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Research on the collaborative mechanism of a data trading market based on a four-party evolutionary game in the context of digital intelligence

Author

Listed:
  • Li, Yue
  • Li, Guofu
  • Xu, Anfeng
  • Yao, Fengmin

Abstract

This paper aims to investigate how the strategic choices of regulatory agencies,transformation enterprises, data suppliers, and data trading platforms influence the vitality of the data trading market in the digital intelligence era, addressing existing challenges such as insufficient compliance and supply-demand mismatches. By integrating evolutionary game theory with system dynamics, this study constructs a four-party evolutionary game model for regulatory agencies, enterprises, data suppliers and trading platforms, and a simulation analysis was performed on the evolution path of the market equilibrium state caused by changes in key factors. The results indicate that: (1) a significant positive feedback mechanism exists between stringent regulation and active compliance by data suppliers, effectively alleviating compliance inadequacies; likewise, enterprise digital transformation and platform intelligent services also demonstrate significant positive feedback, contributing to resolving supply-demand mismatches. (2) Measures including enhanced regulatory benefits, reduced regulatory costs, increased benefits and reduced costs of enterprise digital transformation, and lowered platform intelligent upgrading costs collectively drive the market toward an ideal equilibrium (characterized by stringent regulation, active compliance, digital transformation, and intelligent services). Conversely, unfavorable conditions lead to a non-ideal equilibrium state, characterized by decreased compliance, reduced market participation, and lower efficiency.

Suggested Citation

  • Li, Yue & Li, Guofu & Xu, Anfeng & Yao, Fengmin, 2025. "Research on the collaborative mechanism of a data trading market based on a four-party evolutionary game in the context of digital intelligence," Socio-Economic Planning Sciences, Elsevier, vol. 100(C).
    • Handle: RePEc:eee:soceps:v:100:y:2025:i:c:s0038012125000874
    DOI: 10.1016/j.seps.2025.102238
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