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Analysis of the Measurement of Transportation Carbon Emissions and the Emission Reduction Path in the Yangtze River Economic Belt under the Background of “Dual Carbon” Goals

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  • Yanming Sun

    (School of Transportation, Shandong University of Science and Technology, Qingdao 266590, China
    International Cooperation Center of National Development and Reform Commission, Beijing 100038, China)

  • Guangzhen Zhang

    (School of Transportation, Shandong University of Science and Technology, Qingdao 266590, China)

Abstract

Carbon emissions from the Yangtze River Economic Belt are an important element of China’s carbon emission endeavor, and a study of its emission reduction pathway can provide a reference for the country’s overall management of carbon emission reduction. From the perspective of energy consumption, this paper uses the carbon emission factor method to estimate the carbon emissions of the transportation industry in the Yangtze River Economic Belt during 2006–2020, based on the extended STIRPAT model, considering the influence of seven factors, i.e., population size, urbanization rate, GDP per capita, transportation added value, energy structure, energy intensity, and transportation intensity, on carbon emissions. Based on these factors, a scenario analysis, combined with a forecasting model, is used to predict the peak carbon performance of the transportation industry under different development scenarios. The results show that the overall carbon emissions of transportation in the YEB from 2006 to 2020 show a fluctuating upward trend, and the downstream carbon emissions are significantly higher than those in other regions. The main factors influencing carbon emissions from transportation in different upstream, midstream, and downstream regions vary, with both population and economic factors contributing to carbon emissions, while technical factors affect them differently. There are significant differences in the peak carbon performance of transportation under different development scenarios, and the government should take effective measures to work towards achieving the goals of the low-carbon or enhanced low-carbon scenarios.

Suggested Citation

  • Yanming Sun & Guangzhen Zhang, 2024. "Analysis of the Measurement of Transportation Carbon Emissions and the Emission Reduction Path in the Yangtze River Economic Belt under the Background of “Dual Carbon” Goals," Energies, MDPI, vol. 17(14), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3364-:d:1431557
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    References listed on IDEAS

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    1. Yanming Sun & Yile Yang & Shixian Liu & Qingli Li, 2023. "Research on Transportation Carbon Emission Peak Prediction and Judgment System in China," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    2. Bai, Caiquan & Du, Kerui & Yu, Ying & Feng, Chen, 2019. "Understanding the trend of total factor carbon productivity in the world: Insights from convergence analysis," Energy Economics, Elsevier, vol. 81(C), pages 698-708.
    3. Xie, Rui & Fang, Jiayu & Liu, Cenjie, 2017. "The effects of transportation infrastructure on urban carbon emissions," Applied Energy, Elsevier, vol. 196(C), pages 199-207.
    4. Alam, Md. Saniul & Hyde, Bernard & Duffy, Paul & McNabola, Aonghus, 2017. "Assessment of pathways to reduce CO2 emissions from passenger car fleets: Case study in Ireland," Applied Energy, Elsevier, vol. 189(C), pages 283-300.
    5. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    6. González Palencia, Juan C. & Otsuka, Yuki & Araki, Mikiya & Shiga, Seiichi, 2017. "Scenario analysis of lightweight and electric-drive vehicle market penetration in the long-term and impact on the light-duty vehicle fleet," Applied Energy, Elsevier, vol. 204(C), pages 1444-1462.
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    Cited by:

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    2. Yanming Sun & Baozhong Chen & Qingli Li, 2024. "Impact of Urban Form in the Yangtze River Delta of China on the Spatiotemporal Evolution of Carbon Emissions from Transportation," Sustainability, MDPI, vol. 16(22), pages 1-16, November.

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