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ORIGINAL RESEARCH article

Front. Environ. Sci.
Sec. Environmental Economics and Management
Volume 12 - 2024 | doi: 10.3389/fenvs.2024.1511026
This article is part of the Research Topic Advancing Carbon Reduction and Pollution Control Policies Management: Theoretical, Application, and Future Impacts View all 11 articles

Synergistic Effects of Pollution Reduction and Carbon Mitigation from Socioeconomic Factors, Land Use and Urban Innovation: A Case Study of Wuhan Metropolitan Area

Provisionally accepted
Tao Chen Tao Chen 1*An Chen An Chen 2Lanjun Liu Lanjun Liu 2*Chenxi Shi Chenxi Shi 2Junzhe Zhang Junzhe Zhang 2*
  • 1 School of Art and Media, China University of Geosciences Wuhan, Wuhan, Hubei Province, China
  • 2 School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, China

The final, formatted version of the article will be published soon.

    Achieving synergistic effects in pollution reduction and carbon mitigation is a major national strategy for China. Given the common origins and processes of air pollutants and greenhouse gases, this study constructs a theoretical framework for the 'study of the synergistic effects of air pollution and carbon emissions. Based on the coupling coordination degree model and the geographically and temporally weighted regression model, it identifies significant factors influencing the synergistic effects of air pollution and carbon emissions and their varying mechanisms of action. Results are as follows: 1) The spatial and temporal trends of PM2.5 pollution and carbon emissions in the Wuhan metropolitan area exhibit homogeneity. The coupling coordination degree between air pollution and carbon emissions shows an initial increase followed by a decrease over time and a spatial pattern of 'local clustering of areas with medium-high-level coupling coordination'. 2) Twelve factors significantly impact the synergistic effects of air pollution and carbon emissions at the county level in the Wuhan metropolitan area: number of inversion days, precipitation, temperature, vegetation coverage, number of green patents, total population, regional GDP, per capita regional GDP, proportion of secondary industry, total nighttime light, energy consumption efficiency and built-up area. 3) The impact intensity of these factors on the synergistic effects of air pollution and carbon emissions varies not only over time but also across different regions within the same year. Regions with strong impact forces shift over time. This manuscript provides a solid foundation for theoretical research on and practical strategies for advancing differentiated pollution reduction and carbon mitigation coordination.

    Keywords: Wuhan metropolitan area1, pollution reduction and carbon mitigation2, synergistic effects3, coupling coordination model4, geographically and temporally weighted regression model5

    Received: 14 Oct 2024; Accepted: 28 Nov 2024.

    Copyright: © 2024 Chen, Chen, Liu, Shi and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Tao Chen, School of Art and Media, China University of Geosciences Wuhan, Wuhan, 430074, Hubei Province, China
    Lanjun Liu, School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, China
    Junzhe Zhang, School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, China

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