IDEAS home Printed from https://ideas.repec.org/a/ags/pdcbeh/287211.html

Determinants of Chinese demand for tourism in Malaysia

Author

Listed:
  • Puah, Chin-Hong
  • Huan, Suk-Hie
  • Thien, Fung-Thai

Abstract

Tourism sector in Malaysia has always been one of its focal service industries not only in the past, but in the future as well in which Malaysian government has been focusing on diverting its economic activities from a resource-based to a service-based economy in its new economic model. China, a strongly emerging economy has been ranked as the third main tourist generating country for Malaysia since 2012. Hence, this study empirically identifies the macroeconomic determinants affecting the tourism demand from China to Malaysia. These determinants include real income, travel cost, exchange rate and trade openness. Particularly, real income and trade openness are evident to positively affect Chinese tourism demand while travel cost and exchange rate are found to adversely influence Chinese tourists’ decision to travel to Malaysia.

Suggested Citation

  • Puah, Chin-Hong & Huan, Suk-Hie & Thien, Fung-Thai, 2018. "Determinants of Chinese demand for tourism in Malaysia," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 14(3), May.
  • Handle: RePEc:ags:pdcbeh:287211
    DOI: 10.22004/ag.econ.287211
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/287211/files/Puah.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.287211?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
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Jong, Meng-Chang & Soh, Ann-Ni, 2021. "Responsible Recovery from COVID-19: An Empirical Overview of Tourism Industry," MPRA Paper 107661, University Library of Munich, Germany.
    2. Ann-Ni Soh & Chin-Hong Puah & M. Affendy Arip, 2019. "Forecasting Tourism Demand with Composite Indicator Approach for Fiji," Business and Economic Research, Macrothink Institute, vol. 9(4), pages 12-22, December.
    3. Jong, Meng-Chang & Hong, Puah & Arip, Mohammad Affendy, 2020. "Modelling Tourism Demand: An Augmented Gravity Model," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(2), pages 105-112.
    4. Jong, Meng-Chang, 2020. "Empirical Review on Tourism Demand and COVID-19," MPRA Paper 103919, University Library of Munich, Germany.

    More about this item

    Keywords

    ;

    JEL classification:

    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development
    • F2 - International Economics - - International Factor Movements and International Business

    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:ags:pdcbeh:287211. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/pradecz.html .

    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.