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Driving Factors behind Energy-Related Carbon Emissions in the U.S. Road Transport Sector: A Decomposition Analysis

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  • Rui Jiang

    (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
    School of Design and the Built Environment, Curtin University, Perth 6102, Australia)

  • Peng Wu

    (School of Design and the Built Environment, Curtin University, Perth 6102, Australia)

  • Chengke Wu

    (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China)

Abstract

The U.S. is the second largest contributor to carbon emissions in the world, with its road transport sector being one of the most significant emission sources. However, few studies have been conducted on factors influencing the emissions changes for the U.S. from the perspective of passenger and freight transport. This study aimed to evaluate the carbon emissions from the U.S. road passenger and freight transport sectors, using a Logarithmic Mean Divisia Index approach. Emissions from 2008 to 2017 in the U.S. road transport sector were analysed and key findings include: (1) energy intensity and passenger transport intensity are critical for reducing emissions from road passenger transport, and transport structure change is causing a shift in emissions between different passenger transport modes; and (2) the most effective strategies to reduce carbon emissions in the road freight transport sector are to improve energy intensity and reduce freight transport intensity. Several policy recommendations regarding reducing energy and transport intensity are proposed. The results and policy recommendations are expected to provide useful references for policy makers to form carbon emissions reduction strategies for the road transport sector.

Suggested Citation

  • Rui Jiang & Peng Wu & Chengke Wu, 2022. "Driving Factors behind Energy-Related Carbon Emissions in the U.S. Road Transport Sector: A Decomposition Analysis," IJERPH, MDPI, vol. 19(4), pages 1-17, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2321-:d:751925
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    1. Gambhir, Ajay & Tse, Lawrence K.C. & Tong, Danlu & Martinez-Botas, Ricardo, 2015. "Reducing China’s road transport sector CO2 emissions to 2050: Technologies, costs and decomposition analysis," Applied Energy, Elsevier, vol. 157(C), pages 905-917.
    2. Li, Hongqi & Lu, Yue & Zhang, Jun & Wang, Tianyi, 2013. "Trends in road freight transportation carbon dioxide emissions and policies in China," Energy Policy, Elsevier, vol. 57(C), pages 99-106.
    3. Lu, I.J. & Lin, Sue J. & Lewis, Charles, 2007. "Decomposition and decoupling effects of carbon dioxide emission from highway transportation in Taiwan, Germany, Japan and South Korea," Energy Policy, Elsevier, vol. 35(6), pages 3226-3235, June.
    4. Kwon, Tae-Hyeong, 2005. "Decomposition of factors determining the trend of CO2 emissions from car travel in Great Britain (1970-2000)," Ecological Economics, Elsevier, vol. 53(2), pages 261-275, April.
    5. Zhou, Guanghui & Ou, Xunmin & Zhang, Xiliang, 2013. "Development of electric vehicles use in China: A study from the perspective of life-cycle energy consumption and greenhouse gas emissions," Energy Policy, Elsevier, vol. 59(C), pages 875-884.
    6. 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.
    7. Shahiduzzaman, Md & Layton, Allan, 2017. "Decomposition analysis for assessing the United States 2025 emissions target: How big is the challenge?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 372-383.
    8. Papagiannaki, Katerina & Diakoulaki, Danae, 2009. "Decomposition analysis of CO2 emissions from passenger cars: The cases of Greece and Denmark," Energy Policy, Elsevier, vol. 37(8), pages 3259-3267, August.
    9. Guoqiang Zhang & Lianghui Wu & Jun Chen, 2021. "Measurement Models for Carbon Dioxide Emission Factors of Passenger Cars Considering Characteristics of Roads and Traffic," IJERPH, MDPI, vol. 18(4), pages 1-18, February.
    10. Talbi, Besma, 2017. "CO2 emissions reduction in road transport sector in Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 232-238.
    11. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    12. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    13. Wang, W.W. & Zhang, M. & Zhou, M., 2011. "Using LMDI method to analyze transport sector CO2 emissions in China," Energy, Elsevier, vol. 36(10), pages 5909-5915.
    14. McCollum, David & Yang, Christopher, 2009. "Achieving deep reductions in US transport greenhouse gas emissions: Scenario analysis and policy implications," Energy Policy, Elsevier, vol. 37(12), pages 5580-5596, December.
    15. Mousavi, Babak & Lopez, Neil Stephen A. & Biona, Jose Bienvenido Manuel & Chiu, Anthony S.F. & Blesl, Markus, 2017. "Driving forces of Iran's CO2 emissions from energy consumption: An LMDI decomposition approach," Applied Energy, Elsevier, vol. 206(C), pages 804-814.
    16. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    17. Feng Dong & Yuling Pan, 2020. "Evolution of Renewable Energy in BRI Countries: A Combined Econometric and Decomposition Approach," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    18. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    19. Huang, Fei & Zhou, Dequn & Wang, Qunwei & Hang, Ye, 2019. "Decomposition and attribution analysis of the transport sector’s carbon dioxide intensity change in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 343-358.
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    2. Tao Li & Lei Ma & Zheng Liu & Chaonan Yi & Kaitong Liang, 2023. "Dual Carbon Goal-Based Quadrilateral Evolutionary Game: Study on the New Energy Vehicle Industry in China," IJERPH, MDPI, vol. 20(4), pages 1-16, February.
    3. Fontaine Dubois Bissai & Bienvenu Gael Fouda Mbanga & Cyrille Adiang Mezoue & Séverin Nguiya, 2023. "An Analysis of the Driving Factors Related to Energy Consumption in the Road Transport Sector of the City of Douala, Cameroon," Sustainability, MDPI, vol. 15(15), pages 1-18, July.
    4. Xiao-Yang Li & Tao Chen & Bin Chen, 2023. "Research on the Influencing Factors and Decoupling State of Carbon Emissions in China’s Transportation Industry," Sustainability, MDPI, vol. 15(15), pages 1-14, August.
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    6. Xiaochun Zhao & Huixin Xu & Qun Sun, 2022. "Research on China’s Carbon Emission Efficiency and Its Regional Differences," Sustainability, MDPI, vol. 14(15), pages 1-14, August.

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