财经论丛 ›› 2025, Vol. 41 ›› Issue (1): 92-105.

• 工商管理 • 上一篇    下一篇

企业人工智能战略退出是否抑制了新质生产力?——基于PSM-多时点DID的实证研究

张轩铭1, 陆彬2, 王振华3, 李佳楠4   

  1. 1.对外经济贸易大学保险学院, 北京 100029;
    2.中国矿业大学经济管理学院, 江苏 徐州 221116;
    3.对外经济贸易大学国际商学院, 北京 100029;
    4.同济大学经济与管理学院, 上海 200092
  • 收稿日期:2024-05-13 出版日期:2025-01-10 发布日期:2025-01-13
  • 作者简介:张轩铭(2002—),男,江苏阜宁人,对外经济贸易大学保险学院博士生;陆彬(2001—),男,江苏无锡人,中国矿业大学经济管理学院博士生;王振华(1986—),男,山东威海人,对外经济贸易大学商学院博士,对外经济贸易大学财务处会计师;李佳楠(2000—),男,山东临沂人,同济大学经济与管理学院博士生。

Does the Exit of Corporate Artificial Intelligence Strategy Suppress New Quality Productive Forces? An Empirical Study Based on PSM-Staggered DID

ZHANG Xuanming1,LU Bin2,WANG Zhenhua3,LI Jianan4   

  1. 1. School of Insurance and Economics, University of International Business and Economics, Beijing 100029, China;
    2. School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China;
    3. International Business School, University of International Business and Economics, Beijing 100029, China;
    4. School of Economics & Management, Tongji University, Shanghai 200092, China
  • Received:2024-05-13 Online:2025-01-10 Published:2025-01-13

摘要: 人工智能已逐步成为引领科技革命、推动产业变革的战略性支柱技术。尽管基于实物期权理论,人工智能战略可视为一项能为企业带来价值的成长性期权,但部分企业却终止人工智能战略,进而影响新质生产力发展。本文选取中国沪深A股上市公司作为研究样本,运用多时点双重差分模型进行实证分析。研究结果发现,人工智能战略退出显著抑制企业新质生产力发展,对于人工智能技术累积水平和数据要素利用水平高的企业,该抑制作用更强。机制分析显示,企业的吸收能力、适应能力、整体动态能力以及资源配置效率在人工智能战略退出抑制企业新质生产力的过程中发挥中介作用。拓展性分析表明,正式制度因素中创新补助缓解人工智能战略退出的抑制作用,而政府补助则放大该抑制作用;非正式制度因素中儒家文化和红色文化缓解人工智能战略退出的抑制作用,而合作文化和竞争文化则放大该抑制作用。本文揭示了企业人工智能战略退出对新质生产力的抑制作用,为企业战略规划和政府政策制定提供实践启示。

关键词: 新质生产力, 人工智能, 企业战略, 动态能力, 资源配置效率

Abstract: Artificial Intelligence has gradually become a strategic pillar technology leading the technological revolution and driving industrial change. Although AI strategy can be regarded as a growth option that can bring value to enterprises based on the real option theory, some enterprises terminate their AI strategy, which in turn affects the development of new quality productive forces. This paper selects Chinese A-share listed companies in Shanghai and Shenzhen as the research sample and empirically analyzes them using a multi-temporal double-difference model. The study finds that AI strategy exit significantly inhibits firms' new quality productive forces development; the inhibition is stronger for firms with high levels of AI technology accumulation and data factor utilization. Mechanism analysis shows that the absorptive capacity, adaptive capacity, overall dynamic capacity, and resource allocation efficiency of enterprises play a mediating role in the process of AI strategic exit inhibiting enterprises' new quality productive forces. Expansiveness analysis shows that innovation subsidies mitigate the inhibitory effect and government subsidies amplify the inhibitory effect in formal institutional factors, while Confucian culture and red culture mitigate the inhibitory effect and cooperative culture and competitive culture amplify the inhibitory effect in informal institutional factors. This paper reveals the inhibitory effect of corporate AI strategic exit on new quality productive forces, providing practical insights for corporate strategic planning and government policy making.

Key words: New Quality Productive Forces, Artificial Intelligence, Corporate Strategy, Dynamic Capabilities, Resource Allocation Efficiency

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