工业智能化、关联企业技术溢出对全要素生产率的影响

郭金花, 常帅文, 谢雁翔

管理学报 ›› 2026, Vol. 23 ›› Issue (8) : 1411.

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管理学报 ›› 2026, Vol. 23 ›› Issue (8) : 1411.
组织与战略

工业智能化、关联企业技术溢出对全要素生产率的影响

  • 郭金花,常帅文,谢雁翔
作者信息 +

The Impact of Industrial Intelligence and Technology Spillover from Related Enterprises on Total Factor Productivity

  • GUO Jinhua,CHANG Shuaiwen,XIE Yanxiang
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文章历史 +

摘要

基于2011~2022年制造业上市公司数据,实证检验工业智能化、关联企业技术溢出对全要素生产率提升的影响。研究发现:①工业智能化对企业全要素生产率提升具有积极促进作用,且工业智能化带来的横向同行业企业间技术溢出、纵向上下游行业企业间技术溢出均有利于带动企业全要素生产率提升;②工业智能化通过促进企业间更深入的专业分工合作和供需高效匹配增强关联企业技术溢出,进而推动全要素生产率提升;③企业内部充裕的资源条件和外部适度的行业竞争环境有利于增强工业智能化的生产率赋能效应;加速工业智能化导致企业生产成本和管理成本激增,会在一定程度上引发“生产率悖论”。

Abstract

Based on the data of listed manufacturing companies from 2011 to 2022, this study empirically investigates the impact of industrial intelligence and technology spillover from associated enterprises on the improvement of total factor productivity. The research findings are as follows: ①Industrial intelligence promotes the improvement of total factor productivity of enterprises, which horizontal technology spillovers between enterprises in the same industry and vertical technology spillovers between enterprises in upstream and downstream industries are conducive to promoting the improvement of total factor productivity of enterprises. ②Industrial intelligence enhances the technology spillover of related enterprises by promoting deeper professional division of labor and efficient matching of the supply and demand among enterprises, thus promoting the improvement of total factor productivity. ③The abundant internal resource conditions of enterprises and the moderate external industry competition environment are conducive to enhancing the productivity empowerment effect of industrial intelligence. Accelerating industrial intelligence leads to a surge in enterprise production costs and management costs, which will lead to the “productivity paradox” to a certain extent.

关键词

工业智能化 / 关联企业技术溢出 / 全要素生产率 / 机制分析

Key words

industrial intelligence / related enterprise technology overflow / total factor productivity / mechanism analysis

引用本文

导出引用
郭金花, 常帅文, 谢雁翔. 工业智能化、关联企业技术溢出对全要素生产率的影响[J]. 管理学报. 2026, 23(8): 1411
GUO Jinhua, CHANG Shuaiwen, XIE Yanxiang. The Impact of Industrial Intelligence and Technology Spillover from Related Enterprises on Total Factor Productivity[J]. Chinese Journal of Management. 2026, 23(8): 1411

基金

国家自然科学基金资助青年科学基金项目(72102133);中国博士后科学基金第77批面上资助项目(2025M770672);山西省公共管理重大专项研究课题(SXSGGGLZD2514)

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