工业机器人与企业创新:来自中国的大数据证据

IF 1.1 Q3 BUSINESS, FINANCE
Huijie Zhong, Xinran Zhang, Kam C. Chan, Chao Yan
{"title":"工业机器人与企业创新:来自中国的大数据证据","authors":"Huijie Zhong, Xinran Zhang, Kam C. Chan, Chao Yan","doi":"10.1108/jal-06-2023-0098","DOIUrl":null,"url":null,"abstract":"Purpose Robots are widely used in industrial manufacturing and service industries around the world. However, most of the previous studies on industrial robots use data at the national or industry level in the context of developed countries. This study examines the impact of imported industrial robots on firm innovation at the firm level in China. Design/methodology/approach Drawing on a large dataset of more than three million records in China, including non-publicly traded small and medium firms, the authors adopt a difference-in-differences method to investigate the impact and channels of industrial robots on firm innovation. Findings The authors find that the application of industrial robots increases firm innovation. Two possible channels are identified through which robots promote innovation: alleviation of financial constraints and the improvement of human capital. Further analysis shows that the effect of robots on innovation is more pronounced for firms that are highly dependent on external financing, belong to high-tech industries, import high-end robots, have insufficient supply of skilled labor and private firms (non-SOEs). The authors also find that industrial robots increase the firms' innovation quality and the marginal contribution of innovation to firms' total factor productivity. Originality/value This study provides big data evidence of the unintended positive consequences of industrial robots on firm innovation. The results are helpful to clarify the controversy of industrial robots. It also has important implications for government industrial policy making, firm innovation and human resource management.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":"59 2","pages":"0"},"PeriodicalIF":1.1000,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Industrial robots and firm innovation: big data evidence from China\",\"authors\":\"Huijie Zhong, Xinran Zhang, Kam C. Chan, Chao Yan\",\"doi\":\"10.1108/jal-06-2023-0098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose Robots are widely used in industrial manufacturing and service industries around the world. However, most of the previous studies on industrial robots use data at the national or industry level in the context of developed countries. This study examines the impact of imported industrial robots on firm innovation at the firm level in China. Design/methodology/approach Drawing on a large dataset of more than three million records in China, including non-publicly traded small and medium firms, the authors adopt a difference-in-differences method to investigate the impact and channels of industrial robots on firm innovation. Findings The authors find that the application of industrial robots increases firm innovation. Two possible channels are identified through which robots promote innovation: alleviation of financial constraints and the improvement of human capital. Further analysis shows that the effect of robots on innovation is more pronounced for firms that are highly dependent on external financing, belong to high-tech industries, import high-end robots, have insufficient supply of skilled labor and private firms (non-SOEs). The authors also find that industrial robots increase the firms' innovation quality and the marginal contribution of innovation to firms' total factor productivity. Originality/value This study provides big data evidence of the unintended positive consequences of industrial robots on firm innovation. The results are helpful to clarify the controversy of industrial robots. It also has important implications for government industrial policy making, firm innovation and human resource management.\",\"PeriodicalId\":45666,\"journal\":{\"name\":\"Journal of Accounting Literature\",\"volume\":\"59 2\",\"pages\":\"0\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Accounting Literature\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jal-06-2023-0098\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Accounting Literature","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jal-06-2023-0098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

机器人在世界范围内广泛应用于工业制造和服务业。然而,以往关于工业机器人的研究大多是在发达国家的背景下使用国家或行业层面的数据。本研究从企业层面考察进口工业机器人对中国企业创新的影响。设计/方法/方法利用中国超过300万条记录的大型数据集,包括非上市中小企业,作者采用差异中的差异方法来研究工业机器人对企业创新的影响和渠道。研究发现,工业机器人的应用促进了企业的创新。确定了机器人促进创新的两个可能渠道:缓解财政约束和改善人力资本。进一步分析表明,对于那些高度依赖外部融资、属于高科技产业、进口高端机器人、熟练劳动力供应不足的企业和私营企业(非国有企业),机器人对创新的影响更为明显。研究还发现,工业机器人提高了企业的创新质量和创新对企业全要素生产率的边际贡献。本研究提供了大数据证据,证明工业机器人对企业创新产生了意想不到的积极影响。研究结果有助于澄清工业机器人的争议。对政府产业政策制定、企业创新和人力资源管理也具有重要的启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Industrial robots and firm innovation: big data evidence from China
Purpose Robots are widely used in industrial manufacturing and service industries around the world. However, most of the previous studies on industrial robots use data at the national or industry level in the context of developed countries. This study examines the impact of imported industrial robots on firm innovation at the firm level in China. Design/methodology/approach Drawing on a large dataset of more than three million records in China, including non-publicly traded small and medium firms, the authors adopt a difference-in-differences method to investigate the impact and channels of industrial robots on firm innovation. Findings The authors find that the application of industrial robots increases firm innovation. Two possible channels are identified through which robots promote innovation: alleviation of financial constraints and the improvement of human capital. Further analysis shows that the effect of robots on innovation is more pronounced for firms that are highly dependent on external financing, belong to high-tech industries, import high-end robots, have insufficient supply of skilled labor and private firms (non-SOEs). The authors also find that industrial robots increase the firms' innovation quality and the marginal contribution of innovation to firms' total factor productivity. Originality/value This study provides big data evidence of the unintended positive consequences of industrial robots on firm innovation. The results are helpful to clarify the controversy of industrial robots. It also has important implications for government industrial policy making, firm innovation and human resource management.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.50
自引率
0.00%
发文量
6
期刊介绍: The objective of the Journal is to publish papers that make a fundamental and substantial contribution to the understanding of accounting phenomena. To this end, the Journal intends to publish papers that (1) synthesize an area of research in a concise and rigorous manner to assist academics and others to gain knowledge and appreciation of diverse research areas or (2) present high quality, multi-method, original research on a broad range of topics relevant to accounting, auditing and taxation. Topical coverage is broad and inclusive covering virtually all aspects of accounting. Consistent with the historical mission of the Journal, it is expected that the lead article of each issue will be a synthesis article on an important research topic. Other manuscripts to be included in a given issue will be a mix of synthesis and original research papers. In addition to traditional research topics and methods, we actively solicit manuscripts of the including, but not limited to, the following: • meta-analyses • field studies • critiques of papers published in other journals • emerging developments in accounting theory • commentaries on current issues • innovative experimental research with strong grounding in cognitive, social or anthropological sciences • creative archival analyses using non-standard methodologies or data sources with strong grounding in various social sciences • book reviews • "idea" papers that don''t fit into other established categories.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信