Environmental governance shock and industrial intelligence upgrading: Insights from machine-labor substitution

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE International Review of Financial Analysis Pub Date : 2025-06-01 Epub Date: 2025-03-10 DOI:10.1016/j.irfa.2025.104102
Yaqi Wan , Zhensheng Li
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Abstract

Industrial intelligent upgrading is an inherent requirement for enterprise development and an urgent need for green economic transformation. From the perspective of machine-labor substitution by Chinese manufacturing enterprises, this study explores the causal relationship between environmental regulation and industrial robot adoption. Utilizing the partially linear functional-coefficient model, this paper further reveals the moderating role of asset size in intelligent upgrading. The findings indicate that with the capital deepening, the effect of environmental regulation on industrial robot investment shifts from insignificant to positively significant. However, the heterogeneous results reveal an unexpected consequence that this impact is more salient for non-polluting enterprises rather than for polluting enterprises which are more targeted by the environmental governance.
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环境治理冲击与产业智能化升级:来自机器劳动力替代的启示
工业智能化升级是企业发展的内在要求,也是经济绿色转型的迫切需要。本研究从中国制造企业机器劳动力替代的角度,探讨环境规制与工业机器人采用之间的因果关系。利用部分线性函数系数模型,进一步揭示了资产规模在智能升级中的调节作用。研究发现,随着资本的不断深化,环境规制对工业机器人投资的影响由不显著转为显著。然而,异质性结果揭示了一个意想不到的结果,即这种影响在无污染企业中更为突出,而在环境治理更有针对性的污染企业中则更为突出。
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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