Yu Lingzheng, Wang Yao, Wei Xiahai, Zeng Chenyu
School of Economics and Finance, Huaqiao University, Quanzhou, Fujian, 362021, PR China.
School of Finance, Yunnan University of Finance and Economics, Kunming, Yunnan, 650221, PR China.
J Environ Manage. 2023 Mar 15;330:117216. doi: 10.1016/j.jenvman.2023.117216. Epub 2023 Jan 6.
Technological advancements have played a key role in improving energy efficiency and reducing emissions, and industrial robots are important carriers of intelligent manufacturing and industrial upgrading. Although various countries and regions are under pressure to reduce their carbon emissions, a consensus has not been reached on whether industrial robots can help. This study investigates how industrial robots affect carbon emissions by categorizing industry data from the International Federation of Robotics (IFR, 2010-2018) into city-level variables. The empirical finding revealed that cities' carbon emissions have been significantly reduced by the application of industrial robots. By using the penetration of robots in Chinese cities as an instrumental variable constructed through the combination of employment level and robot imports, the beneficial role of robots is further verified by a plausibly exogenous test. The mechanism analysis revealed that industrial robots contribute to cities' decarbonization by enhancing energy efficiency and green technology efficiency. The heterogeneity analysis showed that the effect of industrial robots on decarbonization is more pronounced in megacities, advanced manufacturing bases, and low-carbon pilot cities. This study empirically confirms the positive role of industrial robots in carbon emission reduction, provides evidence for industrial robots' technical characteristics of decarbonization, and proposes novel ideas for achieving net-zero carbon emissions.
技术进步在提高能源效率和减少排放方面发挥了关键作用,工业机器人是智能制造和产业升级的重要载体。尽管各国和各地区都面临着减少碳排放的压力,但对于工业机器人是否能有所帮助尚未达成共识。本研究通过将国际机器人联合会(IFR,2010 - 2018年)的行业数据分类为城市层面的变量,来调查工业机器人如何影响碳排放。实证结果表明,工业机器人的应用显著降低了城市的碳排放。通过将中国城市中机器人的渗透率作为通过就业水平和机器人进口相结合构建的工具变量,通过似然外生性检验进一步验证了机器人的有益作用。机制分析表明,工业机器人通过提高能源效率和绿色技术效率,为城市的脱碳做出了贡献。异质性分析表明,工业机器人对脱碳的影响在特大城市、先进制造业基地和低碳试点城市更为显著。本研究实证证实了工业机器人在碳排放减少方面的积极作用,为工业机器人的脱碳技术特征提供了证据,并为实现净零碳排放提出了新思路。