IDEAS home Printed from https://ideas.repec.org/a/bla/growch/v53y2022i3p1012-1036.html
   My bibliography  Save this article

High‐speed rail and city tourism: Evidence from Tencent migration big data on two Chinese golden weeks

Author

Listed:
  • Yanyan Gao
  • Yongqing Nan
  • Shunfeng Song

Abstract

This paper estimates the effect of high‐speed rail (HSR) on city tourism. To identify the causal effect, we measure tourism outcomes with population flow data from Tencent migration big data and construct daily panel data of two national holidays from April 2015 to May 2019. Empirical results reveal that HSR connection increases the intercity tourist flows, which holds under a number of robustness checks. Such effect is greater in the Labor Day holiday than in the National Day holiday, and the impact on tourist outflow in the first‐half holiday is greater than that on tourist inflow. We also find that HSR connection increases the intensity that tourists travel by train. Our findings provide solid evidence on the contribution of transportation improvement to city tourism economy.

Suggested Citation

  • Yanyan Gao & Yongqing Nan & Shunfeng Song, 2022. "High‐speed rail and city tourism: Evidence from Tencent migration big data on two Chinese golden weeks," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1012-1036, September.
    • Handle: RePEc:bla:growch:v:53:y:2022:i:3:p:1012-1036
    DOI: 10.1111/grow.12473
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/grow.12473
    Download Restriction: no
    File URL: https://libkey.io/10.1111/grow.12473?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. Dong, Xiaofang & Zheng, Siqi & Kahn, Matthew E., 2020. "The role of transportation speed in facilitating high skilled teamwork across cities," Journal of Urban Economics, Elsevier, vol. 115(C).
    2. Dave Donaldson, 2018. "Railroads of the Raj: Estimating the Impact of Transportation Infrastructure," American Economic Review, American Economic Association, vol. 108(4-5), pages 899-934, April.
    3. Shaw, Shih-Lung & Fang, Zhixiang & Lu, Shiwei & Tao, Ran, 2014. "Impacts of high speed rail on railroad network accessibility in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 112-122.
    4. Erik Hornung, 2015. "Railroads And Growth In Prussia," Journal of the European Economic Association, European Economic Association, vol. 13(4), pages 699-736, August.
    5. Campa, Juan Luis & López-Lambas, María Eugenia & Guirao, Begoña, 2016. "High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience," Journal of Transport Geography, Elsevier, vol. 57(C), pages 44-54.
    6. Yu Qin, 2017. "‘No county left behind?’ The distributional impact of high-speed rail upgrades in China," Journal of Economic Geography, Oxford University Press, vol. 17(3), pages 489-520.
    7. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    8. Aaron Gutiérrez & Daniel Miravet & Òscar Saladié & Salvador Anton Clavé, 2020. "High-speed rail, tourists’ destination choice and length of stay: A survival model analysis," Tourism Economics, , vol. 26(4), pages 578-597, June.
    9. Hanming Fang & Long Wang & Yang Yang, 2020. "Competition and Quality: Evidence from High-Speed Railways and Airlines," NBER Working Papers 27475, National Bureau of Economic Research, Inc.
    10. 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.
    11. Albalate, Daniel & Fageda, Xavier, 2016. "High speed rail and tourism: Empirical evidence from Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 174-185.
    12. 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.
    13. Chen, Zhenhua & Haynes, Kingsley E., 2015. "Impact of high speed rail on housing values: an observation from the Beijing–Shanghai line," Journal of Transport Geography, Elsevier, vol. 43(C), pages 91-100.
    14. Benjamin Faber, 2014. "Trade Integration, Market Size, and Industrialization: Evidence from China's National Trunk Highway System," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 1046-1070.
    15. Yanyan Gao & Shunfeng Song & Jun Sun & Leizhen Zang, 2020. "Does high‐speed rail connection really promote local economy? Evidence from China’s Yangtze River Delta," Review of Development Economics, Wiley Blackwell, vol. 24(1), pages 316-338, February.
    16. Banerjee, Abhijit & Duflo, Esther & Qian, Nancy, 2020. "On the road: Access to transportation infrastructure and economic growth in China," Journal of Development Economics, Elsevier, vol. 145(C).
    17. Komei Sasaki & Tadahiro Ohashi & Asao Ando, 1997. "High-speed rail transit impact on regional systems: does the Shinkansen contribute to dispersion?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 77-98.
    18. Albalate, Daniel & Bel, Germà & Fageda, Xavier, 2015. "Competition and cooperation between high-speed rail and air transportation services in Europe," Journal of Transport Geography, Elsevier, vol. 42(C), pages 166-174.
    19. Hodgson, Charles, 2018. "The effect of transport infrastructure on the location of economic activity: Railroads and post offices in the American West," Journal of Urban Economics, Elsevier, vol. 104(C), pages 59-76.
    20. Sophie Masson & Romain Petiot, 2009. "Can the high speed rail reinforce tourism attractiveness ? The case of the hagh speed rail between Perpignan (france) and Barcelona (Spain)," Post-Print hal-03062650, HAL.
    21. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    22. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, January.
    23. 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.
    24. 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.
    25. Li, Hongchang & Wang, Kun & Yu, Kemei & Zhang, Anming, 2020. "Are conventional train passengers underserved after entry of high-speed rail?-Evidence from Chinese intercity markets," Transport Policy, Elsevier, vol. 95(C), pages 1-9.
    26. Fogel, Robert William, 1962. "A Quantitative Approach to the Study of Railroads in American Economic Growth: A Report of Some Preliminary Findings," The Journal of Economic History, Cambridge University Press, vol. 22(2), pages 163-197, June.
    27. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    28. Lin, Yatang, 2017. "Travel costs and urban specialization patterns: Evidence from China’s high speed railway system," Journal of Urban Economics, Elsevier, vol. 98(C), pages 98-123.
    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. Gao, Yanyan & Zhang, Lin & Nan, Yongqing, 2023. "Travel to breathe the fresh air? Big data evidence on the short-term migration effect of air pollution from China," China Economic Review, Elsevier, vol. 82(C).

    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. Yahong Liu & Daisheng Tang & Tao Bu & Xinyuan Wang, 2022. "The spatial employment effect of high-speed railway: quasi-natural experimental evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 333-359, October.
    2. Liu, Mengsha & Jiang, Yan & Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong, 2023. "Effect of high-speed rail on entrepreneurial activities: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    3. Xinshuo Hou, 2019. "High-Speed Railway and City Tourism in China: A Quasi-Experimental Study on HSR Operation," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    4. Xinyuan Wang & Daisheng Tang & Yahong Liu & Tao Bu, 2023. "The impact of high-speed railway on labor market between the North and South: evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 487-515, October.
    5. Gao, Yanyan & Zheng, Jianghuai, 2020. "The impact of high-speed rail on innovation: An empirical test of the companion innovation hypothesis of transportation improvement with China’s manufacturing firms," World Development, Elsevier, vol. 127(C).
    6. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    7. Fangting Chi & Haoying Han, 2023. "The Impact of High-Speed Rail on Economic Development: A County-Level Analysis," Land, MDPI, vol. 12(4), pages 1-22, April.
    8. Okamoto, Chigusa & Sato, Yasuhiro, 2021. "Impacts of high-speed rail construction on land prices in urban agglomerations: Evidence from Kyushu in Japan," Journal of Asian Economics, Elsevier, vol. 76(C).
    9. Gao, Yanyan & Zheng, Jianghuai & Wang, Xin, 2022. "Does high-speed rail reduce environmental pollution? Establishment-level evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    10. Yang, Xiaolan & Wang, Rui & Guo, Dongmei & Sun, Weizeng, 2020. "The reconfiguration effect of China's high-speed railway on intercity connection ——A study based on media attention index," Transport Policy, Elsevier, vol. 95(C), pages 47-56.
    11. Chen, Zhenhua, 2023. "Socioeconomic Impacts of high-speed rail: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    12. Hanley, Douglas & Li, Jiancheng & Wu, Mingqin, 2022. "High-speed railways and collaborative innovation," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    13. Mohsen Momenitabar & Zhila Dehdari Ebrahimi & Mohammad Arani, 2020. "A Systematic and Analytical Review of the Socioeconomic and Environmental Impact of the Deployed High-Speed Rail (HSR) Systems on the World," Papers 2003.04452, arXiv.org, revised Mar 2020.
    14. Wang, Qi & Lu, Shaokai, 2022. "The influence of hybrid accessibility on tourism economy in prefecture-level cities: Evidence from China's high-speed rail network," Journal of Transport Geography, Elsevier, vol. 104(C).
    15. Liaoliao Duan & Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2021. "Transportation infrastructure and capital mobility: evidence from China’s high-speed railways," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 617-648, December.
    16. Feng, Qiyun & Chen, Zhenhua & Cheng, Chuanchao & Chang, Haiqing, 2023. "Impact of high-speed rail on high-skilled labor mobility in China," Transport Policy, Elsevier, vol. 133(C), pages 64-74.
    17. Zhang, Xueliang & Hu, Yuqi & Lin, Yongran, 2020. "The influence of highway on local economy: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 82(C).
    18. 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.
    19. Huang, Yan & Zong, Huiming, 2020. "The spatial distribution and determinants of China’s high-speed train services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 56-70.
    20. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.

    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:bla:growch:v:53:y:2022:i:3:p:1012-1036. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0017-4815 .

    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.