Artificial Intelligence and Enterprise Technological Innovation: Evidence From China

IF 2.7 3区经济学 Q2 ECONOMICS

Managerial and Decision Economics Pub Date : 2025-06-24 DOI:10.1002/mde.70002

Yang Zhang, Yuexian Chang, Xiaolei Zhang, Haoyu Zhou

{"title":"Artificial Intelligence and Enterprise Technological Innovation: Evidence From China","authors":"Yang Zhang, Yuexian Chang, Xiaolei Zhang, Haoyu Zhou","doi":"10.1002/mde.70002","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This paper investigates the impact of artificial intelligence (AI) on the technological innovation (TI) of enterprises and explores its mechanisms of action based on data from Chinese enterprises. This study finds that AI significantly promotes enterprise TI. The reliability of these conclusions is validated through instrumental variable regression and robustness tests. Key mechanisms through which AI enhances enterprise innovation include total factor productivity (TFP) improvement, human capital structure optimization, and digital transformation. The level of internal R&D focus within enterprises plays a positive moderating role in the incentive effects of AI on TI. AI can not only enhance the quantity of technological innovation but also promote the diffusion of technology. Enterprises in the service industry exhibit stronger effects. Therefore, it is recommended that governments increase support for AI technologies, promote the integration of traditional industries, and improve talent training mechanisms. This would allow AI to play a more positive role in fostering enterprise TI and driving high-quality economic development.</p>\n </div>","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"46 7","pages":"4056-4069"},"PeriodicalIF":2.7000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Managerial and Decision Economics","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mde.70002","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}

引用次数: 0

Abstract

This paper investigates the impact of artificial intelligence (AI) on the technological innovation (TI) of enterprises and explores its mechanisms of action based on data from Chinese enterprises. This study finds that AI significantly promotes enterprise TI. The reliability of these conclusions is validated through instrumental variable regression and robustness tests. Key mechanisms through which AI enhances enterprise innovation include total factor productivity (TFP) improvement, human capital structure optimization, and digital transformation. The level of internal R&D focus within enterprises plays a positive moderating role in the incentive effects of AI on TI. AI can not only enhance the quantity of technological innovation but also promote the diffusion of technology. Enterprises in the service industry exhibit stronger effects. Therefore, it is recommended that governments increase support for AI technologies, promote the integration of traditional industries, and improve talent training mechanisms. This would allow AI to play a more positive role in fostering enterprise TI and driving high-quality economic development.

查看原文本刊更多论文

人工智能与企业技术创新：来自中国的证据

本文基于中国企业数据，研究了人工智能（AI）对企业技术创新的影响，并探讨了其作用机制。本研究发现AI显著促进了企业TI。通过工具变量回归和稳健性检验验证了这些结论的可靠性。人工智能促进企业创新的关键机制包括提高全要素生产率（TFP）、优化人力资本结构和数字化转型。企业内部研发关注水平在人工智能对创新的激励效应中起正向调节作用。人工智能不仅可以提高技术创新的数量，还可以促进技术的扩散。服务业企业的影响更强。因此，建议政府加大对人工智能技术的支持力度，促进传统产业的融合，完善人才培养机制。这将使人工智能在培育企业创新、推动经济高质量发展方面发挥更加积极的作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Managerial and Decision Economics Multiple-

CiteScore

1.40

自引率

18.20%

发文量

242

期刊介绍： Managerial and Decision Economics will publish articles applying economic reasoning to managerial decision-making and management strategy.Management strategy concerns practical decisions that managers face about how to compete, how to succeed, and how to organize to achieve their goals. Economic thinking and analysis provides a critical foundation for strategic decision-making across a variety of dimensions. For example, economic insights may help in determining which activities to outsource and which to perfom internally. They can help unravel questions regarding what drives performance differences among firms and what allows these differences to persist. They can contribute to an appreciation of how industries, organizations, and capabilities evolve.