IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v18y2012i5p915-930.html
   My bibliography  Save this article

Forecasting Tourism Demand: The Role of Seasonality

Author

Listed:
  • Anna Serena Vergori

    (University of Salento, via per Monteroni, 73100 Lecce, Italy)

Abstract

Most tourism destinations are affected by seasonality. Seasonal demand causes various problems for local firms and administrations hampering the efficient use of available facilities and the development of local capabilities. This paper discusses, from an econometric point of view, another important issue stemming from strong seasonality: the effect on forecasting tourist flows. This aspect of seasonality is addressed through an analysis of tourist arrivals in the Province of Lecce, southern Italy.

Suggested Citation

  • Anna Serena Vergori, 2012. "Forecasting Tourism Demand: The Role of Seasonality," Tourism Economics, , vol. 18(5), pages 915-930, October.
    • Handle: RePEc:sae:toueco:v:18:y:2012:i:5:p:915-930
    DOI: 10.5367/te.2012.0153
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5367/te.2012.0153
    Download Restriction: no
    File URL: https://libkey.io/10.5367/te.2012.0153?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. Paulo Rodrigues & Denise Osborn, 1999. "Performance of seasonal unit root tests for monthly data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(8), pages 985-1004.
    2. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107.
    3. Clements, Michael P. & Hendry, David F., 1997. "An empirical study of seasonal unit roots in forecasting," International Journal of Forecasting, Elsevier, vol. 13(3), pages 341-355, September.
    4. Christine Lim & Michael McAleer, 2000. "A seasonal analysis of Asian tourist arrivals to Australia," Applied Economics, Taylor & Francis Journals, vol. 32(4), pages 499-509.
    5. Philip Hans Franses & Bart Hobijn, 1997. "Critical values for unit root tests in seasonal time series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(1), pages 25-48.
    6. Nils Karl Sorensen, 2001. "Modelling the seasonality of hotel nights in Denmark by county and nationality," ERSA conference papers ersa01p159, European Regional Science Association.
    7. Konstantinos Andriotis, 2005. "Seasonality in Crete: Problem or a Way of Life?," Tourism Economics, , vol. 11(2), pages 207-224, June.
    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. Zamparini, Luca & Vergori, Anna Serena, 2021. "Sustainable mobility at tourist destinations: The relevance of habits and the role of policies," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Frédéric Dobruszkes & Jean-Michel Decroly & Pere Suau-Sanchez, 2022. "The monthly rhythms of aviation: A global analysis of passenger air service seasonality," ULB Institutional Repository 2013/341140, ULB -- Universite Libre de Bruxelles.
    3. Keerti Manisha & Inderpal Singh, 2024. "Forecasting of Indian and foreign tourist arrivals to Himachal Pradesh using Decomposition, Box–Jenkins, and Holt–Winters exponential smoothing methods," Asia-Pacific Journal of Regional Science, Springer, vol. 8(3), pages 879-909, September.
    4. Anna Serena Vergori, 2017. "Patterns of seasonality and tourism demand forecasting," Tourism Economics, , vol. 23(5), pages 1011-1027, August.
    5. Cengiz Koç & Yıldırım Bayazıt & Selami Yurdan Özgül, 2023. "Impact of tourists on urban water needs in Marmaris, Türkiye," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8837-8855, August.
    6. Jorge Ridderstaat & Peter Nijkamp, 2013. "Measuring Pattern, Amplitude and Timing Differences between Monetary and Non-Monetary Seasonal Factors of Tourism - the Case of Aruba," Tinbergen Institute Discussion Papers 13-116/VIII, Tinbergen Institute, revised 05 Sep 2013.
    7. Liang Zhu & Christine Lim & Wenjun Xie & Yuan Wu, 2017. "Analysis of tourism demand serial dependence structure for forecasting," Tourism Economics, , vol. 23(7), pages 1419-1436, November.
    8. Rosselló, Jaume & Sansó, Andreu, 2017. "Yearly, monthly and weekly seasonality of tourism demand: A decomposition analysis," Tourism Management, Elsevier, vol. 60(C), pages 379-389.

    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. Pami Dua & Lokendra Kumawat, 2005. "Modelling and Forecasting Seasonality in Indian Macroeconomic Time Series," Working papers 136, Centre for Development Economics, Delhi School of Economics.
    2. repec:ebl:ecbull:v:30:y:2010:i:1:p:577-586 is not listed on IDEAS
    3. Amitrajeet A Batabyal & Hamid Beladi, 2010. "A stochastic model of the provision of guided tours to tourists," Economics Bulletin, AccessEcon, vol. 30(1), pages 577-586.
    4. Paulo Rodrigues & Denise Osborn, 1999. "Performance of seasonal unit root tests for monthly data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(8), pages 985-1004.
    5. Artur Silva Lopes, 2006. "Deterministic seasonality in Dickey–Fuller tests: should we care?," Empirical Economics, Springer, vol. 31(1), pages 165-182, March.
    6. Cuccia, Tiziana & Rizzo, Ilde, 2011. "Tourism seasonality in cultural destinations: Empirical evidence from Sicily," Tourism Management, Elsevier, vol. 32(3), pages 589-595.
    7. Gabriel Pons Rotger, 2004. "Seasonal Unit Root Testing Based on the Temporal Aggregation of Seasonal Cycles," Economics Working Papers 2004-1, Department of Economics and Business Economics, Aarhus University.
    8. Cook, S., 1996. "Econometric methodology I," Discussion Paper Series In Economics And Econometrics 9618, Economics Division, School of Social Sciences, University of Southampton.
    9. Anna Serena Vergori, 2017. "Patterns of seasonality and tourism demand forecasting," Tourism Economics, , vol. 23(5), pages 1011-1027, August.
    10. Qizilbash, M., 1994. "Bribery, efficiency wages and political protection," Discussion Paper Series In Economics And Econometrics 9418, Economics Division, School of Social Sciences, University of Southampton.
    11. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911, January.
    12. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, October.
    13. Chia-Lin Chang & Thanchanok Khamkaew & Roengchai Tansuchat & Michael McAleer, 2011. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," Tourism Economics, , vol. 17(3), pages 481-507, June.
    14. Ulph, A., 1997. "Political institutions and the design of environmental policy in a federal system with asymmetric information," Discussion Paper Series In Economics And Econometrics 9718, Economics Division, School of Social Sciences, University of Southampton.
    15. Méndez Parra, Maximiliano, 2015. "Futures prices, trade and domestic supply of agricultural commodities," Economics PhD Theses 0115, Department of Economics, University of Sussex Business School.
    16. Aldrich, J., 1992. "Haavelmo's Identification Theory," Discussion Paper Series In Economics And Econometrics 9218, Economics Division, School of Social Sciences, University of Southampton.
    17. Ulph, A., 1993. "Environmental policy and international trade when governments and producers act strategically," Discussion Paper Series In Economics And Econometrics 9318, Economics Division, School of Social Sciences, University of Southampton.
    18. Batabyal, Amitrajeet A. & Beladi, Hamid, 2011. "An alternate approach to modeling the slack season provision of guided tours to tourists," Tourism Management, Elsevier, vol. 32(5), pages 1047-1049.
    19. Hendry, D.F. & Mizon, G.E., 1999. "On selecting policy analysis models by forecast accuracy," Discussion Paper Series In Economics And Econometrics 9918, Economics Division, School of Social Sciences, University of Southampton.
    20. Denise Osborn & Paulo Rodrigues, 2002. "Asymptotic Distributions Of Seasonal Unit Root Tests: A Unifying Approach," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 221-241.
    21. Akarapong Untong & Vicente Ramos & Mingsarn Kaosa-Ard & Javier Rey-Maquieira, 2014. "Thailand's Long-Run Tourism Demand Elasticities," Tourism Economics, , vol. 20(3), pages 595-610, June.

    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:18:y:2012:i:5:p:915-930. 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: 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.