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Coordination Relationship of Carbon Emissions and Air Pollutants under Governance Measures in a Typical Industrial City in China

Author

Listed:
  • Junjie Wang

    (Sichuan Academy of Environmental Sciences, Chengdu 610041, China)

  • Juntao Ma

    (School of Environment, Sichuan University, Chengdu 610065, China)

  • Sihui Wang

    (Sichuan Academy of Environmental Sciences, Chengdu 610041, China)

  • Zhuozhi Shu

    (Sichuan Academy of Environmental Sciences, Chengdu 610041, China)

  • Xiaoqiong Feng

    (Sichuan Academy of Environmental Sciences, Chengdu 610041, China
    School of Environment, Sichuan University, Chengdu 610065, China)

  • Xuemei Xu

    (Sichuan Academy of Environmental Sciences, Chengdu 610041, China)

  • Hanmei Yin

    (Sichuan Academy of Environmental Sciences, Chengdu 610041, China)

  • Yi Zhang

    (Sichuan Academy of Environmental Sciences, Chengdu 610041, China)

  • Tao Jiang

    (Sichuan Academy of Environmental Sciences, Chengdu 610041, China)

Abstract

Coordinating and controlling carbon and atmospheric pollutant emissions in industrial cities poses challenges, making it difficult to formulate effective environmental governance strategies in China. This study used the Community Multiscale Air Quality (CMAQ) and Long-range Energy Alternatives Planning (LEAP) models, with a typical industrial city in the Sichuan Basin as the case study. Five emission reduction scenarios, one integration scenario, and one baseline scenario were set to quantitatively analyze the synergistic effect between carbon emissions and atmospheric pollutant emissions. The results indicate a high synergy between sulfur dioxide and greenhouse gases. For every one-point decrease in the Air Quality Composite Index (AQCI), the Industrial Restructuring Scenario (IR), Other Source Management Scenario (OSM), Transportation Energy Efficiency Improvement Scenario (TEEI), Industrial Energy Efficiency Improvement Scenario (IEEI), and Transportation Restructuring (TR) scenarios would require a reduction in carbon emissions by 56,492.79 kilotons, 39,850.45 kilotons, 34,027.5 kilotons, 22,356.58 kilotons, and 3243.33 kilotons, respectively. The results indicate that governance measures, such as improving transportation structure and upgrading industrial technologies, provide stronger support for simultaneous carbon emissions reductions and air quality improvement.

Suggested Citation

  • Junjie Wang & Juntao Ma & Sihui Wang & Zhuozhi Shu & Xiaoqiong Feng & Xuemei Xu & Hanmei Yin & Yi Zhang & Tao Jiang, 2023. "Coordination Relationship of Carbon Emissions and Air Pollutants under Governance Measures in a Typical Industrial City in China," Sustainability, MDPI, vol. 16(1), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:58-:d:1304167
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    References listed on IDEAS

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    1. Zeng, Qing-Hua & He, Ling-Yun, 2023. "Study on the synergistic effect of air pollution prevention and carbon emission reduction in the context of "dual carbon": Evidence from China's transport sector," Energy Policy, Elsevier, vol. 173(C).
    2. Eldowma, Ibrahim Ahmed & Zhang, Guoxing & Su, Bin, 2023. "The nexus between electricity consumption, carbon dioxide emissions, and economic growth in Sudan (1971–2019)," Energy Policy, Elsevier, vol. 176(C).
    3. Krapivin, Vladimir F. & Varotsos, Costas A. & Soldatov, Vladimir Yu., 2017. "Simulation results from a coupled model of carbon dioxide and methane global cycles," Ecological Modelling, Elsevier, vol. 359(C), pages 69-79.
    4. Zhu, Junpeng & Wu, Shaohui & Xu, Junbing, 2023. "Synergy between pollution control and carbon reduction: China's evidence," Energy Economics, Elsevier, vol. 119(C).
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