IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v80y2020ics073988592030010x.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S073988592030010X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2020.100821?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Sun, J.W & Ang, B.W, 2000. "Some properties of an exact energy decomposition model," Energy, Elsevier, vol. 25(12), pages 1177-1188.
    12. 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.
    13. 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.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhao, Congyu & Jia, Rongwen & Dong, Kangyin, 2023. "How does smart transportation technology promote green total factor productivity? The case of China," Research in Transportation Economics, Elsevier, vol. 101(C).
    2. Suchi Kapoor Malhotra & Howard White & Nina Ashley O. Dela Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, ZhongXiang, 2003. "Why did the energy intensity fall in China's industrial sector in the 1990s? The relative importance of structural change and intensity change," Energy Economics, Elsevier, vol. 25(6), pages 625-638, November.
    2. repec:dgr:rugcds:200111 is not listed on IDEAS
    3. Zhang, Zhong Xiang, 2001. "Why has the energy intensity fallen in China's industrial sector in the 1990s? : the relative importance of structural change and intensity change," CCSO Working Papers 200105, University of Groningen, CCSO Centre for Economic Research.
    4. repec:dgr:rugccs:200105 is not listed on IDEAS
    5. Fernández, Esteban & Fernández, Paula, 2008. "An extension to Sun's decomposition methodology: The Path Based approach," Energy Economics, Elsevier, vol. 30(3), pages 1020-1036, May.
    6. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach," Energy, Elsevier, vol. 73(C), pages 741-750.
    7. Nag, Barnali & Parikh, Jyoti, 2000. "Indicators of carbon emission intensity from commercial energy use in India," Energy Economics, Elsevier, vol. 22(4), pages 441-461, August.
    8. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    9. Kontokosta, Constantine E. & Tull, Christopher, 2017. "A data-driven predictive model of city-scale energy use in buildings," Applied Energy, Elsevier, vol. 197(C), pages 303-317.
    10. Ang, B.W. & Huang, H.C. & Mu, A.R., 2009. "Properties and linkages of some index decomposition analysis methods," Energy Policy, Elsevier, vol. 37(11), pages 4624-4632, November.
    11. Shaista Alam & Mohammad Sabihuddin Butt, 2001. "Assessing Energy Consumption and Energy Intensity Changes in Pakistan: An Application of Complete Decomposition Model," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 40(2), pages 135-147.
    12. Cansino, José M. & Sánchez-Braza, Antonio & Rodríguez-Arévalo, María L., 2015. "Driving forces of Spain׳s CO2 emissions: A LMDI decomposition approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 749-759.
    13. Greening, Lorna A. & Davis, William B. & Schipper, Lee & Khrushch, Marta, 1997. "Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries," Energy Economics, Elsevier, vol. 19(3), pages 375-390, July.
    14. 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.
    15. Rui Wang & Quan Yuan, 2017. "Are denser cities greener? Evidence from China, 2000–2010," Natural Resources Forum, Blackwell Publishing, vol. 41(3), pages 179-189, August.
    16. Lenzen, Manfred, 2006. "Decomposition analysis and the mean-rate-of-change index," Applied Energy, Elsevier, vol. 83(3), pages 185-198, March.
    17. Bruyn, Sander M. de, 1997. "Explaining the environmental Kuznets Curve: the case of sulphur emissions," Serie Research Memoranda 0013, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    18. 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.
    19. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    20. Kaivo-oja, J. & Luukkanen, J. & Panula-Ontto, J. & Vehmas, J. & Chen, Y. & Mikkonen, S. & Auffermann, B., 2014. "Are structural change and modernisation leading to convergence in the CO2 economy? Decomposition analysis of China, EU and USA," Energy, Elsevier, vol. 72(C), pages 115-125.
    21. P. Fernández-González & M. Landajo & M.J. Presno, 2013. "Factors Influencing Changes In Aggregate Energy Consumption. An European Cross-Country Analysis," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(2), pages 18-30.
    22. Md. Afzal Hossain & Jean Engo & Songsheng Chen, 2021. "The main factors behind Cameroon’s CO2 emissions before, during and after the economic crisis of the 1980s," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4500-4520, March.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:retrec:v:80:y:2020:i:c:s073988592030010x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.