IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02544954.html
   My bibliography  Save this paper

Prévision de la demande touristique par méthodes Delphi et Box-Jenkins : Application à la destination du Vietnam

Author

Listed:
  • Tan Vo-Thanh

    (Excelia Group | La Rochelle Business School, CERIIM - Centre de Recherche en Intelligence et Innovation Managériales - Excelia Group | La Rochelle Business School, CEREGE [Poitiers, La Rochelle] - Centre de recherche en gestion [EA 1722] - IAE Poitiers - Institut d'Administration des Entreprises (IAE) - Poitiers - UP - Université de Poitiers = University of Poitiers - UP - Université de Poitiers = University of Poitiers - ULR - La Rochelle Université)

Abstract

L'article étudie l'évolution des principaux marchés émetteurs à destination du Vietnam, à savoir la Chine, le Japon et les États-Unis dans le contexte touristique concurrentiel d'Asie du Sud-Est. De ce fait, nous analysons la demande touristique potentielle en provenance de ces marchés à l'horizon 2010 en utilisant deux méthodes complémentaires : la méthode Delphi et la technique Box-Jenkins. Les résultats montrent que le tourisme vietnamien verrait, selon la méthode Delphi, dans les années à venir ses arrivées chinoises, japonaises et américaines croître et valident l'efficacité de la méthode Box-Jenkins pour des prévisions à court terme. Par contre, elle ne s'avère pas très fiable pour des prévisions à long terme.

Suggested Citation

  • Tan Vo-Thanh, 2010. "Prévision de la demande touristique par méthodes Delphi et Box-Jenkins : Application à la destination du Vietnam," Post-Print hal-02544954, HAL.
  • Handle: RePEc:hal:journl:hal-02544954
    Note: View the original document on HAL open archive server: https://hal.science/hal-02544954
    as

    Download full text from publisher

    File URL: https://hal.science/hal-02544954/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tan Vo-Thanh, 2006. "Le temps des risques : Une démarche de marketing d'une destination touristique face au nouveau contexte touristique mondial," Post-Print hal-02544865, HAL.
    2. N. Kulendran, 1996. "Modelling Quarterly Tourist Flows to Australia Using Cointegration Analysis," Tourism Economics, , vol. 2(3), pages 203-222, September.
    3. Christine Lim & Michael McAleer, 2001. "Time Series Forecasts of International Tourism Demand for Australia," ISER Discussion Paper 0533, Institute of Social and Economic Research, Osaka University.
    4. Kulendran, N. & King, Maxwell L., 1997. "Forecasting international quarterly tourist flows using error-correction and time-series models," International Journal of Forecasting, Elsevier, vol. 13(3), pages 319-327, September.
    5. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    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. Paresh Kumar Narayan, 2006. "Are Australia's tourism markets converging?," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1153-1162.
    2. James E. Payne & Andrea Mervar, 2002. "A Note on Modelling Tourism Revenues in Croatia," Tourism Economics, , vol. 8(1), pages 103-109, March.
    3. Paresh Kumar Narayan, 2011. "Are shocks to tourism transitory at business cycle horizons?," Applied Economics, Taylor & Francis Journals, vol. 43(16), pages 2071-2077.
    4. Chien-Ming Wang & Su-Lan Pan & Alastair M. Morrison & Tsung-Pao Wu, 2022. "The dynamic linkages among outbound tourism, economic growth, and international trade: empirical evidence from China," SN Business & Economics, Springer, vol. 2(11), pages 1-18, November.
    5. Paresh Kumar Narayan, 2004. "Fiji's Tourism Demand: The ARDL Approach to Cointegration," Tourism Economics, , vol. 10(2), pages 193-206, June.
    6. Luis A. Gil-Alana & Juncal Cunado & Fernando Perez de Gracia, 2008. "Tourism in the Canary Islands: forecasting using several seasonal time series models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(7), pages 621-636.
    7. C. Petropoulos & K. Nikolopoulos & A. Patelis & V. Assimakopoulos, 2005. "A technical analysis approach to tourism demand forecasting," Applied Economics Letters, Taylor & Francis Journals, vol. 12(6), pages 327-333.
    8. Saroja Selvanathan & Maneka Jayasinghe & Eliyathamby A. Selvanathan, 2023. "Deteriorating Australia-China relations and prospects for the Australian tourism industry: A dynamic demand analysis," Tourism Economics, , vol. 29(8), pages 2012-2031, December.
    9. Nada Kulendran & Sarath Divisekera, 2007. "Measuring the Economic Impact of Australian Tourism Marketing Expenditure," Tourism Economics, , vol. 13(2), pages 261-274, June.
    10. William Veloce, 2004. "Forecasting Inbound Canadian Tourism: An Evaluation of Error Corrections Model Forecasts," Tourism Economics, , vol. 10(3), pages 263-280, September.
    11. Chukiat CHAIBOONSRI & Prasert CHAITIP, 2012. "Trends and Perspectives Regarding the Evolution of the Concept of Economic Intelligence within the Context of the Economic Crisis," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 2(2), pages 1-7, April.
    12. Pham, Tien Duc & Nghiem, Son & Dwyer, Larry, 2017. "The determinants of Chinese visitors to Australia: A dynamic demand analysis," Tourism Management, Elsevier, vol. 63(C), pages 268-276.
    13. Juncal Cuñado & Alberiko Gil-Alana, Luis & Perez De Gracia, Fernando, 2011. "Modelling International Monthly Tourist in Spain/Modelización de llegadas mensuales de turistas a España," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 29, pages 723-736, Diciembre.
    14. Burcu Kiran, 2010. "The Structure of Tourism Revenues in Turkey: Evidence from Fractional Integration under Multiple Structural Breaks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 85-96.
    15. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    16. Luis Alberiko Gil-Alaña, 2010. "Tourism in South Africa. Time series persistence and the nature of shocks. Are they transitory or permament?," NCID Working Papers 06/2011, Navarra Center for International Development, University of Navarra.
    17. Smiljana Pivčević & Zvonimir Kuliš & Neven Šerić, 2016. "The pull factors of tourism demand: a panel data analysis for Latin American and Carribean countries," Tourism and Hospitality Industry 24, University of Rijeka, Faculty of Tourism and Hospitality Management.
    18. George Athanasopoulos & Rob J. Hyndman, 2006. "Modelling and forecasting Australian domestic tourism," Monash Econometrics and Business Statistics Working Papers 19/06, Monash University, Department of Econometrics and Business Statistics.
    19. Gunter, Ulrich & Önder, Irem, 2015. "Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data," Tourism Management, Elsevier, vol. 46(C), pages 123-135.
    20. Prommer, Lisa & Tiberius, Victor & Kraus, Sascha, 2020. "Exploring the future of startup leadership development," Journal of Business Venturing Insights, Elsevier, vol. 14(C).

    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:hal:journl:hal-02544954. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.