碳赢之路,智者先行:机器人影响的证据,使减少污染和碳排放产生协同效应

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Dongri Han, Hongshuang Wu, Yue Zhu, Yanxia Diao
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引用次数: 0

摘要

在 "二氧化碳排放峰值和碳中和 "的背景下,减少污染和碳排放的协同效应是实现中国绿色现代化的核心。由于最新的科技革命,机器人已成为世界上许多不同企业和地区的必需品。中国拥有全球最大的机器人消费市场。机器人能否完全实现污染减排和碳排放的协同效应,需要理论论证和实证检验。本文基于 2011-2020 年中国省级面板数据,采用基线回归模型,探讨机器人对污染减排和碳排放协同效应的直接影响。其次,在产业结构合理化、绿色工艺创新和智能制造等约束变量下,利用中介效应模型和门槛回归模型探讨了机器人影响对污染减排和碳排放协同效应的间接和非线性影响。研究结果如下:首先,机器人影响对污染减排与碳排放协同效应具有显著的正向直接影响,其效应呈现出 "中> 西> 东 "的特征。其次,机器人影响可以通过提高绿色工艺创新和智能制造水平,间接改善污染减排和碳排放的协同效应。最后,基于区域异质性特征,机器人影响对污染减排和碳排放的协同效应具有不同的门槛效应。在产业结构合理化和智能制造水平先进的条件下,机器人的影响会更加有利。本文为机器人影响促进污染减排和碳排放协同效应提供了科学依据和理论参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The road to carbon win, the wise first: evidence of robot impact enabling the synergistic effects of pollution reduction and carbon emissions

The road to carbon win, the wise first: evidence of robot impact enabling the synergistic effects of pollution reduction and carbon emissions

In the context of "peak carbon dioxide emissions and carbon neutrality", the synergistic effects of pollution reduction and carbon emissions is the core of realizing the green modernization of China. Due to the latest scientific and technical revolution, robots are now essential in many different businesses and regions of the world. China has the biggest consumer robot market in the world. It requires a theoretical justification and an empirical test to see whether it can completely enable the synergistic effects of pollution reduction and carbon emissions. Based on Chinese provincial panel data from 2011 to 2020, this paper uses a baseline regression model to explore the direct effects of robot impact on the synergistic effects of pollution reduction and carbon emissions. Secondly, the intermediary effect model and threshold regression model were used to explore the indirect and nonlinear effects of robot impact on the synergistic effects of pollution reduction and carbon emissions under the constraint variables of rationalization of industrial structure, green process innovation, and intelligent manufacturing. The findings are as follows: firstly, robot impact has a significant positive direct effect on the synergistic effects of pollution reduction and carbon emissions, with the effect showing the characteristics of "central > west > east". Secondly, robot impact can indirectly improve the synergistic effects of pollution reduction and carbon emissions by improving the level of green process innovation and intelligent manufacturing. Lastly, based on the characteristics of regional heterogeneity, robot impact has different threshold effects on the synergistic effects of pollution reduction and carbon emissions. Under the rationalization of industrial structure and advanced intelligent manufacturing level, robot impact can be more favorable. This paper provides a scientific basis and theoretical reference for robot impact to promote the synergistic effects of pollution reduction and carbon emissions.

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来源期刊
Air Quality Atmosphere and Health
Air Quality Atmosphere and Health ENVIRONMENTAL SCIENCES-
CiteScore
8.80
自引率
2.00%
发文量
146
审稿时长
>12 weeks
期刊介绍: Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health. It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes. International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals. Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements. This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
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