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April 18, 2026International Review of Economics & Finance1 citationsOpen Access

How Does Data Sovereignty Regulation in the AI Era Affect the Financial System's Risk Resistance?

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席席智国China University of Political Science and LawWLWeiyang LouShanghai University of Political Science and LawXZXiangjian ZhangShanghai University of Finance and Economics

Key Points

  • This research aims to understand how data sovereignty regulation impacts the financial system's ability to resist risks in the AI era.
  • Analyzed provincial panel data from China spanning 2009 to 2023
  • Assessed the relationship between data sovereignty regulation and financial risk resistance
  • Investigated the mediating role of intellectual property protection
  • Examined variations based on urban-rural income gaps and economic development levels
  • Data sovereignty regulation significantly enhances the financial system's risk resistance capability
  • Intellectual property protection mediates the relationship between data sovereignty regulation and risk resistance
  • The effect of data sovereignty regulation differs across provinces based on their economic and institutional contexts

Abstract

This study, based on provincial panel data from China covering the years 2009 to 2023, examines the impact of data sovereignty regulation in the era of artificial intelligence (AI) on the financial system's risk resistance capability, and analyzes the mediating role of intellectual property (IP) protection in this relationship. The results show that data sovereignty regulation significantly promotes the financial system's risk resistance capability; the strength of intellectual property protection plays a mediating role between data sovereignty regulation and the financial system's risk resistance capability; and the impact of data sovereignty regulation varies across provinces with different urban-rural income gaps, levels of economic development, and degrees of financial institutional development.

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Cite This Study

席智国 et al. (2026) studied this question.

synapsesocial.com/papers/69e31f7340886becb653eae6https://doi.org/10.1016/j.iref.2026.105287
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