现代情报2025，Vol.45Issue(11)：116-129,14.DOI:10.3969/j.issn.1008-0821.2025.11.011
基于随机微分博弈的企业数据交易合作策略研究
Cooperative Strategies in Enterprise Data Trading Based on Stochastic Differential Game
摘要
Abstract
[Purpose/Significance]As an emerging core driving force for national economic growth,the data element exerts a multiplier effect through the digital economy.However,how to achieve data valorisation via collaboration among data market participants constitutes a critical challenge requiring urgent resolution.[Method/Process]This paper explored the cooperation mechanism and optimal strategy of the government,data element enterprises,and data service providers in enterprise data trading using a stochastic differential game model.Therefore,understanding the dynamic evolution rules of multi-party interactions within the data element market is particularly crucial.[Result/Conclusion]The results demon-strate that optimal cooperation strategies,optimal benefits,and total system benefits under the cooperative game mode con-sistently outperform those in the other two game modes,achieving Pareto optimality.The government cost subsidy coeffi-cient,as an effective adjustment mechanism,significantly increases the optimal benefits and total system benefits of data element enterprises and data service providers.Stochastic disturbing factors prevent enterprise data trading stock from sta-bilizing,maintaining persistent fluctuations around its expected value.Numerical simulation analysis verifies the theoreti-cal propositions,in order to provide a theoretical basis and reference for decision-making on enterprise data trading by the government,data element enterprises,and data service providers in the data supply chain.关键词
数据交易/数据价值化/企业数据/微分博弈/随机因素Key words
data trading/data valorisation/enterprise data/differential games/stochastic factors引用本文复制引用
苏婉,于森..基于随机微分博弈的企业数据交易合作策略研究[J].现代情报,2025,45(11):116-129,14.基金项目
国家社会科学基金一般项目"数据要素市场协同治理机制及服务模式创新研究"(项目编号:23BTQ078). （项目编号:23BTQ078）
