IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v74y2019icp187-200.html
   My bibliography  Save this article

The impact of high-speed rail on civil aviation in China

Author

Listed:
  • Li, Hongchang
  • Strauss, Jack
  • Lu, Liu

Abstract

This paper examines the impact of High-Speed Rail (HSR) on the domestic Chinese aviation passenger market. Our dataset comprises a panel of 642 air and HSR routes from 2007 to 2014. During rapid HSR expansion from 2010 to 2014, the number of air passengers per route grew 32% for destinations that did not compete with HSR, but fell 7% for routes that faced HSR competition. A difference-in-differences approach shows that the introduction of HSR leads to more than a 50% fall in air travel over two years. Increased frequency of daily HSR routes further contributes to economically large declines in air passengers. The negative effects of HSR introduction and additional daily service to air travel increase substantially over-time and the recent expansion of HSR to Central and Western regions in China dampens demand for air travel more than coastal regions. These factors point to future challenges for aviation as China plans to expand rapidly HSR service inland.

Suggested Citation

  • Li, Hongchang & Strauss, Jack & Lu, Liu, 2019. "The impact of high-speed rail on civil aviation in China," Transport Policy, Elsevier, vol. 74(C), pages 187-200.
  • Handle: RePEc:eee:trapol:v:74:y:2019:i:c:p:187-200
    DOI: 10.1016/j.tranpol.2018.11.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X18303226
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2018.11.015?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. Li, Zhi-Chun & Sheng, Dian, 2016. "Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 397-410.
    2. Bilotkach, Volodymyr & Fageda, Xavier & Flores-Fillol, Ricardo, 2010. "Scheduled service versus personal transportation: The role of distance," Regional Science and Urban Economics, Elsevier, vol. 40(1), pages 60-72, January.
    3. Dobruszkes, Frédéric & Dehon, Catherine & Givoni, Moshe, 2014. "Does European high-speed rail affect the current level of air services? An EU-wide analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 461-475.
    4. Wan, Yulai & Ha, Hun-Koo & Yoshida, Yuichiro & Zhang, Anming, 2016. "Airlines’ reaction to high-speed rail entries: Empirical study of the Northeast Asian market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 532-557.
    5. Vicente Inglada & GinÊs de Rus, 1997. "Cost-benefit analysis of the high-speed train in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(2), pages 175-188.
    6. Roger Vickerman, 1997. "High-speed rail in Europe: experience and issues for future development," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 21-38.
    7. Wang, Kun & Xia, Wenyi & Zhang, Anming, 2017. "Should China further expand its high-speed rail network? Consider the low-cost carrier factor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 105-120.
    8. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    9. Juan Martín & Gustavo Nombela, 2007. "Microeconomic impacts of investments in high speed trains in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(3), pages 715-733, September.
    10. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, October.
    11. Wang, Lei, 2018. "High-speed rail services development and regional accessibility restructuring in megaregions: A case of the Yangtze River Delta, China," Transport Policy, Elsevier, vol. 72(C), pages 34-44.
    12. Fu, Xiaowen & Zhang, Anming & Lei, Zheng, 2012. "Will China’s airline industry survive the entry of high-speed rail?," Research in Transportation Economics, Elsevier, vol. 35(1), pages 13-25.
    13. Cheng, Yung-Hsiang, 2010. "High-speed rail in Taiwan: New experience and issues for future development," Transport Policy, Elsevier, vol. 17(2), pages 51-63, March.
    14. Yang, Hangjun & Zhang, Anming, 2012. "Effects of high-speed rail and air transport competition on prices, profits and welfare," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1322-1333.
    15. Zhang, Fangni & Graham, Daniel J. & Wong, Mark Siu Chun, 2018. "Quantifying the substitutability and complementarity between high-speed rail and air transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 191-215.
    16. Mar González-Savignat, 2004. "Competition in Air Transport," Journal of Transport Economics and Policy, University of Bath, vol. 38(1), pages 77-107, January.
    17. Kennedy, Peter E, 1981. "Estimation with Correctly Interpreted Dummy Variables in Semilogarithmic Equations [The Interpretation of Dummy Variables in Semilogarithmic Equations]," American Economic Review, American Economic Association, vol. 71(4), pages 801-801, September.
    18. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    19. Fu, Xiaowen & Lei, Zheng & Wang, Kun & Yan, Jia, 2015. "Low cost carrier competition and route entry in an emerging but regulated aviation market – The case of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 79(C), pages 3-16.
    20. Clewlow, Regina R. & Sussman, Joseph M. & Balakrishnan, Hamsa, 2014. "The impact of high-speed rail and low-cost carriers on European air passenger traffic," Transport Policy, Elsevier, vol. 33(C), pages 136-143.
    21. Ismail, Normaz Wana & Mahyideen, Jamilah Mohd, 2015. "The Impact of Infrastructure on Trade and Economic Growth in Selected Economies in Asia," ADBI Working Papers 553, Asian Development Bank Institute.
    22. Chen, Zhenhua, 2017. "Impacts of high-speed rail on domestic air transportation in China," Journal of Transport Geography, Elsevier, vol. 62(C), pages 184-196.
    23. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    24. Zhang, Qiong & Yang, Hangjun & Wang, Qiang & Zhang, Anming, 2014. "Market power and its determinants in the Chinese airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 1-13.
    Full references (including those not matched with items on IDEAS)

    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, Anming & Wan, Yulai & Yang, Hangjun, 2019. "Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research," Transport Policy, Elsevier, vol. 81(C), pages 1-19.
    2. Su, Min & Luan, Weixin & Fu, Xiaowen & Yang, Zaili & Zhang, Rui, 2020. "The competition effects of low-cost carriers and high-speed rail on the Chinese aviation market," Transport Policy, Elsevier, vol. 95(C), pages 37-46.
    3. Wan, Yulai & Ha, Hun-Koo & Yoshida, Yuichiro & Zhang, Anming, 2016. "Airlines’ reaction to high-speed rail entries: Empirical study of the Northeast Asian market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 532-557.
    4. Chen, Zhenhua, 2017. "Impacts of high-speed rail on domestic air transportation in China," Journal of Transport Geography, Elsevier, vol. 62(C), pages 184-196.
    5. Li, Zhi-Chun & Tu, Ningwen & Fu, Xiaowen & Sheng, Dian, 2022. "Modeling the effects of airline and high-speed rail cooperation on multi-airport systems: The implications on congestion, competition and social welfare," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 448-478.
    6. Bergantino, Angela Stefania & Madio, Leonardo, 2020. "Intermodal competition and substitution. HSR versus air transport: Understanding the socio-economic determinants of modal choice," Research in Transportation Economics, Elsevier, vol. 79(C).
    7. Yang, Hangjun & Ma, Wenliang & Wang, Qiang & Wang, Kun & Zhang, Yahua, 2020. "Welfare implications for air passengers in China in the era of high-speed rail," Transport Policy, Elsevier, vol. 95(C), pages 1-13.
    8. Chen, Zhe & Wang, Zhengli & Jiang, Hai, 2019. "Analyzing the heterogeneous impacts of high-speed rail entry on air travel in China: A hierarchical panel regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 86-98.
    9. Asep Yayat Nurhidayat & Hera Widyastuti & Sutikno & Dwi Phalita Upahita, 2023. "Research on Passengers’ Preferences and Impact of High-Speed Rail on Air Transport Demand," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    10. Jiao, Jingjuan & Wang, Jiaoe & Zhang, Fangni & Jin, Fengjun & Liu, Wei, 2020. "Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China," Transport Policy, Elsevier, vol. 91(C), pages 1-15.
    11. Wang, Wei & Sun, Huijun & Wu, Jianjun, 2020. "How does the decision of high-speed rail operator affect social welfare? Considering competition between high-speed rail and air transport," Transport Policy, Elsevier, vol. 88(C), pages 1-15.
    12. Gu, Hongyi & Wan, Yulai, 2022. "Airline reactions to high-speed rail entry: Rail quality and market structure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 511-532.
    13. Zhang, Qiong & Yang, Hangjun & Wang, Qiang, 2017. "Impact of high-speed rail on China’s Big Three airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 77-85.
    14. Gu, Hongyi & Wan, Yulai, 2020. "Can entry of high-speed rail increase air traffic? Price competition, travel time difference and catchment expansion," Transport Policy, Elsevier, vol. 97(C), pages 55-72.
    15. Liu, Shuli & Wan, Yulai & Ha, Hun-Koo & Yoshida, Yuichiro & Zhang, Anming, 2019. "Impact of high-speed rail network development on airport traffic and traffic distribution: Evidence from China and Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 115-135.
    16. Ma, Wenliang & Wang, Qiang & Yang, Hangjun & Zhang, Anming & Zhang, Yahua, 2019. "Effects of Beijing-Shanghai high-speed rail on air travel: Passenger types, airline groups and tacit collusion," Research in Transportation Economics, Elsevier, vol. 74(C), pages 64-76.
    17. Wang, Jiaoe & Huang, Jie & Jing, Yue, 2020. "Competition between high-speed trains and air travel in China: From a spatial to spatiotemporal perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 62-78.
    18. Chen, Zhe & Jiang, Hai, 2020. "Impacts of high-speed rail on domestic air cargo traffic in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 1-13.
    19. Zhang, Rui & Johnson, Daniel & Zhao, Weiming & Nash, Chris, 2019. "Competition of airline and high-speed rail in terms of price and frequency: Empirical study from China," Transport Policy, Elsevier, vol. 78(C), pages 8-18.
    20. Ren, Xiaohang & Zeng, Gudian & Dong, Kangyin & Wang, Kun, 2023. "How does high-speed rail affect tourism development? The case of the Sichuan-Chongqing Economic Circle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).

    More about this item

    Keywords

    China high-speed railroads; Air transport;

    JEL classification:

    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

    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:trapol:v:74:y:2019:i:c:p:187-200. 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/30473/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.