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人工智能与高新技术企业竞争力:机制与效应 被引量:6

Artificial Intelligence and High-tech Enterprise Competitiveness:Mechanism and Effect
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摘要 通过人工智能技术赋能制造企业的生产、运营过程,提升制造企业的知识化、智能化水平,是高新技术企业获得竞争优势的重要途径。文章从理论和实证两个方面分析了人工智能对高新技术企业竞争力提升的作用机制及效应。研究表明:人工智能提高了高新技术企业的成本加成率和全要素生产率,主要结论在稳健性检验后依然成立。异质性分析发现,人工智能对国有企业和经济不确定感知程度较高的高新技术企业的赋能效果更明显;同时,对处于低市场分割和实体经济基础较好地区的高新技术企业的赋能效果更明显。技术积累、员工结构优化、成本节约和效率提升是实现人工智能赋能高新技术企业竞争力的重要机制。研究结论对促进人工智能与高新技术制造业深度融合,实现经济高质量发展具有明显政策启示。 Empowering the production and operation processes of manufacturing enterprises through artificial intelligence(AI)technology and improving the knowledge and automation level of manufacturing enterprises is an important way for high-tech enterpri-ses to gain competitive advantages.This article theoretically and empirically analyzes the mechanism and effect of AI on enhancing the competitiveness of high-tech enterprises.The research shows that AI improves both markups and total factor productivity,and the main conclusion still holds after a series of robustness tests.The heterogeneity analysis shows that AI has a more significant empowe-ring effect on competitiveness of state-owned enterprises and high-tech enterprises with higher economic uncertainty perception enter-prises.Also,the effect is more pronounced for high-tech enterprises in regions with low market segmentation and good physical eco-nomic foundation.Technology accumulation effect,employee structure optimization effect,cost saving effect and efficiency improve-ment effect are important mechanisms for empowering high-tech enterprises with AI.The conclusion has obvious policy implications for promoting the deep integration of AI and high-tech manufacturing,and achieving high-quality economic development.
作者 杜传忠 曹效喜 刘书彤 DU Chuanzhong;CAO Xiaoxi;LIU Shutong(College of Economic and Social Development,Nankai University,Tianjin 300071,China;School of Economics,Nankai University,Tianjin 300071,China)
出处 《商业经济与管理》 CSSCI 北大核心 2024年第2期30-49,共20页 Journal of Business Economics
基金 国家社会科学基金重大项目“新一代人工智能对中国经济高质量发展的影响、趋向及应对战略研究”(20&ZD067) 国家社会科学基金重点项目“中国制造业关键技术缺失、成因及创新突破路径研究”(19AZD015)。
关键词 人工智能 高新技术企业 成本加成率 智能制造 artificial intelligence high-tech enterprises markups intelligent manufacturing
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