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人工智能与装备制造业高质量发展:理论分析与实证检验OACHSSCD

Artificial Intelligence and High-quality Development of Equipment Manufacturing Industry:Theoretical Analysis and Empirical Test

中文摘要英文摘要

本文在系统分析人工智能对装备制造业高质量发展作用机制的基础上,基于 2013~2022 年中国30个省(区、市)面板数据,采用多种计量方法实证检验了人工智能对装备制造业高质量发展的影响及其内在机制,并分析了该影响的区域异质性与数字基础设施水平异质性.研究发现:(1)人工智能对装备制造业高质量发展具有显著的正向促进作用,这一研究结论通过了内生性分析与稳健性检验;(2)人工智能可以通过提升人力资本水平与资源配置效率促进装备制造业高质量发展;(3)人工智能对装备制造业高质量发展的影响具有显著的区域异质性与数字基础设施水平异质性,东部地区与中部地区人工智能对装备制造业高质量发展具有显著的促进作用,而在西部地区没有显著影响,在东北地区具有显著的负向影响;地区数字基础设施水平较高时人工智能能够显著促进制造业高质量发展,而数字基础设施较低时没有影响.

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.

李政;王曼钰;邓晶晶

辽宁大学经济学院,沈阳 110036辽宁大学经济学院,沈阳 110036辽宁大学经济学院,沈阳 110036

管理科学

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

artificial intelligenceequipment manufacturing industryhigh-quality developmenthuman capitalresource allocation efficiencydigital infrastructurebidirectional fixed effects modelmediating effect model

《工业技术经济》 2026 (4)

5-15,11

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).

10.3969/j.issn.1004-910X.2026.04.001

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