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Mode, technology, energy consumption, and resulting CO2 emissions in China's transport sector up to 2050

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  • Wang, Hailin
  • Ou, Xunmin
  • Zhang, Xiliang

Abstract

Using the Transportation Mode-Technology-Energy-CO2 (TMOTEC) model which is based on discrete choice mothed and general transport cost simulation, this study made a scenario analysis of energy consumption and reductions in CO2 emissions in China’s transport sector. We used scenarios to investigate the relative influences of improving vehicle energy efficiency, promoting EV use, and increasing taxes for fossil fuels and CO2. We found that in the reference scenario, total transport energy consumption would increase to 636 million tons of oil equivalent (Mtoe) in 2050; that would result in 1602 million tons of CO2 emissions. In the comprehensive development scenario, transport energy consumption would peak at 497 Mtoe around 2045; the resulting CO2 emissions peak would be 1129 million tons of CO2 between 2040 and 2045. Both energy consumption and CO2 emissions in the transport sector would decline steadily after reaching their peak. We believe that the Chinese government should make greater efforts with vehicle fuel economy standards, in improving technological progress and market expansion of EVs, and in increasing taxes on traditional transport energy and CO2. This would contribute to reducing energy consumption and achieving a CO2 emissions peak in China’s transport sector as soon as possible.

Suggested Citation

  • Wang, Hailin & Ou, Xunmin & Zhang, Xiliang, 2017. "Mode, technology, energy consumption, and resulting CO2 emissions in China's transport sector up to 2050," Energy Policy, Elsevier, vol. 109(C), pages 719-733.
    • Handle: RePEc:eee:enepol:v:109:y:2017:i:c:p:719-733
    DOI: 10.1016/j.enpol.2017.07.010
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    References listed on IDEAS

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    1. Ou, Xunmin & Yan, Xiaoyu & Zhang, Xiliang & Liu, Zhen, 2012. "Life-cycle analysis on energy consumption and GHG emission intensities of alternative vehicle fuels in China," Applied Energy, Elsevier, vol. 90(1), pages 218-224.
    2. Kejun Jiang & Xing Zhuang & Ren Miao & Chenmin He, 2013. "China's role in attaining the global 2°C target," Climate Policy, Taylor & Francis Journals, vol. 13(sup01), pages 55-69, March.
    3. Hu, Xiaojun & Chang, Shiyan & Li, Jingjie & Qin, Yining, 2010. "Energy for sustainable road transportation in China: Challenges, initiatives and policy implications," Energy, Elsevier, vol. 35(11), pages 4289-4301.
    4. Kyle, Page & Kim, Son H., 2011. "Long-term implications of alternative light-duty vehicle technologies for global greenhouse gas emissions and primary energy demands," Energy Policy, Elsevier, vol. 39(5), pages 3012-3024, May.
    5. Son H. Kim, Jae Edmonds, Josh Lurz, Steven J. Smith, and Marshall Wise, 2006. "The objECTS Framework for integrated Assessment: Hybrid Modeling of Transportation," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 63-92.
    6. Yin, Xiang & Chen, Wenying & Eom, Jiyong & Clarke, Leon E. & Kim, Son H. & Patel, Pralit L. & Yu, Sha & Kyle, G. Page, 2015. "China's transportation energy consumption and CO2 emissions from a global perspective," Energy Policy, Elsevier, vol. 82(C), pages 233-248.
    7. Zhang, Xiliang & Karplus, Valerie J. & Qi, Tianyu & Zhang, Da & He, Jiankun, 2016. "Carbon emissions in China: How far can new efforts bend the curve?," Energy Economics, Elsevier, vol. 54(C), pages 388-395.
    8. Zhou, Nan & Fridley, David & Khanna, Nina Zheng & Ke, Jing & McNeil, Michael & Levine, Mark, 2013. "China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model," Energy Policy, Elsevier, vol. 53(C), pages 51-62.
    9. Hao, Han & Geng, Yong & Li, Weiqi & Guo, Bin, 2015. "Energy consumption and GHG emissions from China's freight transport sector: Scenarios through 2050," Energy Policy, Elsevier, vol. 85(C), pages 94-101.
    10. Wang, Y.F. & Li, K.P. & Xu, X.M. & Zhang, Y.R., 2014. "Transport energy consumption and saving in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 641-655.
    11. Ou, Xunmin & Zhang, Xiliang & Chang, Shiyan, 2010. "Scenario analysis on alternative fuel/vehicle for China's future road transport: Life-cycle energy demand and GHG emissions," Energy Policy, Elsevier, vol. 38(8), pages 3943-3956, August.
    12. Zhang, Hongjun & Chen, Wenying & Huang, Weilong, 2016. "TIMES modelling of transport sector in China and USA: Comparisons from a decarbonization perspective," Applied Energy, Elsevier, vol. 162(C), pages 1505-1514.
    13. Chuanjun Lyu & Xunmin Ou & Xiliang Zhang, 2015. "China automotive energy consumption and greenhouse gas emissions outlook to 2050," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(5), pages 627-650, June.
    14. Huo, Hong & Wang, Michael, 2012. "Modeling future vehicle sales and stock in China," Energy Policy, Elsevier, vol. 43(C), pages 17-29.
    15. Huo, Hong & Zhang, Qiang & He, Kebin & Yao, Zhiliang & Wang, Michael, 2012. "Vehicle-use intensity in China: Current status and future trend," Energy Policy, Elsevier, vol. 43(C), pages 6-16.
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