平台引导会提高企业参与场内交易的积极性，而收益是企业参与场内交易的关键考量因素；企业作为数据供需双方，是实现场内交易运行机制达到纳什均衡的关键主体。

Abstract: With the beginning of data circulation and trading, data exchanges have been established in various places, and it is of great significance to explore the strategic choice and influencing factors of on-exchange trading entities to solve the current problems of low on-exchange trading quota, low enthusiasm of subject participation, and insufficient market supervision. In this paper, an evolutionary game model including enterprises, data trading platforms, and governments is constructed, and the strategy evolution paths and system equilibrium points of each participant are analyzed, and numerical simulation analysis is carried out. The results show that the tripartite strategy choice is related to multiple variables such as benefits, rewards and punishments, costs and risks, and the strategy choices of the three will affect each other. Government supervision and platform guidance will increase the enthusiasm of enterprises to participate in exchange transactions, and revenue is the key consideration factor for enterprises to participate in exchange transactions. As the supply and demand side of data, enterprises are the key subjects to achieve the Nash equilibrium of the on-exchange transaction operation mechanism.