IDEAS home Printed from https://ideas.repec.org/p/vig/wpaper/1503.html
   My bibliography  Save this paper

La Modelización de la Demanda de Turismo de Economías Emergentes: El caso de la Llegada de Turistas Rusos a España

Author

Listed:
  • Marcos Alvarez-Díaz
  • Mª Soledad Otero-Giraldez
  • Manuel González-Gómez

Abstract

El turismo internacional se ha convertido en uno de los principales sectores económicos en España. Sin embargo, a pesar de esta importancia, no hay muchos estudios que hayan analizado los determinantes de la demanda internacional a España. Los pocos estudios existentes se han centrando en el análisis de visitantes alemanes y británicos, obviando otras nacionalidades importantes y emergentes como la rusa. Rusia es uno de los principales mercados emisores de turismo a nivel mundial. El dinamismo mostrado por este mercado revela una elevada potencialidad y supone una gran oportunidad para que el sector turístico español aumente su participación en el mercado del turismo internacional. Es por esta razón que el principal objetivo de nuestra investigación es (i) conocer las variables más importantes que expliquen la demanda de turistas rusos a España, y (ii) cuantificar los impactos de estas variables en base a un modelo econométrico robusto. Los resultados obtenidos muestran la importancia de los factores económicos como la renta de los rusos, la de los costes relativos de la vida en España respecto a Rusia y los costes relativos de la vida en España respecto a una serie de países competidores por atraer el turismo ruso. También se pone de manifiesto la importancia de ciertos eventos puntuales como pueden ser los atentados de ETA y del 11-M, las revueltas en algunos países árabes de la cuenca mediterránea y el cambio en la política de visados entre la Unión Europea y Rusia. International Tourism is one of the most important economic sectors for the Spanish economy. However, in spite of this importance, there are not many studies that have identified the main determinants of demand for international tourism to Spain. The few existing studies are focused on the analysis of British and German visitors, without paying attention to other important and emerging nationalities like Russians. Russia is one of the main outbound tourism markets worldwide. The dynamism showed by this market reveals a high potential, and involves a great opportunity for the Spanish tourism sector to increase its participation in the international tourism market. It is for this reason that the main objective of our research is to build a robust econometric model that allows us (i) to know the most important variables that explain the Russian demand for tourism to Spain and (ii) to quantify the impacts of these variables on this tourism demand. Our results show the importance of economic factors such as the income of Russians, the relative cost of living in Spain with respect to Russia, and the relative cost of living in Spain with respect to other competing countries to attract Russian visitors. Our results also show the importance of certain specific events such as the terrorist attacks of ETA and the 11-M, the riots in some Arab countries of the Mediterranean basin, and the change in the visa policy between the European Union and Russia.

Suggested Citation

  • Marcos Alvarez-Díaz & Mª Soledad Otero-Giraldez & Manuel González-Gómez, 2015. "La Modelización de la Demanda de Turismo de Economías Emergentes: El caso de la Llegada de Turistas Rusos a España," Working Papers 1503, Universidade de Vigo, Departamento de Economía Aplicada.
    • Handle: RePEc:vig:wpaper:1503
    as

    Download full text from publisher

    File URL: https://webx06.webs8.uvigo.es/wp-content/uploads/2023/11/wp1503.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    2. Frankel, Jeffrey & Schmukler, Sergio L. & Serven, Luis, 2004. "Global transmission of interest rates: monetary independence and currency regime," Journal of International Money and Finance, Elsevier, vol. 23(5), pages 701-733, September.
    3. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    4. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    5. Gonzalez, Pilar & Moral, Paz, 1995. "An analysis of the international tourism demand in Spain," International Journal of Forecasting, Elsevier, vol. 11(2), pages 233-251, June.
    6. 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.
    7. Jacint Balaguer & Manuel Cantavella-Jorda, 2002. "Tourism as a long-run economic growth factor: the Spanish case," Applied Economics, Taylor & Francis Journals, vol. 34(7), pages 877-884.
    8. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    9. Teresa Garin-Munoz & Teodosio Perez Amaral, 2000. "An econometric model for international tourism flows to Spain," Applied Economics Letters, Taylor & Francis Journals, vol. 7(8), pages 525-529.
    10. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    11. Christine Lim & Michael McAleer, 2001. "Cointegration analysis of quarterly tourism demand by Hong Kong and Singapore for Australia," Applied Economics, Taylor & Francis Journals, vol. 33(12), pages 1599-1619.
    12. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    13. Marcos Alvarez Diaz & Gonzalo Caballero Miguez & Baltasar Manzano González & José M. Martín Moreno, 2015. "Assessment of Political Situation over the Business Cycle in Spain: A Time Series Analysis," Hacienda Pública Española / Review of Public Economics, IEF, vol. 213(2), pages 41-62, June.
    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. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    2. Perles-Ribes, José Francisco & Ramón-Rodríguez, Ana Belén & Rubia, Antonio & Moreno-Izquierdo, Luis, 2017. "Is the tourism-led growth hypothesis valid after the global economic and financial crisis? The case of Spain 1957–2014," Tourism Management, Elsevier, vol. 61(C), pages 96-109.
    3. Nela Vlahinic & Pavle Jakovac, 2014. "Revisiting the Energy Consumption-Growth Nexus for Croatia: New Evidence from a Multivariate Framework Analysis," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(4), December.
    4. Otero-Giráldez, María Soledad & Álvarez-Díaz, Marcos & González-Gómez, Manuel, 2012. "Estimating the long-run effects of socioeconomic and meteorological factors on the domestic tourism demand for Galicia (Spain)," Tourism Management, Elsevier, vol. 33(6), pages 1301-1308.
    5. Lei Pan & Svetlana Maslyuk-Escobedo & Vinod Mishra, 2019. "Carry Trade Returns and Commodity Prices under Capital and Interest Rate Controls: Empirical Evidence from China," Monash Economics Working Papers 16-18, Monash University, Department of Economics.
    6. R. Santos Alimi, 2014. "ARDL Bounds Testing Approach to Cointegration: A Re-Examination of Augmented Fisher Hypothesis in an Open Economy," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 2(2), pages 103-114, June.
    7. Isabel Cortés-Jiménez & Manuel Artís, 2005. "The role of the tourism sector in economic development - Lessons from the Spanish experience," ERSA conference papers ersa05p488, European Regional Science Association.
    8. Diamandis, Panayiotis F., 2009. "International stock market linkages: Evidence from Latin America," Global Finance Journal, Elsevier, vol. 20(1), pages 13-30.
    9. Muhammad, Shahbaz & Lean, Hooi Hooi & Muhammad, Shahbaz Shabbir, 2011. "Environmental Kuznets Curve and the role of energy consumption in Pakistan," MPRA Paper 34929, University Library of Munich, Germany, revised 22 Nov 2011.
    10. Shahbaz, Muhammad & Hye, Qazi Muhammad Adnan & Tiwari, Aviral Kumar & Leitão, Nuno Carlos, 2013. "Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 109-121.
    11. Tiwari, Aviral Kumar & Shahbaz, Muhammad, 2010. "Does financial development increase rural-urban income inequality? Cointegration analysis in the case of Indian economy," MPRA Paper 27093, University Library of Munich, Germany.
    12. Álvarez-Díaz, Marcos & González-Gómez, Manuel & Otero-Giráldez, María Soledad, 2018. "Main determinants of export-oriented bleached eucalyptus kraft pulp (BEKP) demand from the north-western regions of Spain," Forest Policy and Economics, Elsevier, vol. 96(C), pages 112-119.
    13. 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.
    14. Shahbaz, Muhammad & Jalil, Abdul & Islam, Faridul, 2010. "Real Exchange Rate Changes and Trade Balance in Pakistan: A Revisit," MPRA Paper 27631, University Library of Munich, Germany.
    15. Maurice Obstfeld & Jay C. Shambaugh & Alan M. Taylor, 2004. "Monetary Sovereignty, Exchange Rates, and Capital Controls: The Trilemma in the Interwar Period," IMF Staff Papers, Palgrave Macmillan, vol. 51(s1), pages 75-108, June.
    16. Mehmet Balcilar & Evrim Toren, 2021. "The Time-Varying Effect of Asset Prices on Turkey’s Circular Economy," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    17. Shahbaz, Muhammad & Shabbir, Muhammad Shahbaz & Malik, Muhammad Nasir & Wolters, Mark Edward, 2013. "An analysis of a causal relationship between economic growth and terrorism in Pakistan," Economic Modelling, Elsevier, vol. 35(C), pages 21-29.
    18. Ibhagui, Oyakhilome W., 2020. "The Economic Performance Effects of Capital Flows in OPEC Member Countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 67-83.
    19. Shahbaz, Muhammad, 2012. "Does trade openness affect long run growth? Cointegration, causality and forecast error variance decomposition tests for Pakistan," Economic Modelling, Elsevier, vol. 29(6), pages 2325-2339.
    20. Chien-Chiang Lee & Chun-Ping Chang, 2006. "The Long-Run Relationship Between Defence Expenditures And Gdp In Taiwan," Defence and Peace Economics, Taylor & Francis Journals, vol. 17(4), pages 361-385.

    More about this item

    Keywords

    Tourism demand; cointegration; elasticities; bootstrapping;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:vig:wpaper:1503. 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: Departamento de Economía Aplicada (email available below). General contact details of provider: https://edirc.repec.org/data/deviges.html .

    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.