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Financial innovation in the logistics industry, artificial intelligence-driven, and corporate financing costs

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  • Jiang, Yonghong
  • Huang, Haokai

Abstract

Against the backdrop of the global digital economy and industrial upgrading, the logistics industry has emerged as a pivotal arena for financial innovation and artificial intelligence (AI) applications. Based on data from listed logistics companies in China from 2000 to 2023, this study investigates the impact of financial innovation and AI-driven initiatives in the logistics sector on corporate financing costs. The results indicate that financial innovation and AI-driven advancements in the logistics industry significantly reduce corporate financing costs. Heterogeneity analysis reveals that the impact of financial innovation and AI-driven initiatives on financing costs is more pronounced among small and medium-sized enterprises. Further moderation effect tests demonstrate that AI-driven factors play a moderating role in the relationship between financial innovation in the logistics industry and corporate financing costs. The findings of this study provide policy and practical references for optimizing the financing environment and reducing corporate costs.

Suggested Citation

  • Jiang, Yonghong & Huang, Haokai, 2025. "Financial innovation in the logistics industry, artificial intelligence-driven, and corporate financing costs," Finance Research Letters, Elsevier, vol. 86(PF).
    • Handle: RePEc:eee:finlet:v:86:y:2025:i:pf:s1544612325020707
    DOI: 10.1016/j.frl.2025.108816
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    References listed on IDEAS

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    1. Opeoluwa Adeniyi Adeosun & Richard O. Olayeni & Mosab I. Tabash & Suhaib Anagreh, 2023. "The dynamics of oil prices, uncertainty measures and unemployment: a time and frequency approach," China Finance Review International, Emerald Group Publishing Limited, vol. 13(4), pages 682-713, January.
    2. Elias G. Carayannis & Klitos Christodoulou & Panayiotis Christodoulou & Savvas A. Chatzichristofis & Zinon Zinonos, 2022. "Known Unknowns in an Era of Technological and Viral Disruptions—Implications for Theory, Policy, and Practice," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 587-610, March.
    3. Roberto Moro-Visconti & Salvador Cruz Rambaud & Joaquín López Pascual, 2023. "Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    4. Benjamin Kwame Amponsah & Paul Boadu Asamoah & Manso Frimpong, 2024. "The Impact of Artificial Intelligence in Logistics and Supply Chain in the USA – Focusing on Leading Industries in the 21st Century," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(11), pages 22-30, November.
    5. Xin, Wenhui, 2025. "The impact of corporate artificial intelligence on financial risk: Evidence from China," Finance Research Letters, Elsevier, vol. 81(C).
    6. Roberto Moro-Visconti, 2024. "Artificial Intelligence-Driven Industry Applications," Springer Books, in: Artificial Intelligence Valuation, chapter 0, pages 613-641, Springer.
    7. Mingyuan Guo & Chendi Zheng & Junyao Li, 2024. "Corporate social responsibility and debt financing cost: evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 17475-17503, July.
    8. Chen, Yonghuai & Li, Tao & Zeng, Qing & Zhu, Bo, 2023. "Effect of ESG performance on the cost of equity capital: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 348-364.
    9. Shahsuzan Zakaria & Suhaily Maizan Abdul Manaf & Mohd Talmizie Amron & Mohd Taufik Mohd Suffian, 2023. "Has the World of Finance Changed? A Review of the Influence of Artificial Intelligence on Financial Management Studies," Information Management and Business Review, AMH International, vol. 15(4), pages 420-432.
    10. Bernardo Nicoletti, 2025. "Project for AI-Driven Logistics Implementation and Utilization," Springer Books, in: Artificial Intelligence for Logistics 5.0, chapter 0, pages 237-266, Springer.
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