{"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. 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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.
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.