IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v4y1998i4p301-323.html
   My bibliography  Save this article

Tourism Demand Analysis Using Structural Equation Modelling

Author

Listed:
  • Lindsay W. Turner

    (Associate Professor in Applied Economics, Department of Applied Economics, Victoria University of Technology, PO Box 14428 MC, Melbourne, Victoria 8001, Australia)

  • Yvette Reisinger

    (Senior Lecturer in Marketing, Department of Marketing, Monash University, Berwick, Melbourne, Victoria 3806, Australia)

  • Stephen F. Witt

    (Professor of Tourism Forecasting, School of Management Studies for the Service Sector, University of Surrey, Guildford, Surrey, GU2 5XH, UK
    Department of Applied Economics, Victoria University of Technology, PO Box 14428 MC, Melbourne, Victoria 8001, Australia)

Abstract

Structural equation modelling is used to analyse quarterly tourist flow data from the UK to seven major destinations over the period 1978 to 1995, where the visit data are disaggregated into holiday, business and VFR categories. The objective is to determine which of the major explanatory variables, such as income, price, retail sales and manufacturing confidence, account for each of the disaggregated flows. Econometric structural equation modelling (LISREL) is used because it is capable of measuring a simultaneous relationship between several explanatory variables and several dependent variables, and also any relationship between the different dependent variables. Historically, tourism demand modelling has focused on total or holiday flows, without attempting to compare the determinants of tourism demand for different purposes of visit to specific destinations. However, an understanding of the differences and similarities in demand for different visit purposes is critical for industry planning. Different industry sectors cater for different types of tourists to varying degrees, and the influencing factors for each purpose of visit are unlikely to be the same.

Suggested Citation

  • Lindsay W. Turner & Yvette Reisinger & Stephen F. Witt, 1998. "Tourism Demand Analysis Using Structural Equation Modelling," Tourism Economics, , vol. 4(4), pages 301-323, December.
    • Handle: RePEc:sae:toueco:v:4:y:1998:i:4:p:301-323
    DOI: 10.1177/135481669800400401
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/135481669800400401
    Download Restriction: no
    File URL: https://libkey.io/10.1177/135481669800400401?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
    ---><---

    Citations

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


    Cited by:

    1. Yang, Yang & Fan, Yawen & Jiang, Lan & Liu, Xiaohui, 2022. "Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors?," Annals of Tourism Research, Elsevier, vol. 93(C).
    2. Sen Cheong Kon & Lindsay W. Turner, 2005. "Neural Network Forecasting of Tourism Demand," Tourism Economics, , vol. 11(3), pages 301-328, September.
    3. Hassan F. Gholipour & Behzad Foroughi, 2020. "Corruption and outbound business travels," Tourism Economics, , vol. 26(7), pages 1266-1281, November.
    4. Sudeshna Ghosh, 2021. "Business Confidence and Business Tourism in Japan," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 1-23, February.
    5. David Prescott & David Wilton & Canan Dadayli & Aaron Dickson, 2005. "Travel to Canada: the role of Canada's immigrant populations," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 651-663.
    6. Yap, Ghialy & Allen, David, 2011. "Investigating other leading indicators influencing Australian domestic tourism demand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1365-1374.

    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:sae:toueco:v:4:y:1998:i:4:p:301-323. 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: SAGE Publications (email available below). General contact details of provider: .

    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.