IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0276403.html
   My bibliography  Save this article

Impact of high-speed rail on tourism in China

Author

Listed:
  • Kehan Shi
  • Jinfang Wang
  • Xiaojin Liu
  • Xiaoying Zhao

Abstract

The “time-space compression” effect of high-speed rail (HSR) has effectively improved the accessibility of the cities and has had a profound impact on tourism. This study explores the impact of HSR on tourism development in cities along HSR lines from the perspective of transfer of transport advantages, then evaluates the impact of HSR on tourism development using panel data of 286 cities in China from 2005 to 2013 by the difference-in-differences (DID) method. The empirical results show that the opening of HSR has significantly increased the tourism revenue and tourist arrivals. These results are still holds after considering endogenous HSR lines placement, and by various robustness checks. Further analysis of nodal effect shows that node cities experienced greater growth in tourism revenue than non-node cities. The analysis of mechanism found that tourism development in node cities relied on hotel industry, while tourism development in non-node cities relied on scenic spots industry. The findings of this study validate the role of HSR as a catalyst for urban tourism development, and reveal the comparative advantages of tourism in different cities under the influence of HSR. This study has important reference value for the development of tourism industry policies in cities along and around HSR lines.

Suggested Citation

  • Kehan Shi & Jinfang Wang & Xiaojin Liu & Xiaoying Zhao, 2022. "Impact of high-speed rail on tourism in China," PLOS ONE, Public Library of Science, vol. 17(12), pages 1-18, December.
  • Handle: RePEc:plo:pone00:0276403
    DOI: 10.1371/journal.pone.0276403
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0276403
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0276403&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0276403?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
    ---><---

    References listed on IDEAS

    as
    1. Zhenzhi Yang & Taohong Li, 2020. "Does high-speed rail boost urban tourism economy in China?," Current Issues in Tourism, Taylor & Francis Journals, vol. 23(16), pages 1973-1989, August.
    2. Fangqu Niu & Fang Wang, 2022. "Correction: Niu, F.; Wang, F. Economic Spatial Structure in China: Evidence from Railway Transport Network. Land 2022, 11 , 61," Land, MDPI, vol. 12(1), pages 1-1, December.
    3. Fangqu Niu & Fang Wang, 2022. "Economic Spatial Structure in China: Evidence from Railway Transport Network," Land, MDPI, vol. 11(1), pages 1-17, January.
    4. Sophie Masson & Romain Petiot, 2009. "Can the High Speed Rail reinforce tourism attractiveness? The case of the High Speed Railway section between Perpignan (France) and Barcelona (Spain)," Post-Print hal-02422659, HAL.
    5. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    6. Hao Zhang & Ye Duan & Zenglin Han, 2021. "Research on Spatial Patterns and Sustainable Development of Rural Tourism Destinations in the Yellow River Basin of China," Land, MDPI, vol. 10(8), pages 1-24, August.
    7. Xiaodong Chen & Tian Wang & Xin Zheng & Fang Han & Zhaoping Yang, 2022. "The Structure and Evolution of the Tourism Economic Network of the Tibetan Plateau and Its Driving Factors," Land, MDPI, vol. 11(2), pages 1-18, February.
    8. repec:hal:journl:hal-03062650 is not listed on IDEAS
    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. Vasile Dragu & Floriana Cristina Oprea & Eugenia Alina Roman, 2025. "Assessment of Bucharest Metro Expansion and Its Correlation with the Territorial System," Land, MDPI, vol. 14(5), pages 1-29, April.
    2. Chong Ye & Yanhong Zheng & Shanlang Lin & Zhaoyang Zhao, 2022. "The Impact of High-Speed Railway Opening on Regional Economic Growth: The Case of the Wuhan–Guangzhou High-Speed Railway Line," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    3. Deng, Taotao & Gan, Chen & Du, Huiping & Hu, Yukun & Wang, Dandan, 2021. "Do high speed rail configurations matter to tourist arrivals? Empirical evidence from China's prefecture-level cities," Research in Transportation Economics, Elsevier, vol. 90(C).
    4. Liansheng Zheng & Juncheng Li & Zhihua Zhao, 2022. "High‐Speed Rail Service and the Issuance of Municipal Corporate Bonds," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(4), pages 230-254, July.
    5. Boto-García, David & Pérez, Levi, 2023. "The effect of high-speed rail connectivity and accessibility on tourism seasonality," Journal of Transport Geography, Elsevier, vol. 107(C).
    6. Li, Guangqin & Pu, Kangyun & Long, Minghui, 2023. "High-speed rail connectivity, space-time distance compression, and trans-regional tourism flows: Evidence from China's inbound tourism," Journal of Transport Geography, Elsevier, vol. 109(C).
    7. Wang, Jingyuan & Terabe, Shintaro & Yaginuma, Hideki & Uno, Haruka & Suzuki, Yu, 2024. "Do high-speed railways have an impact on population change? evidence from Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    8. Zhang, Anqi & Liu, Lihua & Liu, Guangqiang, 2020. "High-speed rail, tourist mobility, and firm value," Economic Modelling, Elsevier, vol. 90(C), pages 108-116.
    9. Jia, Ce & Guo, Xiaodan & Tian, Ziyue & Xiao, Bowen, 2025. "Unintended consequences of SO2 mitigation: Increased PM and infant mortality in China," Energy Economics, Elsevier, vol. 144(C).
    10. Jureviciene Daiva & Pupelyte Laura, 2013. "Forecasting of the Influence of Financial Institutions Loan Portfolio Change for the Economic Sectors of the Country," Creative and Knowledge Society, Sciendo, vol. 3(1), pages 1-16, July.
    11. Tianjiao Zhao & Xiang Xiao & Qinghui Dai, 2021. "Transportation Infrastructure Construction and High-Quality Development of Enterprises: Evidence from the Quasi-Natural Experiment of High-Speed Railway Opening in China," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    12. Honghui Miao & Qingshuang Quan & Ming Yang, 2025. "Study on the Regional Carbon Emissions Reduction Effect of Green Manufacturing—A Policy Experiment Based on the Construction of Green Parks in China," Sustainability, MDPI, vol. 17(4), pages 1-23, February.
    13. Laiqun Jin & Xiuyan Liu & Sam Hak Kan Tang, 2021. "High-Technology Zones, Misallocation of Resources among Cities and Aggregate Productivity: Evidence from China," Economics Discussion / Working Papers 21-11, The University of Western Australia, Department of Economics.
    14. Johannes Blum & Klaus Gründler, 2020. "Political Stability and Economic Prosperity: Are Coups Bad for Growth?," CESifo Working Paper Series 8317, CESifo.
    15. Jin, Laiqun & Dai, Jiaying & Jiang, Weijie & Cao, Kairui, 2023. "Digital finance and misallocation of resources among firms: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    16. Bilin Neyapti, 2018. "Income distribution and economic crises," International Finance, Wiley Blackwell, vol. 21(3), pages 273-296, December.
    17. Zhangsheng Liu & Liuqingqing Yang & Liqin Fan, 2021. "Induced Effect of Environmental Regulation on Green Innovation: Evidence from the Increasing-Block Pricing Scheme," IJERPH, MDPI, vol. 18(5), pages 1-15, March.
    18. Lin, Ling & Xiao, Min & Yao, Rongrong & Zhang, Xiaoying, 2024. "Product market liberalization and corporate cash holdings: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    19. Laureti, Carolina & Szafarz, Ariane, 2023. "Banking regulation and costless commitment contracts for time-inconsistent agents," Economic Modelling, Elsevier, vol. 129(C).
    20. Dan Pan & Peiyao Zhou & Fanbin Kong, 2023. "Effect of place-based policy on regional economic growth: A quasi-natural experiment from China’s Old Revolutionary Development Program," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-20, July.

    More about this item

    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:plo:pone00:0276403. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.