{"title":"The road to carbon win, the wise first: evidence of robot impact enabling the synergistic effects of pollution reduction and carbon emissions","authors":"Dongri Han, Hongshuang Wu, Yue Zhu, Yanxia Diao","doi":"10.1007/s11869-024-01542-1","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"17 8","pages":"1739 - 1751"},"PeriodicalIF":2.9000,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-024-01542-1.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Air Quality Atmosphere and Health","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11869-024-01542-1","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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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