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Government-guided funds and the rise of corporate AI: Evidence from China

Author

Listed:
  • Lu, Junwei
  • Gao, He
  • Yang, Laifeng
  • Liu, Zhangxin (Frank)

Abstract

We investigate how Government-Guided Funds (GGFs) influence corporate artificial intelligence (AI) development in China. Using panel data for Chinese A-share listed firms from 2012 to 2023, we find that GGFs significantly promote AI advancement through three complementary mechanisms: resource empowerment, signalling certification, and facilitation of firms' integration into platform ecosystems. This effect remains robust across multiple empirical tests. The positive impact of GGFs is stronger among firms facing more intense market competition, in regions with higher levels of intellectual property protection, and in areas where governments place greater policy emphasis on AI. Further analyses show that GGFs do not crowd out non-AI innovation; instead, they generate an innovation diffusion effect. By advancing firms' AI capabilities, GGFs contribute to employment growth, workforce upgrading, and higher labour income shares, highlighting their dual role in promoting technological innovation and improving social welfare.

Suggested Citation

  • Lu, Junwei & Gao, He & Yang, Laifeng & Liu, Zhangxin (Frank), 2026. "Government-guided funds and the rise of corporate AI: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 95(C).
  • Handle: RePEc:eee:pacfin:v:95:y:2026:i:c:s0927538x25003415
    DOI: 10.1016/j.pacfin.2025.103004
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    References listed on IDEAS

    as
    1. Hong, Jin & Feng, Bing & Wu, Yanrui & Wang, Liangbing, 2016. "Do government grants promote innovation efficiency in China's high-tech industries?," Technovation, Elsevier, vol. 57, pages 4-13.
    2. Ma, Hongmei & Gao, Qian & Li, Xiuzhen & Zhang, Yun, 2022. "AI development and employment skill structure: A case study of China," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 242-254.
    3. Zhang, Yuxin & Zhou, Yaodong, 2025. "The impact of government industrial funds on the innovation of SMEs in China," Journal of Asian Economics, Elsevier, vol. 97(C).
    4. Sheng Xu & Yaoxiong Li & Durell Esperance Manguet Ndinga, 2024. "Guidance Certification Effect and Governance Supervision Effect of Government Investment Funds," IJFS, MDPI, vol. 12(2), pages 1-22, May.
    5. Bill Francis & Iftekhar Hasan & Ying Huang & Zenu Sharma, 2012. "Do Banks Value Innovation? Evidence from US Firms," Financial Management, Financial Management Association International, vol. 41(1), pages 159-185, March.
    6. Jia, Haoyi & Che, Weina, 2025. "Institutional investor stability, executive equity incentives, and corporate innovation," Finance Research Letters, Elsevier, vol. 83(C).
    7. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    8. Xiaofang Jia & Baojian Xie & Xingan Wang, 2024. "The impact of network infrastructure on enterprise digital transformation ——A quasi-natural experiment from the “broadband China” Strategy," Applied Economics, Taylor & Francis Journals, vol. 56(12), pages 1363-1380, March.
    9. Massimo Colombo & Douglas Cumming & Silvio Vismara, 2016. "Governmental venture capital for innovative young firms," The Journal of Technology Transfer, Springer, vol. 41(1), pages 10-24, February.
    10. Chen, Baodong & Pan, Qiao & Wu, Shuai, 2024. "Can government guided funds alleviate corporate financing constraints? Evidence from China," Finance Research Letters, Elsevier, vol. 66(C).
    11. Hao, Panpan & Wang, Yuchen & Fan, Liyan, 2025. "Government-guided fund, social resources, and corporate green innovation," International Review of Financial Analysis, Elsevier, vol. 98(C).
    12. Sakaki, Hamid & Jory, Surendranath Rakesh, 2019. "Institutional investors' ownership stability and firms' innovation," Journal of Business Research, Elsevier, vol. 103(C), pages 10-22.
    13. Fan, Xiamin & Wu, Yuhui & Zhou, Yucheng & Wu, Shinong, 2025. "How does artificial intelligence shock affect labor income distribution? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
    14. Zhang, Xubo & Zhang, Xinyu & Tu, Yanbin, 2025. "The paradox of government-guided funds: A negative impact on corporate ESG performance?!," Finance Research Letters, Elsevier, vol. 75(C).
    15. Qi, Yu & Su, Hang, 2025. "Can artificial intelligence mitigate corporate fraud? Exploring the influence of institutional cross-holdings and financial misallocation," Pacific-Basin Finance Journal, Elsevier, vol. 92(C).
    16. Wu, Yulin & Zhang, Jiahui & Cai, Xinyu, 2025. "Impact of regional artificial intelligence development on corporate environmental information," Finance Research Letters, Elsevier, vol. 80(C).
    17. Huang, Xinfei & Zhang, Yue & Zong, Zhe, 2025. "Governmental venture capital and investor sentiment: Evidence from Chinese government guidance funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 99(C).
    18. Zhou, Xiaoyong & Li, Gaochao & Wang, Qunwei & Li, Yangganxuan & Zhou, Dequn, 2025. "Artificial intelligence, corporate information governance and ESG performance: Quasi-experimental evidence from China," International Review of Financial Analysis, Elsevier, vol. 102(C).
    19. Erik Engberg & Patrik Gustavsson Tingvall & Daniel Halvarsson, 2021. "Direct and indirect effects of private- and government-sponsored venture capital," Empirical Economics, Springer, vol. 60(2), pages 701-735, February.
    20. Yang, Ying & An, Ran & Song, Jie, 2025. "Impact of enterprise artificial intelligence on social responsibility: Evidence from text analysis," Finance Research Letters, Elsevier, vol. 75(C).
    21. Hu, Guoqiang & Luo, Jin-hui & Han, Liang & Liu, Tianbao, 2024. "Does media spotlight really burn innovation? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 83(C).
    22. Wang, Lanfang & Wang, Yue & Zhou, Jing, 2022. "Political connection,government R&D subsidies and innovation efficiency: Evidence from China," Finance Research Letters, Elsevier, vol. 48(C).
    23. Wang, Changlin & Jiao, Du, 2025. "Impact of artificial intelligence on the labor income distribution: Labor substitution or production upgrading?," Finance Research Letters, Elsevier, vol. 73(C).
    24. Zhang, Ping & Wang, Yiru, 2023. "The bright side of analyst coverage on corporate innovation: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 89(C).
    25. Si Luo, 2022. "Digital Finance Development and the Digital Transformation of Enterprises: Based on the Perspective of Financing Constraint and Innovation Drive," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    26. Jia, Junxue & Ma, Guangrong, 2017. "Do R&D tax incentives work? Firm-level evidence from China," China Economic Review, Elsevier, vol. 46(C), pages 50-66.
    27. Helmut Fryges & Karsten Kohn & Katrin Ullrich, 2015. "The Interdependence of R&D Activity and Debt Financing of Young Firms†," Journal of Small Business Management, Taylor & Francis Journals, vol. 53(S1), pages 251-277, October.
    28. Li, Huanyu & Wu, Hao & Rao, Jian, 2025. "Impact of artificial intelligence on corporate green transformation," Finance Research Letters, Elsevier, vol. 80(C).
    29. Liu, Jiaqi & Qin, Chuan & Chu, Xiaojing, 2025. "Development of corporate artificial intelligence and the quality of export products," Finance Research Letters, Elsevier, vol. 78(C).
    30. Huergo, Elena & Moreno, Lourdes, 2017. "Subsidies or loans? Evaluating the impact of R&D support programmes," Research Policy, Elsevier, vol. 46(7), pages 1198-1214.
    31. Youngsam Chun & Jisoo Hur & Junseok Hwang, 2024. "AI technology specialization and national competitiveness," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-26, April.
    32. Ziyang Yue & Gangqiang Yang & Haisen Wang, 2023. "How do tax reductions motivate technological innovation?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
    33. Si Luo & Miaochao Chen, 2022. "Digital Finance Development and the Digital Transformation of Enterprises: Based on the Perspective of Financing Constraint and Innovation Drive," Journal of Mathematics, Hindawi, vol. 2022, pages 1-10, March.
    34. Siying Yang & Shunyu Ma & Jingjing Lu, 2022. "Can government venture capital guidance funds promote urban innovation? Evidence from China," Growth and Change, Wiley Blackwell, vol. 53(2), pages 753-770, June.
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    Keywords

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    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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