工业技术经济2026，Vol.45Issue(4)：5-15,11.DOI:10.3969/j.issn.1004-910X.2026.04.001
人工智能与装备制造业高质量发展:理论分析与实证检验
Artificial Intelligence and High-quality Development of Equipment Manufacturing Industry:Theoretical Analysis and Empirical Test
摘要
Abstract
Based on a systematic analysis of the role and mechanism of artificial intelligence in the high-quality development of the equipment manufacturing industry,this article,using panel data from 30 provinces in China from 2013 to 2022,empirically examines the impact of artificial intelligence on the high-quality development of the equipment manufacturing industry and its inter⁃nal mechanism,and analyzes the regional heterogeneity and digital infrastructure level heterogeneity of this impact.The study finds:(1)Artificial intelligence has a significant positive promoting effect on the high-quality development of the equipment man⁃ufacturing industry,and this research conclusion has passed the endogeneity analysis and robustness test;(2)Artificial intelli⁃gence can promote the high-quality development of the equipment manufacturing industry by improving the level of human capital and the efficiency of resource allocation;(3)The impact of artificial intelligence on the high-quality development of the equipment manufacturing industry has significant regional heterogeneity and digital infrastructure level heterogeneity.The eastern and central regions have a significant promoting effect on the high-quality development of the equipment manufacturing industry through artificial intelligence,while the western regions have no significant impact,and the northeastern regions have a significant negative effect.When the level of digital infrastructure is high,artificial intelligence can significantly promote the high-quality development of the manufacturing industry,but when the digital infrastructure is low,there is no effect.关键词
人工智能/装备制造业/高质量发展/人力资本/资源配置效率/数字基础设施/双向固定效应模型/中介效应模型Key words
artificial intelligence/equipment manufacturing industry/high-quality development/human capital/resource allocation efficiency/digital infrastructure/bidirectional fixed effects model/mediating effect model分类
管理科学引用本文复制引用
李政,王曼钰,邓晶晶..人工智能与装备制造业高质量发展:理论分析与实证检验[J].工业技术经济,2026,45(4):5-15,11.基金项目
2025年中国国有企业研究院国有企业理论研究开放基金课题"装备制造业国有企业数智化转型研究"(项目编号:gqkfjj-yb-20250701). （项目编号:gqkfjj-yb-20250701）
