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Analysis of collaborative emission reduction of air pollutants and greenhouse gases under carbon neutrality target: a case study of Beijing, China

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Abstract

The Chinese government has explicitly promised to peak carbon dioxide emissions by 2030 and strive to become carbon neutral by 2060. As the capital of China, Beijing should play a pilot role in reducing carbon emissions. Researching on the synergistic effect of air pollutants and carbon dioxide emissions reduction can be conducive to the reduction of carbon and pollution, and ultimately promote economic growth and enhance environmental management. Based on the extended Kaya identity and the gray correlation model, this study analyzes the correlation degree of the influencing factors of collaborative emission reduction. The Logarithmic Mean Divisia Index method  (LMDI model) is conducted to decompose the driving effects and quantify the collaborative emission reduction effects of main air pollutants and carbon dioxide in Beijing. The results showed a strong correlation (correlation coefficient > 0.6) between carbon dioxide and major air pollution. The energy intensity and energy structure are the main factors to promote the major air pollutants emission reduction in Beijing, while the economic output and population size increase the air pollutant emissions. The average CO2 contribution rate to SO2, NOx, and PM10 from 2010 to 2019 was 9.60, 5.99 and 9.06%, respectively. In general, there is a significant connection between CO2 emissions and the main air pollutants. However, the synergistic emission reduction effect of CO2 and SO2 is greater than that of CO2 and NOx, and CO2 and PM10. Finally, this paper proposes several countermeasures and suggestions for front-end prevention, middle-end control, and collaborative emission reduction based on the findings.

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Data Availability

The authors declare that all data and materials used or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

This research was supported by Key Project of Beijing Social Science Foundation of China (19YJA002), Post-funded Project of National Social Science Foundation of China (21FJYB023), Key Project of Beijing University of Technology for Major Strategic Decision-making Consultation in the Capital in 2022 (011000514122545).

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Authors and Affiliations

  1. College of Economics and Management, Beijing University of Technology, Beijing, 100124, China

    Yunyan Li, Jian Dai & Han Zhao

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  1. Yunyan Li
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by YL, JD and HZ. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Jian Dai.

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Li, Y., Dai, J. & Zhao, H. Analysis of collaborative emission reduction of air pollutants and greenhouse gases under carbon neutrality target: a case study of Beijing, China. Clean Techn Environ Policy (2023). https://doi.org/10.1007/s10098-023-02524-0

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