IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0013.html
   My bibliography  Save this article

Econometric analysis of the demand for the incoming tourism in Russia

Author

Listed:
  • Bednova, Maria

    (company TNS)

  • Ratnikova, Tatiana

    (State Research University – High School of Economics, Russia)

Abstract

In this work the demand for the incoming tourism in the Russian Federation is modeling. The panel data for 16 countries — the basic sources of tourist streams — and the period with 2000 for 2009 are used. Modeling is spent separately for each of 10 tourist zones of Russia. In quality a determinant of demand there are considered a total national product in a country of origin, the exchange rate, transport charges, cost of residing, lag of the demand variable and the dummy variables reflecting influence of shocks in quality a determinants of demand. The received estimations of dynamic models of demand correspond to expectations, are statistically significant and can be useful in practice of planning of development of entrance tourism in various municipal formations and regions of Russia.

Suggested Citation

  • Bednova, Maria & Ratnikova, Tatiana, 2011. "Econometric analysis of the demand for the incoming tourism in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 21(1), pages 97-113.
    • Handle: RePEc:ris:apltrx:0013
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2011_1_97-113.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christine Lim, 1997. "An Econometric Classification and Review of International Tourism Demand Models," Tourism Economics, , vol. 3(1), pages 69-81, March.
    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. Aistov, Andrey & Nikolaeva, Tatiana, 2019. "Tourism-led growth hypothesis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 5-24.
    2. E. K. Vorobey, 2021. "The Impact of State Support Measures on the Sphere of Recreation and Tourism of the Region," Studies on Russian Economic Development, Springer, vol. 32(6), pages 640-647, November.

    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. Abdo KATAYA, 2021. "The Impact of Covid-19 Pandemic on International and Lebanese Tourism Indicators," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 5-13.
    2. Allison Zhou & Carl Bonham & Byron Gangnes, 2007. "Modeling the supply and demand for tourism: a fully identified VECM approach," Working Papers 200717, University of Hawaii at Manoa, Department of Economics.
    3. Carolyn Chisadza & Matthew Clance & Rangan Gupta & Peter Wanke, 2022. "Uncertainty and tourism in Africa," Tourism Economics, , vol. 28(4), pages 964-978, June.
    4. Giovanni De Luca & Monica Rosciano, 2020. "Quantile Dependence in Tourism Demand Time Series: Evidence in the Southern Italy Market," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    5. 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.
    6. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2008. "A Panel Unit Root and Panel Cointegration Test of the Modeling International Tourism Demand in India," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 8(1), pages 95-124.
    7. Paresh Kumar Narayan, 2004. "Fiji's Tourism Demand: The ARDL Approach to Cointegration," Tourism Economics, , vol. 10(2), pages 193-206, June.
    8. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2009. "Modelling International Tourism Demand in Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 9(3), pages 125-146.
    9. Yang, Chih-Hai & Lin, Hui-Lin & Han, Chia-Chun, 2010. "Analysis of international tourist arrivals in China: The role of World Heritage Sites," Tourism Management, Elsevier, vol. 31(6), pages 827-837.
    10. António Gomes de Menezes & Ana Moniz & José Cabral Vieira, 2008. "The Determinants of Length of Stay of Tourists in the Azores," Tourism Economics, , vol. 14(1), pages 205-222, March.
    11. Zhou Lu & Haiwei Li & Chi Keung Marco Lau & Aliyu Buhari Isah, 2021. "Preferences and Tourism Development under Uncertainty: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-9, February.
    12. Jaume Rosselló Nadal & María Santana Gallego, 2022. "Gravity models for tourism demand modeling: Empirical review and outlook," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1358-1409, December.
    13. 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.
    14. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
    15. Davide Provenzano, 2020. "The migration–tourism nexus in the EU28," Tourism Economics, , vol. 26(8), pages 1374-1393, December.
    16. Blanka Škrabić Perić & Blanka Šimundić & Vinko Muštra & Marijana Vugdelija, 2021. "The Role of UNESCO Cultural Heritage and Cultural Sector in Tourism Development: The Case of EU Countries," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    17. William Addessi & Bianca Biagi & Maria Giovanna Brandano, 2019. "Evaluating the effect of the introduction of the euro on tourist flows: A synthetic control approach," The World Economy, Wiley Blackwell, vol. 42(5), pages 1554-1575, May.
    18. Lucie Plzáková & Egon Smeral, 2022. "Impact of the COVID-19 crisis on European tourism," Tourism Economics, , vol. 28(1), pages 91-109, February.
    19. 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.
    20. Wang, Qi & Lu, Shaokai, 2022. "The influence of hybrid accessibility on tourism economy in prefecture-level cities: Evidence from China's high-speed rail network," Journal of Transport Geography, Elsevier, vol. 104(C).

    More about this item

    Keywords

    demand for incoming tourism; tourist zones; tourist streams; dynamic model; panel data;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

    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:ris:apltrx:0013. 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: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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.