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Empirical study on the impact of China's metro services on urban transportation energy consumption

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  • Yu, Mingchao
  • Yu, Ran
  • Tang, Yuxuan
  • Liu, Zhen

Abstract

The development of metro systems has shortened the travel distances and density within cities, and promoted the transformation of urban transportation, which has had an impact on traffic energy consumption. Based on data from 81 cities in mainland China with a permanent population of more than one million from 2003 to 2016, this paper uses the difference in differences (DID) method to study the impact of urban metro systems on transportation energy consumption in China. The results show that after the opening of the city subway, per capita traffic energy consumption decreased, indicating that subways reduce energy consumption in urban areas; there exists a “U” relationship between metro operation intensity and per capita traffic energy consumption. The average level is far from the inflection point value, which indicates that an increase in metro operation intensity has the effect of improving traffic energy consumption. However, the marginal benefit of reducing urban traffic energy consumption is gradually decreasing. Further research has found that the metro system can reduce the distance travelled by cars by replacing the use of traditional automobile transportation, thus reducing transportation energy consumption.

Suggested Citation

  • Yu, Mingchao & Yu, Ran & Tang, Yuxuan & Liu, Zhen, 2020. "Empirical study on the impact of China's metro services on urban transportation energy consumption," Research in Transportation Economics, Elsevier, vol. 80(C).
    • Handle: RePEc:eee:retrec:v:80:y:2020:i:c:s073988592030010x
    DOI: 10.1016/j.retrec.2020.100821
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    1. Siqi Zheng & Rui Wang & Edward L. Glaeser & Matthew E. Kahn, 2011. "The greenness of China: household carbon dioxide emissions and urban development," Journal of Economic Geography, Oxford University Press, vol. 11(5), pages 761-792, September.
    2. Yihsu Chen & Alexander Whalley, 2012. "Green Infrastructure: The Effects of Urban Rail Transit on Air Quality," American Economic Journal: Economic Policy, American Economic Association, vol. 4(1), pages 58-97, February.
    3. Reid Ewing & Fang Rong, 2008. "The impact of urban form on U.S. residential energy use," Housing Policy Debate, Taylor & Francis Journals, vol. 19(1), pages 1-30, January.
    4. Petra Moser & Alessandra Voena, 2012. "Compulsory Licensing: Evidence from the Trading with the Enemy Act," American Economic Review, American Economic Association, vol. 102(1), pages 396-427, February.
    5. Sun, J.W & Ang, B.W, 2000. "Some properties of an exact energy decomposition model," Energy, Elsevier, vol. 25(12), pages 1177-1188.
    6. X. Q. Liu & B. W. Ang & H.L. Ong, 1992. "The Application of the Divisia Index to the Decomposition of Changes in Industrial Energy Consumption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 161-178.
    7. Lin, Jianyi & Cao, Bin & Cui, Shenghui & Wang, Wei & Bai, Xuemei, 2010. "Evaluating the effectiveness of urban energy conservation and GHG mitigation measures: The case of Xiamen city, China," Energy Policy, Elsevier, vol. 38(9), pages 5123-5132, September.
    8. Emmanouil Tranos, 2012. "The Causal Effect of the Internet Infrastructure on the Economic Development of European City Regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(3), pages 319-337, September.
    9. Dhakal, Shobhakar, 2009. "Urban energy use and carbon emissions from cities in China and policy implications," Energy Policy, Elsevier, vol. 37(11), pages 4208-4219, November.
    10. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    11. Ang, B. W. & Lee, S. Y., 1994. "Decomposition of industrial energy consumption : Some methodological and application issues," Energy Economics, Elsevier, vol. 16(2), pages 83-92, April.
    12. Seo, Kihwan & Golub, Aaron & Kuby, Michael, 2014. "Combined impacts of highways and light rail transit on residential property values: a spatial hedonic price model for Phoenix, Arizona," Journal of Transport Geography, Elsevier, vol. 41(C), pages 53-62.
    13. Huang, Jin-ping, 1993. "Industry energy use and structural change : A case study of The People's Republic of China," Energy Economics, Elsevier, vol. 15(2), pages 131-136, April.
    14. Howarth, Richard B. & Schipper, Lee & Duerr, Peter A. & Strøm, Steinar, 1991. "Manufacturing energy use in eight OECD countries : Decomposing the impacts of changes in output, industry structure and energy intensity," Energy Economics, Elsevier, vol. 13(2), pages 135-142, April.
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    More about this item

    Keywords

    Metro services; Urban traffic energy consumption; Continuous DID model; China;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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