The green innovation effect of industrial robot applications: Evidence from Chinese manufacturing companies

IF 12.9 1区管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-11-23 DOI:10.1016/j.techfore.2024.123904

Xiaoqian Liu , Javier Cifuentes-Faura , Xiaodong Yang , Junyu Pan

{"title":"The green innovation effect of industrial robot applications: Evidence from Chinese manufacturing companies","authors":"Xiaoqian Liu , Javier Cifuentes-Faura , Xiaodong Yang , Junyu Pan","doi":"10.1016/j.techfore.2024.123904","DOIUrl":null,"url":null,"abstract":"<div><div>Artificial intelligence has emerged to revolutionize society in China. Investigating whether industrial robot applications (IRAs) can contribute to Chinese economic prosperity has significant theoretical and practical significance. For this purpose, this study estimates the impact of IRAs on green innovation by decomposing the industry robot stock to the corporate level using global industry robot data and manufacturing data from Chinese manufacturing listed companies by constructing a Bartik instrumental variable. The results show that IRAs notably promote corporate green innovation. However, IRAs do not contribute equally to all corporations in green creation. Its effects on green innovation are mainly observed in larger corporations, technology-intensive industries, and corporations located in developed cities. Digital transformation, management efficiency, and CEO's information technology (IT) background can further strengthen the green innovation effect of IRAs. We conclude that the rational exploitation of artificial intelligence drives the economy towards green development.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123904"},"PeriodicalIF":12.9000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological Forecasting and Social Change","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0040162524007029","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}

引用次数: 0

Abstract

Artificial intelligence has emerged to revolutionize society in China. Investigating whether industrial robot applications (IRAs) can contribute to Chinese economic prosperity has significant theoretical and practical significance. For this purpose, this study estimates the impact of IRAs on green innovation by decomposing the industry robot stock to the corporate level using global industry robot data and manufacturing data from Chinese manufacturing listed companies by constructing a Bartik instrumental variable. The results show that IRAs notably promote corporate green innovation. However, IRAs do not contribute equally to all corporations in green creation. Its effects on green innovation are mainly observed in larger corporations, technology-intensive industries, and corporations located in developed cities. Digital transformation, management efficiency, and CEO's information technology (IT) background can further strengthen the green innovation effect of IRAs. We conclude that the rational exploitation of artificial intelligence drives the economy towards green development.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

工业机器人应用的绿色创新效应：来自中国制造企业的证据

人工智能的出现给中国社会带来了革命性的变化。研究工业机器人应用（IRA）能否促进中国经济繁荣具有重要的理论和现实意义。为此，本研究利用全球工业机器人数据和中国制造业上市公司的制造业数据，通过构建Bartik工具变量，将工业机器人存量分解到企业层面，估计工业机器人对绿色创新的影响。结果表明，IRA 显著促进了企业的绿色创新。然而，IRA 对所有企业绿色创新的贡献并不相同。其对绿色创新的影响主要体现在大型企业、技术密集型行业和位于发达城市的企业中。数字化转型、管理效率和首席执行官的信息技术（IT）背景可以进一步加强独立审计机构的绿色创新效应。我们的结论是，对人工智能的合理利用推动了经济的绿色发展。

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分钟内获得全文去求助

来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

期刊介绍： Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.