科研管理

科研管理 ›› 2025, Vol. 46 ›› Issue (12): 23-32.DOI: 10.19571/j.cnki.1000-2995.2025.12.003

• 论文 • 上一篇    下一篇

人工智能应用对产业链韧性的影响研究——数字创新生态系统驱动视角

贾卫峰, 蒋泽宇   

  1. 西安邮电大学经济与管理学院，陕西 西安710061
  • 收稿日期:2024-11-13 修回日期:2025-05-21 接受日期:2025-05-21 出版日期:2025-12-20 发布日期:2025-12-15
  • 通讯作者: 贾卫峰
  • 基金资助:
    国家社会科学基金一般项目：“数字技术驱动下产业链与创新链深度融合模式及治理机制研究”（22BJY039，2022.09—2025.06）。

A study on the impact of artificial intelligence applications on industry chain resilience: A digital innovation ecosystem-driven perspective

Jia Weifeng, Jiang Zeyu   

  1. School of Economics and Management, Xi′an University of Posts and Telecommunications, Xi′an 710061, Shaanxi, China

  • Received:2024-11-13 Revised:2025-05-21 Accepted:2025-05-21 Online:2025-12-20 Published:2025-12-15

摘要：    数字创新生态系统的构建与完善为人工智能影响产业链韧性提供了重大机遇。基于2008—2021年省级面板数据，使用双重固定效应模型、中介效应模型以及调节效应模型，实证检验了数字创新生态系统驱动下人工智能应用对产业链韧性的影响效应。研究发现：（1）人工智能应用对产业链韧性具有正向影响，经过一系列稳健性检验和内生性处理后结论仍然成立。（2）数字创新生态系统驱动下，数字创新主体和数字创新平台在人工智能应用对产业链韧性的影响中发挥部分中介作用，数字生态环境在人工智能应用对产业链韧性的影响中发挥调节作用。（3）异质性分析发现，人工智能应用对产业链韧性的影响在中西部地区、数字创新生态系统高水平地区和产业结构高级化较低地区更为明显。本文不仅以新的研究视角揭示了人工智能作用于产业链韧性的内在机理，为在大变局环境下增强产业链韧性提供经验证据，还拓展了数字创新生态系统的定量研究，丰富既有理论内容。

关键词: 人工智能, 产业链韧性, 数字创新主体, 数字创新平台, 数字生态环境

Abstract:    The construction and improvement of digital innovation ecosystems provide huge opportunities for artificial intelligence (AI) applications to enhance industry chain resilience. Based on the provincial panel data from 2008 to 2021, this study employed a dual fixed-effects model, a mediation effect model, and a moderation effect model to empirically examine the impact of AI applications on industry chain resilience driven by digital innovation ecosystems. The findings are as follows: (1) AI applications positively influence industry chain resilience, and this conclusion remains robust after a series of robustness tests and addressing endogeneity issues; (2) Driven by digital innovation ecosystems, digital innovation bodies and digital innovation platforms partially mediate the impact of AI applications on industry chain resilience, while the digital ecological environment plays a moderating role in this relationship; and (3) The heterogeneity analysis revealed that the impact of AI applications on industry chain resilience is more pronounced in central and western regions, areas with high-level digital innovation ecosystems, and regions with lower levels of advanced industrial structures. This study has not only unveiled the intrinsic mechanisms through which AI enhances industry chain resilience from a novel research perspective, providing empirical evidence for strengthening chain resilience amidst global transformations, but also advanced quantitative research on digital innovation ecosystems, enriching the existing theoretical content.

Key words: artificial intelligence, industry chain resilience, digital innovation body, digital innovation platform, digital ecological environment