Finance & Economics of Xinjiang ›› 2026, Vol. 0 ›› Issue (3): 47-58.DOI: 10.16716/j.cnki.65-1030/f.2026.03.005

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Constraint or Optimization: The Nonlinear Impact of Artificial Intelligence on Enterprise Income Distribution

LIU Dingrong1, SUN Shi2   

  1. 1 Guangdong University of Finance and Economics, Guangzhou 510320, China
    2 Guangdong Modern Mobile Internet Research Institute, Guangzhou 510320, China
  • Received:2025-10-06 Online:2026-09-08 Published:2026-06-25

制约抑或优化:人工智能对企业收入分配的非线性影响

刘丁蓉1, 孙仕2   

  1. 1 广东财经大学, 广东 广州 510320
    2 广东省现代移动互联网研究院, 广东 广州 510320
  • 作者简介:刘丁蓉(1979—),女,经济学博士,广东财经大学公共管理学院副教授,研究方向为数字治理与城乡发展;
    孙仕(1988—),男,就职于广东省现代移动互联网研究院,研究方向为数字治理。
  • 基金资助:
    教育部人文社会科学研究一般项目“数据要素驱动乡村产业高质量发展路径及差异化调控研究:生产要素协同视角”(23YJC790078)

Abstract:

Artificial intelligence has become a key driver of corporate transformation, with its impact on income distribution increasingly evident and reshaping the landscape. Based on micro-level data from A-share listed companies between 2008 and 2023, this study investigates the effects and mechanisms through which artificial intelligence influences corporate income distribution. The findings reveal that AI exerts a U-shaped nonlinear effect on corporate income distribution, characterized by an initial constraining phase followed by an optimization phase, with this effect being statistically significant across primary, secondary, and tertiary distribution. Artificial intelligence promotes human capital upgrading, drives structural transformation in labor forces, and enhances resource allocation efficiency, thereby indirectly exerting an inverted U-shaped nonlinear influence on income distribution. Moreover, the U-shaped impact of AI is more pronounced among firms with high operating profit margins, technology-driven enterprises, and those located in regions with strong innovation capacity. In the future, phased support mechanisms should be improved, an income distribution system centered on skill enhancement should be established, and differentiated AI empowerment strategies implemented to foster AI development and promote rationalization of corporate income distribution.

Key words: artificial intelligence, enterprise income distribution, human capital upgrade, labor force structure transformation, resource allocation efficiency

摘要:

人工智能已成为驱动企业变革的关键力量,其对企业收入分配的冲击与重塑效应日益凸显。文章基于2008—2023年我国沪深A股上市公司数据,探讨人工智能对企业收入分配的影响及作用机制。研究发现:人工智能研发应用对企业收入分配产生先制约后优化的U形非线性影响,且在初次分配、二次分配和三次分配环节均表现出显著的影响。人工智能研发应用可促进企业人力资本升级,推动劳动力结构转型,提升资源配置效率,进而间接对企业收入分配产生倒U形非线性影响。另外,人工智能对企业收入分配的U形非线性影响,在高营业利润率企业、技术驱动型行业企业以及高创新能力地区企业中更为突出。未来应进一步完善阶段性支持机制,构建以技能升级为核心的收入分配体系,并实施差异化人工智能赋能策略,推动企业收入分配更加公平合理。

关键词: 人工智能, 企业收入分配, 人力资本升级, 劳动力结构转型, 资源配置效率

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