财经论丛 ›› 2026, Vol. 42 ›› Issue (4): 77-90.

• 财务与会计 • 上一篇    下一篇

人工智能技术应用与企业股利分配:影响与机制

曹智铭, 谭淳丰, 王建新   

  1. 中国财政科学研究院,北京 100142
  • 收稿日期:2025-06-26 出版日期:2026-04-10 发布日期:2026-04-09
  • 作者简介:曹智铭(1994—),男,湖南常宁人,中国财政科学研究院博士生;谭淳丰(2002—),男,湖南衡阳人,中国财政科学研究院硕士生;王建新(1973—),男,湖南衡阳人,中国财政科学研究院研究员,博士生导师。
  • 基金资助:
    国家自然科学基金青年项目(72002144)

Application of Artificial Intelligence Technology and Corporate Dividend Distribution: Impact and Mechanism

CAO Zhiming, TAN Chunfeng, WANG Jianxin   

  1. Chinese Academy of Fiscal Sciences, Beijing 100142, China
  • Received:2025-06-26 Online:2026-04-10 Published:2026-04-09

摘要: 数字经济时代,人工智能已成为企业转型升级实现可持续发展的重要战略工具。然而,人工智能技术应用需要持续、大量的资源投入,可能会抑制企业股利分配。在此背景下,从人工智能视角探究其对企业内部资源分配问题的影响具有重要意义。本文利用2013—2023年A股上市公司数据,实证检验人工智能技术应用对企业股利分配政策的影响及机制。研究发现,人工智能技术应用抑制了企业股利分配概率和股利分配强度。机制分析表明,人工智能技术应用会通过加强研发投入、提升风险承担水平和ESG表现三个方面抑制企业股利分配。异质性分析表明,人工智能技术应用对股利分配的抑制效应在小规模企业、非资本密集型企业、低行业竞争企业中更显著。特别是,人工智能技术应用对现金股利分配强度的抑制,无论在要素市场发育水平高或低的组都显著,而对现金股利分配倾向的抑制则在要素市场发育水平高的分组显著,在低的分组不显著。研究在理论上拓展了股利分配政策的影响机制,实践上为人工智能技术应用推广和促进企业可持续发展提供了一定的参考价值和现实借鉴。

关键词: 人工智能, 技术应用, 研发投入, ESG表现, 可持续发展

Abstract: In the era of digital economy, artificial intelligence (AI) has become a crucial driving force for enterprises to transform, upgrade, and achieve sustainable development. Against this backdrop, exploring the impact of AI on the internal resource allocation of enterprises from the perspective of AI is of great significance. Based on this, this study uses the data of A-share listed companies from 2013 to 2023 to empirically test the impact and mechanism of AI technology application on corporate dividend distribution policies. The research finds that the application of AI technology inhibits the probability and intensity of corporate dividend distribution. After a series of robustness tests, the conclusion remains consistent. Mechanism analysis shows that the application of AI technology inhibits corporate dividend distribution in three aspects: strengthening R&D investment, improving risk-taking levels, and enhancing ESG performance. Heterogeneity analysis indicates that the inhibitory effect of AI technology application on dividend distribution is more significant in small-scale enterprises, non-capital-intensive enterprises, and enterprises with low industry competition. Notably, the inhibition of AI technology application on the intensity of cash dividend distribution is significant regardless of the level of factor market development, while the inhibition on the propensity of cash dividend distribution is significant in the group with a high level of factor market development but not in the low-level group. This study theoretically expands the influence mechanism of dividend distribution policies and practically provides certain reference value and practical significance for the promotion of AI technology application and the promotion of sustainable enterprise development.

Key words: Artificial Intelligence, Technology Application, R&D Investment, ESG Performance, Sustainable Development

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