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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

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  • Zeng, Qing-Hua
  • He, Ling-Yun

Abstract

The transportation sector has significantly contributed to greenhouse gas and air pollutant emissions. Based on the Kaya constant equation and the LMDI decomposition model, A synergistic reduction effect model of transportation tailpipe Environmental negative externalities emissions is constructed to adopt the inter-provincial panel data of China from 2005 to 2019. The synergistic reduction emission impact and indirect drivers between air pollution and carbon emission are analyzed. The results show that the drivers of the synergistic impact are mainly energy efficiency and industrial structure. Significant synergistic emission reduction effects exist in eastern China, western China, medium-sized transportation markets, and less developed tourism regions. Further, increasing environmental regulation can improve the synergistic reduction impact of the transportation sector's air pollutants and carbon emissions. This paper provides theoretical support for winning the battle of pollution prevention and control and achieving the "dual carbon" goal in the new era.

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  • 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).
    • Handle: RePEc:eee:enepol:v:173:y:2023:i:c:s0301421522005894
    DOI: 10.1016/j.enpol.2022.113370
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    2. Congxin Li & Xuejia Sun, 2023. "Spatial Effects of Green Credit on Air Quality: An Empirical Test Based on the Dual Carbon Perspective," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
    3. Liu, Zhen & Diao, Ziyu & Lu, Yuan, 2024. "Can the opening of high-speed rail boost the reduction of air pollution and carbon emissions? Quasi-experimental evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    4. Gong, Yuanyuan & Sun, Hui & Wang, Zhiwei & Ding, Chenxin, 2023. "Spatial correlation network pattern and evolution mechanism of natural gas consumption in China—Complex network-based ERGM model," Energy, Elsevier, vol. 285(C).
    5. Bowen Xiao & Chengyao Xu, 2023. "Can Policy Instruments Achieve Synergies in Mitigating Air Pollution and CO 2 Emissions in the Transportation Sector?," Sustainability, MDPI, vol. 15(19), pages 1-24, October.
    6. 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.
    7. Cui, Shaohua & Gao, Kun & Yu, Bin & Ma, Zhenliang & Najafi, Arsalan, 2023. "Joint optimal vehicle and recharging scheduling for mixed bus fleets under limited chargers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).

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