工业机器人对企业环境治理重要吗?来自中国企业的证据

F. Luan, Wenhua Qi, Wentao Zhang, Victor Chang
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摘要

目的 数字制造技术(工业 4.0)与环境之间的联系引发了关于企业披露污染物排放负面信息和追求积极环境成果的讨论。然而,很少有研究探讨它与企业使用机器人及其机制之间的关系。本文旨在研究机器人普及率对中国企业环境治理的影响。研究采用有序 probit 模型(和 probit 模型),以 2010 年至 2019 年的 1579 家中国上市企业为样本进行实证检验。研究结果研究发现,机器人使用率与负面指标披露之间存在负相关关系,机器人使用率与正面环境结果之间存在 U 型关系。在样本中,非国有企业的表现并不令人满意,而重污染行业披露了更多的污染物排放信息。机器人与环境治理之间的关系取决于企业规模、资本密集度和当地经济发展状况。 原创性/价值 该研究提出了一种全新的企业环境治理观点,以评估机器人应用对环境的影响。研究还有助于确定机器人与环境关系中的曲线效应、调节效应和异质性效应。研究结果为循环经济(CE)背景下的工业智能发展和企业环境治理提供了丰富的政策含义。
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Do industrial robots matter for corporate environmental governance? Evidence from Chinese firms
PurposeThe connection between digital manufacturing technologies (Industry 4.0) and the environment has sparked discussions on firms' disclosure of negative information on pollutant emissions and the pursuit of positive environmental outcomes. However, very few studies explore how it relates to a firm's robot usage and its mechanism. The purpose of this paper is to investigate the impacts of robot penetration on firms' environmental governance in China.Design/methodology/approachThe ordered probit model (and probit model) are employed and empirically tested with a sample of 1,579 Chinese listed firms from 2010 to 2019.FindingsThe study reveals a negative relationship between robot usage and the disclosure of negative indicators and a U-shaped relationship between robot usage and positive environmental outcomes. Among the sample, nonstate-owned enterprises (SOEs) display unsatisfactory performance, while heavily polluting industries disclose more information on pollutant emissions. The robot–environmental governance nexus is conditional on firm size, capital intensity and local economic development.Originality/valueThe study proposes a fresh view of corporate environmental governance to assess the environmental implications of robot adoption. It also contributes to identifying the curvilinear, moderating and heterogenous effects in the robot–environment nexus. The results provide rich policy implications for the development of industrial intelligence and corporate environmental governance in the circular economy (CE) context.
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