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机器人采用如何促进碳减排?:空间相关性和异质性分析。

How does the robot adoption promote carbon reduction?: spatial correlation and heterogeneity analysis.

机构信息

Guanghua School of Management, Peking University, Beijing, 100871, China.

Department of Economics, The Party School of Zhejiang Provincial Committee of the Communist Party of China, Hangzhou, 311121, China.

出版信息

Environ Sci Pollut Res Int. 2023 Nov;30(53):113609-113621. doi: 10.1007/s11356-023-30424-9. Epub 2023 Oct 18.

Abstract

Along with the continuous improvement of industrial intelligence, robots are widely used in various aspects of production and life, playing an essential role in achieving carbon reduction targets. However, the existing research on the carbon reduction effect of robots and its mechanism is limited. Therefore, this study aims to explore the impact of robot adoption on carbon emissions and analyzes the mechanism by taking 30 provinces in China from 2006 to 2019 as research objects. It found that robot adoption can significantly reduce carbon emissions. However, the degree of marketization plays a masking effect, which limits robots' carbon reduction effect to some extent. Furthermore, the carbon reduction effect of robot adoption is stronger in provinces with lower carbon emissions. Finally, robot adoption has a significant spatial spillover effect on neighboring regions. The improvement of robot adoption will positively affect the region's and surrounding areas' carbon emission reduction. The relevant findings provide empirical support for further deepening the policy implementation of robot-assisted carbon emission reduction.

摘要

随着工业智能化的不断提高,机器人广泛应用于生产和生活的各个方面,在实现碳减排目标方面发挥着重要作用。然而,现有关于机器人碳减排效果及其作用机制的研究还很有限。因此,本研究以 2006 年至 2019 年中国的 30 个省份为研究对象,旨在探讨机器人的采用对碳排放的影响,并分析其作用机制。研究结果表明,机器人的采用可以显著降低碳排放。然而,市场化程度起着掩饰作用,在一定程度上限制了机器人的碳减排效果。此外,机器人的采用对碳排放较低的省份的碳减排效果更强。最后,机器人的采用对邻近地区具有显著的空间溢出效应。机器人采用的提高将对区域和周边地区的碳减排产生积极影响。相关发现为进一步深化机器人辅助碳减排政策的实施提供了经验支持。

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