数据市场制度建设的理论建模和动态分析

doi:10.11896/jsjkx.250400023

Abstract

Abstract: In the new era marked by the emergence and rapid development of technologies like artificial intelligence,data has become a core asset for enterprises and society.However,data market governance continues to face challenges such as insufficient economic incentives,difficulties in scientific quantification and evaluation,and prevalent covert infringements.Based on evolutio-nary game theory,this study constructs a tripartite game framework encompassing data providers,demanders,and regulatory platforms.Through the dynamic impact of factors including enterprise data development capabilities,public regulatory intensity,and participants'strategic choices on the evolution of data markets,it finds that enhancing enterprise data development capabilities is fundamental to activating market vitality and improving social welfare,yet it is also one of the catalysts for corporate violations,increasing public regulatory intensity can standardize market order but may simultaneously suppress innovative practices among certain enterprises.Through theoretical solutions and numerical simulations,the study not only reveals the nonlinear characteristics of factors such as regulatory efficacy and development capabilities,but also provides a critical basis for achieving scientifically quantifiable law enforcement.By implementing a dynamic regulatory mechanism and analytical model featuring a “incentive-constraint-compensation” trinity approach,market evolution patterns can be effectively predicted.Aligning with short-,medium-,and long-term market development goals,adjusting parameter settings within this “incentive-constraint-compensation” framework will enhance the scientific rigor of policy formulation and the precision of policy intensity.

Key words: Data governance, Mechanism design, Evolutionary game, Data markets

CLC Number:

TP301.6

SHANG Xixue, HAN Haiting, ZHU Zhengzhou, QU Xiuwei. Theoretical Modeling and Dynamic Analysis of Institutional Construction in Data Markets[J].Computer Science, 2025, 52(8): 17-28.

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