当代财经 ›› 2026, Vol. 0 ›› Issue (6): 86-96.

• 智能经济 • 上一篇    下一篇

生成式人工智能如何助力企业供应链金融发展

丁南南1, 季侃2   

  1. 1.天津财经大学 会计学院,天津 300222;
    2.海南热带海洋学院 商学院,海南 三亚 572022
  • 收稿日期:2025-12-01 修回日期:2026-05-28 出版日期:2026-06-15 发布日期:2026-06-17
  • 通讯作者: 季侃,海南热带海洋学院副教授,管理学博士,主要从事公司金融与财务研究,联系方式icejk1983@163.com。
  • 作者简介:丁南南,天津财经大学博士研究生,主要从事公司金融与财务研究。
  • 基金资助:
    国家社会科学基金后期资助项目“注册制下企业内部控制信息披露偏差研究”(24FGLB066)

How Generative AI Empowers the Development of Enterprise Supply Chain Finance

Ding Nan-nan1, Ji Kan2   

  1. 1. Tianjin University of Finance and Economics, Tianjin 300222;
    2. Hainan Tropical Ocean University, Sanya 572022, China
  • Received:2025-12-01 Revised:2026-05-28 Online:2026-06-15 Published:2026-06-17

摘要: 随着生成式人工智能深度融入社会经济生活的各个领域,社会经济生活不断变革和创新。那么,如何借助生成式人工智能突破供应链金融发展瓶颈以助力实体经济发展?以2010—2024年中国A股上市企业为研究样本,检验了企业应用生成式人工智能对供应链金融发展的影响。结果表明,企业应用生成式人工智能可以显著促进供应链金融发展。机制检验表明,生成式人工智能可以维护供应链安全、提高企业运营效率和降低金融机构与企业之间的信息不对称程度,因而企业应用生成式人工智能可以促进供应链金融发展。进一步分析表明,属于非战略性新兴产业的企业和处于不确定性高的环境中的企业应用生成式人工智能更能促进供应链金融发展。因此,企业要充分利用生成式人工智能促进其业务与供应链金融相结合;政府部门要大力支持企业发展生成式人工智能,充分发挥生成式人工智能对产业链供应链的优化引领作用。

关键词: 生成式人工智能, 供应链金融, 供应链韧性, 信息不对称

Abstract: With the deep integration of generative artificial intelligence into various fields of social and economic life, social and economic life is constantly changing and innovating. So, how can we use generative artificial intelligence to break through the bottleneck of supply chain finance development and help promote the development of the real economy? Taking Chinese A-share listed companies from 2010 to 2024 as research samples, this study examines the impact of applying generative artificial intelligence on the development of supply chain finance. The results indicate that the application of generative artificial intelligence in enterprises can significantly promote the development of supply chain finance. The mechanism verification shows that generative artificial intelligence can maintain supply chain security, improve operational efficiency, and reduce information asymmetry between financial institutions and enterprises. Therefore, the application of generative artificial intelligence by enterprises can promote the development of supply chain finance. Further analysis shows that enterprises belonging to non strategic emerging industries and those in high uncertainty environments can better promote the development of supply chain finance by applying generative artificial intelligence. Therefore, enterprises should fully utilize generative artificial intelligence to promote the integration of their business with supply chain finance. The government should strongly support the development of generative artificial intelligence in enterprises and fully leverage its leading role in optimizing industrial and supply chains.

Key words: generative AI, supply chain finance, supply chain resilience, information asymmetry

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