人工智能如何赋能企业新质生产力  

How Artificial Intelligence Empowers New Quality Productive Forces of Enterprises

作　　者：徐红丹 王玖河[1] Xu Hongdan;Wang Jiuhe(School of Economics and Management,Yanshan University,Qinhuangdao 066004,China)

机构地区：[1]燕山大学经济管理学院,河北秦皇岛066004

出　　处：《科技进步与对策》2025年第7期1-8,共8页Science & Technology Progress and Policy

摘　　要：提升智能化水平是企业加快形成新质生产力的关键举措。选取2013—2022年A股上市公司为研究样本,探讨人工智能对企业新质生产力的赋能机制。结果发现:人工智能通过增强数字创新能力、提高供应链效率和降低信息不对称程度赋能企业新质生产力。异质性分析发现,人工智能对不同类型企业新质生产力的赋能作用存在显著差异。具体而言,在国有企业、劳动密集程度较高企业、高技术行业企业以及财政支持力度较大地区企业中,人工智能对新质生产力的赋能作用更显著。结论揭示人工智能在企业运营过程中的赋能作用,为推动企业新质生产力发展提供有益参考。Elevating the level of intelligence is a pivotal measure for enterprises to expedite the formation of new quality productive forces.As a new generation of digital technology,artificial intelligence has realized subversive innovation in production methods,production processes and models,accelerated the transformation of production factors to production capacity,and provided new momentum for developing new quality productivity.However,most existing research on artificial intelligence focuses on the macro level.More literature needs to be examining how artificial intelligence technology empowers the development of enterprises'new quality productive forces.Therefore,this paper delves into artificial intelligence's empowerment path for enterprises'new quality productive forces.This study focuses on A-share listed companies from 2013 to 2022 to explore the impact of artificial intelligence on the new quality of productive forces within enterprises and the mechanisms that facilitate this influence.Drawing on the theoretical insights,it develops a regression model to assess the effects of AI and further examines the mechanisms through three key lenses:technology empowerment,efficiency empowerment,and information empowerment.To ensure the robustness of the findings,the study performs a series of rigorous checks.These include substituting variable indicators,applying the Propensity Score Matching(PSM)technique,conducting Two-Stage Least Squares(2SLS)regression analysis,and employing a quasi-experimental design centered on the smart transformation of pivotal industries.The results consistently demonstrate the robustness and reliability of our conclusions.Lastly,the empowering effect of artificial intelligence on new quality productive forces can significantly differ because of the distinct internal characteristics and external environment of enterprises.Consequently,the study conducts a heterogeneity analysis of the main effects across three core dimensions of enterprise-level,industry-level,and regional differences.The stu

关 键 词：人工智能 新质生产力 数字创新能力 供应链效率 

分 类 号：F272[经济管理—企业管理]