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Understanding Emission Trends, Regional Distribution Differences, and Synergistic Emission Effects in the Transportation Sector in Terms of Social Factors and Energy Consumption

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  • Yu Zhao

    (Graduate School of Human-Environment Studies, Kyushu University, Fukuoka 819-0395, Japan)

  • Prasanna Divigalpitiya

    (Faculty of Human-Environment Studies, Kyushu University, Fukuoka 819-0395, Japan)

Abstract

China’s transportation sector plays a significant role in reducing carbon dioxide (CO 2 ) and air pollution. Previous studies have predominantly utilized scenario analysis to forecast emissions for the next 30 to 50 years based on coefficients from a base year. To elucidate the current state of gas emissions in the transportation sector, this study employed panel data for 10 types of gas emissions from 2001 to 2020, analyzing their emission characteristics, tendencies, and synergistic effects. Utilizing the Kaya equation and the logarithmic mean division index (LMDI) decomposition method, we developed a model of pollutant emissions that considers the synergistic effects, pollution emission intensity, energy mix, energy consumption intensity, and population. The results show that all pollutants in the transportation sector decreased except for NH 3 and CO 2 . There was a synergistic effect between air pollutants and CO 2 emissions, but the reduction was not significant. From 2013 to 2020, the transportation sector shifted from a high emission intensity with low synergy to a low emission intensity with high synergy. The results indicate that off-road mobile vehicles, on-road diesel vehicles, and motorcycles became the main source of emissions from transportation in certain provinces, and a key area requiring attention in policy development. Gasoline consumption was identified as the primary contributor to the significant increase in synergistic emission variability in the transportation sector. These results provide policymakers with practical ways to optimize emission reduction pathways.

Suggested Citation

  • Yu Zhao & Prasanna Divigalpitiya, 2024. "Understanding Emission Trends, Regional Distribution Differences, and Synergistic Emission Effects in the Transportation Sector in Terms of Social Factors and Energy Consumption," Sustainability, MDPI, vol. 16(24), pages 1-18, December.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:10971-:d:1543585
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    References listed on IDEAS

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    1. Yanchun Yi & Yajun Wang & Yaqin Li & Ji Qi, 2021. "Impact of urban density on carbon emissions in China," Applied Economics, Taylor & Francis Journals, vol. 53(53), pages 6153-6165, November.
    2. Li ZHANG & Libin CAO & Yu LEI & Bofeng CAI & Guangxia DONG, 2022. "A Study on Synergizing the Reduction of Air Pollution and Carbon Emissions in China and Policy Implication," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 10(03), pages 1-15, September.
    3. Dong, Huijuan & Dai, Hancheng & Dong, Liang & Fujita, Tsuyoshi & Geng, Yong & Klimont, Zbigniew & Inoue, Tsuyoshi & Bunya, Shintaro & Fujii, Minoru & Masui, Toshihiko, 2015. "Pursuing air pollutant co-benefits of CO2 mitigation in China: A provincial leveled analysis," Applied Energy, Elsevier, vol. 144(C), pages 165-174.
    4. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    5. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-625, April.
    6. Minglong Xu & Huimin Li & Xianghui Deng, 2024. "Measuring the Synergistic Effect of Pollution and Carbon Reduction in China’s Industrial Sector," Sustainability, MDPI, vol. 16(3), pages 1-14, January.
    7. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    8. 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).
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