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March 3, 2026International Review of Economics & Finance1 citationsOpen Access

How does privacy protection affect the innovation performance of artificial intelligence corporations: empirical evidence from the personal information protection law

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YWYanling WangYJYingying JiangKLKaili Li

Key Points

  • Privacy protection significantly promotes key technological innovation, especially in non-state-owned firms.
  • Main findings indicate that privacy measures enhance r&d investment and improve labor efficiency.
  • Analysis reveals a positive correlation between privacy protection and collaborative environments within companies.
  • The study highlights the strategic value of privacy compliance as a means to foster long-term growth.

Abstract

As global data privacy protection regulations become increasingly stringent, privacy protection has emerged as a significant challenge for businesses. This study, based on AI companies listed on the Shanghai and Shenzhen A-share markets in China, empirically examines the impact of privacy protection on key technological innovation in AI firms and explores the underlying mechanisms through which this effect operates. The empirical results demonstrate that privacy protection significantly promotes innovation in key technological areas, especially in non-state-owned enterprises, non-loss-making firms, and firms with non-financial backgrounds, where the effect is particularly pronounced. Moreover, privacy protection indirectly drives core technological innovation by enhancing R&D investment, improving labor investment efficiency, and fostering a culture of collaboration. These findings underscore the importance of privacy protection not just as a compliance cost but as a strategic investment that can enhance long-term firm value. And it has important implications for investors, suggesting that privacy protection should be incorporated into investment evaluations and risk assessments, and can be a valuable signal of long-term sustainable growth.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69a76755badf0bb9e87e07ebhttps://doi.org/10.1016/j.iref.2026.104991
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