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Greenhouse gas emissions of motor vehicles in Chinese cities and the implication for China’s mitigation targets

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  • Zeng, Yuan
  • Tan, Xianchun
  • Gu, Baihe
  • Wang, Yi
  • Xu, Baoguang

Abstract

Along with rapid development of economy, urbanization and industrialization in China, the transportation sector especially road transport accounts for the quickest growth of energy consumption and greenhouse gas (GHG) emissions across the country. This paper selects four representative cities (Beijing, Shanghai, Guangzhou, and Chongqing) in the north, east, south, and west of China as targets of case study. It predicts future motor vehicle population in various cities using the Gompertz Model, and predicts and analyzes fuel consumption and GHG emissions of different types of motor vehicles in the case cities by 2035. The results indicate that besides gasoline and diesel, in the future uses of various types of vehicle fuels will follow different patterns among these four cities due to diverse resources endowment, economic strength, technology levels and geographical features. Based on predicted vehicle population and fuel consumption, it is found that from 2013 to 2035, GHG emissions from tank to wheel (TTW) and well to wheel (WTW) in all cities will continuously increase yet at different rates. If there is no interference from new policies, around 2020 Chongqing is expected to replace Beijing as the city with the highest volume of GHG emissions of vehicles among four case study cities. Therefore, the four cities especially Chongqing need urgently to develop or adjust low-carbon policies in road transportation sector, in order to achieve China’s future greenhouse gas reduction targets. Some policy implications to reduce GHG emissions of the road transportation sectors of the case cities are suggested based on the analysis results.

Suggested Citation

  • Zeng, Yuan & Tan, Xianchun & Gu, Baihe & Wang, Yi & Xu, Baoguang, 2016. "Greenhouse gas emissions of motor vehicles in Chinese cities and the implication for China’s mitigation targets," Applied Energy, Elsevier, vol. 184(C), pages 1016-1025.
    • Handle: RePEc:eee:appene:v:184:y:2016:i:c:p:1016-1025
    DOI: 10.1016/j.apenergy.2016.06.130
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    as
    1. Peterson, Meghan B. & Barter, Garrett E. & West, Todd H. & Manley, Dawn K., 2014. "A parametric study of light-duty natural gas vehicle competitiveness in the United States through 2050," Applied Energy, Elsevier, vol. 125(C), pages 206-217.
    2. Bauer, Mariano & Mar, Elizabeth & Elizalde, Alberto, 2003. "Transport and energy demand in Mexico: the personal income shock," Energy Policy, Elsevier, vol. 31(14), pages 1475-1480, November.
    3. Cheng, Yung-Hsiang & Chang, Yu-Hern & Lu, I.J., 2015. "Urban transportation energy and carbon dioxide emission reduction strategies," Applied Energy, Elsevier, vol. 157(C), pages 953-973.
    4. Zhang, Chuanguo & Zhao, Wei, 2014. "Panel estimation for income inequality and CO2 emissions: A regional analysis in China," Applied Energy, Elsevier, vol. 136(C), pages 382-392.
    5. Tian Wu & Hongmei Zhao & Xunmin Ou, 2014. "Vehicle Ownership Analysis Based on GDP per Capita in China: 1963–2050," Sustainability, MDPI, vol. 6(8), pages 1-23, August.
    6. Bartolozzi, I. & Rizzi, F. & Frey, M., 2013. "Comparison between hydrogen and electric vehicles by life cycle assessment: A case study in Tuscany, Italy," Applied Energy, Elsevier, vol. 101(C), pages 103-111.
    7. Zhu Liu & Dabo Guan & Wei Wei & Steven J. Davis & Philippe Ciais & Jin Bai & Shushi Peng & Qiang Zhang & Klaus Hubacek & Gregg Marland & Robert J. Andres & Douglas Crawford-Brown & Jintai Lin & Hongya, 2015. "Reduced carbon emission estimates from fossil fuel combustion and cement production in China," Nature, Nature, vol. 524(7565), pages 335-338, August.
    8. 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.
    9. Bielaczyc, Piotr & Woodburn, Joseph & Szczotka, Andrzej, 2014. "An assessment of regulated emissions and CO2 emissions from a European light-duty CNG-fueled vehicle in the context of Euro 6 emissions regulations," Applied Energy, Elsevier, vol. 117(C), pages 134-141.
    10. He, Kebin & Huo, Hong & Zhang, Qiang & He, Dongquan & An, Feng & Wang, Michael & Walsh, Michael P., 2005. "Oil consumption and CO2 emissions in China's road transport: current status, future trends, and policy implications," Energy Policy, Elsevier, vol. 33(12), pages 1499-1507, August.
    11. Orsi, Francesco & Muratori, Matteo & Rocco, Matteo & Colombo, Emanuela & Rizzoni, Giorgio, 2016. "A multi-dimensional well-to-wheels analysis of passenger vehicles in different regions: Primary energy consumption, CO2 emissions, and economic cost," Applied Energy, Elsevier, vol. 169(C), pages 197-209.
    12. Meyer, Ina & Kaniovski, Serguei & Scheffran, Jürgen, 2012. "Scenarios for regional passenger car fleets and their CO2 emissions," Energy Policy, Elsevier, vol. 41(C), pages 66-74.
    13. Wang, Hewu & Zhang, Xiaobin & Ouyang, Minggao, 2015. "Energy consumption of electric vehicles based on real-world driving patterns: A case study of Beijing," Applied Energy, Elsevier, vol. 157(C), pages 710-719.
    14. Dargay, Joyce & Gately, Dermot, 1999. "Income's effect on car and vehicle ownership, worldwide: 1960-2015," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(2), pages 101-138, February.
    15. Huo, Hong & Wang, Michael & Zhang, Xiliang & He, Kebin & Gong, Huiming & Jiang, Kejun & Jin, Yuefu & Shi, Yaodong & Yu, Xin, 2012. "Projection of energy use and greenhouse gas emissions by motor vehicles in China: Policy options and impacts," Energy Policy, Elsevier, vol. 43(C), pages 37-48.
    16. 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.
    17. Kudoh, Yuki & Kondo, Yoshinori & Matsuhashi, Keisuke & Kobayashi, Shinji & Moriguchi, Yuichi, 2004. "Current status of actual fuel-consumptions of petrol-fuelled passenger vehicles in Japan," Applied Energy, Elsevier, vol. 79(3), pages 291-308, November.
    18. Ou, Xunmin & Zhang, Xiliang & Chang, Shiyan, 2010. "Alternative fuel buses currently in use in China: Life-cycle fossil energy use, GHG emissions and policy recommendations," Energy Policy, Elsevier, vol. 38(1), pages 406-418, January.
    19. Joyce Dargay & Dermot Gately & Martin Sommer, 2007. "Vehicle Ownership and Income Growth, Worldwide: 1960-2030," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 143-170.
    20. Zhao, Xin & Doering, Otto C. & Tyner, Wallace E., 2015. "The economic competitiveness and emissions of battery electric vehicles in China," Applied Energy, Elsevier, vol. 156(C), pages 666-675.
    21. López, José M & Gómez, Álvaro & Aparicio, Francisco & Javier Sánchez, Fco., 2009. "Comparison of GHG emissions from diesel, biodiesel and natural gas refuse trucks of the City of Madrid," Applied Energy, Elsevier, vol. 86(5), pages 610-615, May.
    22. 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.
    23. Yan, Xiaoyu & Crookes, Roy J., 2009. "Reduction potentials of energy demand and GHG emissions in China's road transport sector," Energy Policy, Elsevier, vol. 37(2), pages 658-668, February.
    24. Zheng, Bo & Zhang, Qiang & Borken-Kleefeld, Jens & Huo, Hong & Guan, Dabo & Klimont, Zbigniew & Peters, Glen P. & He, Kebin, 2015. "How will greenhouse gas emissions from motor vehicles be constrained in China around 2030?," Applied Energy, Elsevier, vol. 156(C), pages 230-240.
    25. Chung, William & Zhou, Guanghui & Yeung, Iris M.H., 2013. "A study of energy efficiency of transport sector in China from 2003 to 2009," Applied Energy, Elsevier, vol. 112(C), pages 1066-1077.
    26. Hao, Han & Wang, Hewu & Ouyang, Minggao, 2011. "Comparison of policies on vehicle ownership and use between Beijing and Shanghai and their impacts on fuel consumption by passenger vehicles," Energy Policy, Elsevier, vol. 39(2), pages 1016-1021, February.
    27. Akkemik, K. Ali & Göksal, Koray & Li, Jia, 2012. "Energy consumption and income in Chinese provinces: Heterogeneous panel causality analysis," Applied Energy, Elsevier, vol. 99(C), pages 445-454.
    28. 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.
    29. Zhang, Ming & Mu, Hailin & Li, Gang & Ning, Yadong, 2009. "Forecasting the transport energy demand based on PLSR method in China," Energy, Elsevier, vol. 34(9), pages 1396-1400.
    30. Huo, Hong & Wang, Michael, 2012. "Modeling future vehicle sales and stock in China," Energy Policy, Elsevier, vol. 43(C), pages 17-29.
    31. Arteconi, A. & Brandoni, C. & Evangelista, D. & Polonara, F., 2010. "Life-cycle greenhouse gas analysis of LNG as a heavy vehicle fuel in Europe," Applied Energy, Elsevier, vol. 87(6), pages 2005-2013, June.
    32. Huo, Hong & He, Kebin & Wang, Michael & Yao, Zhiliang, 2012. "Vehicle technologies, fuel-economy policies, and fuel-consumption rates of Chinese vehicles," Energy Policy, Elsevier, vol. 43(C), pages 30-36.
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