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Artificial intelligence and supply chain finance: Evidence from China11Dr. Jingxia Chai is currently an associate professor at School of Economics and Management, Yan'an University. Her research focuses on macroeconomics, business economics, ecological economics, and energy economics.Ms. Jiaqian Wang is currently a postgraduate student in finance at the School of Economics and Management, Yan'an University.Dr. Qicheng Yang is currently an assistant professor at School of Public Administration, Zhongnan University of Economics and Law. His research focuses on finance and energy economics

Author

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  • Chai, Jingxia
  • Wang, Jiaqian
  • Yang, Qicheng

Abstract

This study examines the impact of applying artificial intelligence (AI) technology on corporate supply chain finance (SCF) using panel data from 1508 listed Chinese companies from 2010 to 2024. Our findings indicate that AI significantly promotes SCF development. Mechanism analysis indicates that AI primarily promotes SCF development by enhancing firms' production and operational efficiency, strengthening innovation-driven capabilities, and improving commercial credit levels. Heterogeneity analysis shows that AI's positive effect on SCF development is more pronounced among high-tech firms, technology-intensive firms, and labor-intensive firms, as well as among highly financialized firms. Our findings have practical implications for firms seeking to use AI to optimize financing decisions and for policymakers designing digital economy strategies.

Suggested Citation

  • Chai, Jingxia & Wang, Jiaqian & Yang, Qicheng, 2026. "Artificial intelligence and supply chain finance: Evidence from China11Dr. Jingxia Chai is currently an associate professor at School of Economics and Management, Yan'an University. Her research focuses on macroeconomics, business economics, ecologic," Pacific-Basin Finance Journal, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:pacfin:v:99:y:2026:i:c:s0927538x26001484
    DOI: 10.1016/j.pacfin.2026.103202
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