基于三方演化博弈的数据交易市场治理研究  

Research on Data Trading Market Governance Based on Tripartite Evolutionary Game Theory

作　　者：谢雪梅[1] 段莹莹 XIE Xuemei;DUAN Yingying(School of Economics and Management,Beijing University of Posts and Telecommunications,Beijing 100876,China)

机构地区：[1]北京邮电大学经济管理学院,北京100876

出　　处：《科技和产业》2025年第1期315-324,共10页Science Technology and Industry

摘　　要：数据交易是数据要素流通的重要形式。通过构建“数据交易平台-数据提供方-数据需求方”的演化博弈模型,揭示数据交易市场存在着不协作、低效和理想3种均衡状态。平台较高的技术创新初始意愿、合理的收益分配系数、较低的竞争优势损失可以促进系统向理想均衡状态演化;而过高的数据价格和技术创新成本会使系统陷入不协作或低效均衡状态。因此,可以通过提升主体意识、制定公平合理的收益分配机制和数据产品价格、支持平台技术创新来促进数据交易市场的发展。Data trading is an important form of data elements circulation.By constructing an evolutionary game model of“data trading platform-data providers-data demanders,”it is revealed that the data trading market exists in three equilibrium states:non-cooperation,inefficiency,and ideal.A higher initial willingness for technological innovation by the platform,a reasonable profit distribution coefficient,and a lower loss of competitive advantage can promote the system to evolve towards an ideal equilibrium state;whereas high data prices and technological innovation costs can lead the system into a state of non-cooperation or inefficiency.Therefore,the development of the data trading market can be promoted by enhancing the awareness of the subjects,establishing a fair and reasonable profit distribution mechanism and data product pricing,and supporting technological innovation in the platform.

关 键 词：数据交易 数据要素 演化博弈 市场治理 

分 类 号：F49[经济管理—产业经济]