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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

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    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.
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    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.

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    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

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