IDEAS home Printed from https://ideas.repec.org/p/sgc/wpaper/107.html
   My bibliography  Save this paper

The Chinese Are Coming – An Analysis Of The Preferences Of Chinese Holiday Makers At Home And Abroad

Author

Listed:
  • Maren A. Lau
  • Richard S.J. Tol

    () (Economic and Social Research Institute, Dublin)

Abstract

We analyse the destination choice of Chinese tourists in China and abroad. Abroad, Chinese tourists prefer to travel to large and rich countries, and are little deterred by distance. Climate, coast, culture and political stability are irrelevant. Chinese tourists travel disproportionally to “approved destinations”, but this is being eroded as more countries acquire this status. The model predicts that Southeast Asian countries are harmed most by the extension of the ADS system, while North America suffers most from being excluded. Domestically, Chinese tourists prefer rich and densely population areas, but dislike cities. They value easy access by road and rail, and are attracted by nature. Cultural attractions are less important, and may even reduce tourist numbers. Although potential tourist numbers are large, tourist operators should not assume that Chinese tourists behave like other tourists.

Suggested Citation

  • Maren A. Lau & Richard S.J. Tol, 2006. "The Chinese Are Coming – An Analysis Of The Preferences Of Chinese Holiday Makers At Home And Abroad," Working Papers FNU-107, Research unit Sustainability and Global Change, Hamburg University, revised Oct 2006.
  • Handle: RePEc:sgc:wpaper:107
    as

    Download full text from publisher

    File URL: https://www.fnu.zmaw.de/fileadmin/fnu-files/publication/working-papers/chinatourism2wp.pdf
    File Function: First version, 2006
    Download Restriction: no

    References listed on IDEAS

    as
    1. Jacqueline M. Hamilton & Maten A. Lau, 2004. "The Role Of Climate Information In Tourist Destination Choice Decision-Making," Working Papers FNU-56, Research unit Sustainability and Global Change, Hamburg University, revised Nov 2004.
    2. Chen, Weiqi & Hong, Huasheng & Liu, Yan & Zhang, Luoping & Hou, Xiaofeng & Raymond, Mark, 2004. "Recreation demand and economic value: An application of travel cost method for Xiamen Island," China Economic Review, Elsevier, vol. 15(4), pages 398-406.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    International tourism; domestic tourism; China; destination choice;

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    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:sgc:wpaper:107. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Uwe Schneider). General contact details of provider: http://edirc.repec.org/data/zmhamde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.