Harnessing the power of industrial robots for green development: Evidence from China's manufacturing industry

IF 12.9 1区 管理学 Q1 BUSINESS
Haiyan Deng , Zhonghua Huang , Jian Wu , Fatma Güneri , Z.Y. Shen , Changxin Yu
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引用次数: 0

Abstract

Amid growing concerns over energy consumption and environmental degradation, the integration of industrial robots into manufacturing systems has emerged as a potential catalyst for green growth. However, there is a scarcity of studies examining how industrial robot deployment affects green productivity. Utilizing provincial input-output data from China's manufacturing sector (2013–2019), this study investigates the impact of industrial robot adoption on green productivity growth and its spatial spillover effects. Our findings reveal three key contributions to the literature. First, we enrich the intersection of industrial robotics and green production by demonstrating that robot adoption significantly enhances green productivity, with a particularly strong impact in eastern regions and high-productivity provinces. Second, we highlight the relevance of industrial robots as a cost-saving technology for achieving China's dual goals of “carbon peaking” by 2030 and “carbon neutrality” by 2060, providing empirical evidence to support targeted policy interventions. Third, we expand the understanding of green productivity by uncovering spatial spillover effects, showing that robotics industry expansion not only boosts local green productivity but also catalyzes growth in neighboring regions. These findings underscore the importance of government initiatives to promote industrial robot adoption, particularly through regionally differentiated policies that address disparities in infrastructure and absorptive capacity.
利用工业机器人的力量促进绿色发展:来自中国制造业的证据
随着人们对能源消耗和环境恶化的担忧日益加剧,将工业机器人集成到制造系统中已成为绿色增长的潜在催化剂。然而,关于工业机器人部署如何影响绿色生产力的研究却很少。利用2013-2019年中国制造业省级投入产出数据,研究了工业机器人采用对绿色生产率增长的影响及其空间溢出效应。我们的发现揭示了对文献的三个关键贡献。首先,我们丰富了工业机器人与绿色生产的交叉点,证明了机器人的采用显著提高了绿色生产率,在东部地区和高生产率省份的影响尤为强烈。其次,我们强调工业机器人作为一种节约成本的技术对于实现中国到2030年“碳峰值”和到2060年“碳中和”的双重目标的相关性,为有针对性的政策干预提供实证支持。第三,通过揭示空间溢出效应,拓展了对绿色生产力的理解,表明机器人产业的扩张不仅促进了当地的绿色生产力,而且还促进了周边地区的经济增长。这些发现强调了政府促进工业机器人采用的举措的重要性,特别是通过解决基础设施和吸收能力差异的地区差异化政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
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.
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