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从技术引进到自主突破:人工智能对企业关键核心技术突破的影响研究

洪元元 王宁 刘晓康

经济与管理研究2026,Vol.47Issue(4):49-63,15.
经济与管理研究2026,Vol.47Issue(4):49-63,15.DOI:10.13502/j.cnki.issn1000-7636.2026.04.004

从技术引进到自主突破:人工智能对企业关键核心技术突破的影响研究

From Technology Introduction to Indigenous Breakthrough:Impact of AI on Firms'Breakthroughs in Core Technologies in Key Fields

洪元元 1王宁 1刘晓康1

作者信息

  • 1. 郑州大学商学院,郑州,450001
  • 折叠

摘要

Abstract

The bottleneck of core technologies in key fields has increasingly become a major constraint on China's industrial security,national security,and high-quality economic development.Meanwhile,artificial intelligence(AI)is profoundly reshaping firms'modes of production,knowledge acquisition patterns,and technological innovation paradigms.In this context,whether and how AI promotes firms'breakthroughs in core technologies in key fields has become an important research issue.Using panel data of Chinese A-share listed companies in Shanghai and Shenzhen from 2009 to 2024,this paper develops a firm-level measure of AI and empirically examines its impact on breakthroughs in core technologies in key fields. The results show that AI can promote firms'breakthroughs in core technologies in key fields,and this conclusion remains robust after addressing potential endogeneity concerns and conducting a series of robustness tests.Mechanism analysis indicates that AI facilitates breakthroughs in core technologies in key fields primarily by strengthening firms'dynamic capabilities,particularly innovation capability,knowledge absorptive capacity,and adaptive capability.Further analysis reveals notable heterogeneity in this effect,with stronger impacts observed among firms located in eastern regions,firms operating in non-high-tech intensive industries,firms in the growth stage,and large-sized firms.Moreover,AI contributes to enhancing firms'market competitiveness,suggesting that breakthroughs in core technologies in key fields further consolidate firms'competitive advantages. The marginal contributions are reflected in several aspects.First,this paper improves the measurement of firm-level AI by refining existing AI dictionaries and removing negative contextual terms,macro-trend descriptions,and intention-oriented expressions.Second,it integrates AI and breakthroughs in core technologies in key fields into a unified analytical framework,thereby enriching the literature on the determinants of breakthroughs in core technologies in key fields.Third,based on dynamic capability theory,this paper reveals the internal paths through which AI promotes breakthroughs in core technologies in key fields.Finally,it further examines the economic consequences of AI by analyzing its effects on firms'market competitiveness. The findings suggest that policies should accelerate the diffusion and application of AI,improve AI-related infrastructure and public service platforms,and promote the deep integration of AI with firms'innovation activities.Meanwhile,differentiated policy support should be implemented according to regional conditions,industrial characteristics,and firm life-cycle stages.In addition,efforts should be made to enhance firms'innovation capability,knowledge absorptive capacity,and adaptive capability to fully unleash the empowering role of AI in facilitating breakthroughs in core technologies in key fields.

关键词

人工智能/关键核心技术突破/创新能力/吸收能力/适应能力

Key words

artificial intelligence/breakthroughs in core technologies in key fields/innovation capability/absorptive capacity/adaptive capacity

分类

管理科学

引用本文复制引用

洪元元,王宁,刘晓康..从技术引进到自主突破:人工智能对企业关键核心技术突破的影响研究[J].经济与管理研究,2026,47(4):49-63,15.

基金项目

河南省软科学研究计划重大项目"河南省进一步深化科技体制改革提升创新体系整体效能对策研究"(252400411003) (252400411003)

河南省教育科学规划重大课题项目"智能化时代教育变革问题研究"(2025-JKZB-01) (2025-JKZB-01)

河南省高校哲学社会科学研究重大项目"城市收缩的社会需求抑制效应及应对策略研究"(2026-JCZD-09) (2026-JCZD-09)

经济与管理研究

OACHSSCD

1000-7636

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