La modelización de la demanda de turismo de economías emergentesel caso de la llegada de turistas rusos a España

  1. Alvarez Díaz, Marcos 1
  2. González Gómez, Manuel 1
  3. Otero Giráldez, María Soledad 1
  1. 1 Universidade de Vigo
    info

    Universidade de Vigo

    Vigo, España

    ROR https://ror.org/05rdf8595

Revista:
Cuadernos de economía: Spanish Journal of Economics and Finance

ISSN: 2340-6704 0210-0266

Ano de publicación: 2016

Volume: 39

Número: 110

Páxinas: 112-125

Tipo: Artigo

DOI: 10.1016/J.CESJEF.2015.10.001 DIALNET GOOGLE SCHOLAR lock_openBiblos-e Archivo editor

Outras publicacións en: Cuadernos de economía: Spanish Journal of Economics and Finance

Resumo

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 centrado 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: a) conocer las variables más importantes que expliquen la demanda de turistas rusos a España, y b) 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

Referencias bibliográficas

  • Álvarez-Díaz M., Caballero G., Manzano B. y Martín-Moreno J., 2015c. Assessment of Political Situation over the Business Cycle in Spain: A Time Series Approach, Hacienda Pública Española /Review of Public Economics, 213-(2 / 2015), 41-62.
  • Álvarez-Díaz, M., González-Gómez, M., Otero-Giráldez, M., Estimating Price and Income Demand Elasticities to Spain Separately by The Major Source Markets. Tourism Economics 21 (2015), 1103–1110.
  • Álvarez-Díaz, M., González-Gómez, M., Otero-Giráldez, M., Trigo-Iglesias, A.B., Modelización Econométrica de la Demanda de Turistas Británicos a España. Revista de Economía Aplicada. Próxima publicación, 2015.
  • Otero-Giráldez, M., Álvarez-Díaz, M., González-Gómez, M., Estimating the Long-run Effects of Socio-economic and Meteorological Factors on the Domestic Tourism Demand for Galicia (Spain). Tourism Management. 33 (2012), 1301–1308.
  • Ahking, F.W., Model mis-specification and Johansen's co-integration analysis: An application to the US money demand. Journal of Macroeconomics 24 (2002), 51–66.
  • Athanasopoulos, G., Hyndman, R.J., Modelling and forecasting Australian domestic tourism. Tourism Management. 29 (2008), 19–31.
  • Balaguer, J., Cantavella-Jorda, M., Tourism as a long-run economic growth factor: The Spanish case. Applied Economics. 34 (2002), 877–884.
  • Banco Mundial, 2015. Global Economic Prospect 2015, World Bank Group, International Bank for Reconstruction and Development/The World Bank.
  • Bhargava, A., On the theory of testing for unit roots in observed time series. The Review of Economic Studies. 53 (1986), 369–384.
  • Burke, S.P., Hunter, J., Modelling Non-Stationary Economic Time Series: A Multivariate Approach. 2005, Palgrave, Basingstoke.
  • Cheung, Y.W., Lai, K., A fractional cointegration analysis of purchasing power parity. Journal of Business & Economic Statistics. 11 (1993), 103–112.
  • Chu, F.-L., Forecasting tourism demand: A cubic polynomial approach. Tourism Management. 25 (2004), 209–218.
  • Crouch, G.I., The study of international tourism demand: A review of findings. Journal of Travel Research. 33 (1994), 12–23.
  • De Mello, M.M., Pack, A., Sinclair, M.T., A system of equations model of UK tourism demand in neighbouring countries. Applied Economics. 34 (2002), 509–521.
  • Divisekera, S., A model of demand for international tourism. Annals of Tourism Research. 30 (2003), 31–49.
  • Dritsakis, N., Cointegration analysis of German and British tourism demand for Greece. Tourism Management. 25 (2004), 111–119.
  • Dwyer, L., Forsyth, P., Dwyer, W., Tourism Economics and Policy. Aspects of Tourism Texts. 2010, Channel Views Publications, Bristol UK.
  • Efron, B., Tibshirani, R., An Introduction to the Bootstrap. 1998, Chapman & Hall/CRC, Boca Raton, Fla.
  • Elliott, G., Rothenberg, T.J., Stock, J.H., Efficient tests for an autoregressive unit root. Econometrica. 64 (1996), 813–836.
  • Energy Information Administration (2015). Report on International Energy Data and Analysis, July 2015.
  • Engle, R.F., Granger, C.W.J., Cointegration and error correction: Representation, estimation and testing. Econometrica. 55 (1987), 251–276.
  • EXCELTUR, 2015. Perspectivas turísticas. Valoración empresarial del año 2014 y perspectivas para el 2015, N.° 51, Enero 2015.
  • Forsyth P., Dwyer L., 2009. Tourism price competitiveness, the travel & tourism competitiveness report 2009, World Economic Forum.
  • Frankel, J., Schmukler, S.L., Servén, L., Global transmission of interest rates: Monetary independence and currency regime. Journal of International Money and Finance 23 (2004), 701–733.
  • Frechtling, D., Forecasting Tourism Demand: Methods and Strategies. 2001, Elsevier, Oxford.
  • Garín-Muñoz, T., Madrid as a tourist destination: Analysis and modelization of inbound tourism. International Journal of Tourism Research 6 (2004), 289–302.
  • Garín-Muñoz, T., Inbound international tourism to Canary Islands: A dynamic panel data model. Tourism Magament 27 (2006), 281–291.
  • Garín-Muñoz, T., German demand for tourism in Spain. Tourism Management. 28 (2007), 12–22.
  • Garín-Muñoz, T., Tourism in Galicia: Domestic and foreign demand. Tourism Economics 15 (2009), 753–769.
  • Garín-Muñoz, T., La demanda de turismo británico en España. Boletín Económico del ICE. 3010 (2011), 49–62.
  • Garín-Muñoz, T., Perez-Amaral, T., An econometric model for international tourism flows to Spain. Applied Economics. 7 (2000), 525–529.
  • Garín-Muñoz, T., Montero-Martín, L.F., Tourism in the Balearic Islands: A dynamic model for international demand using panel data. Tourism Management 28 (2007), 1224–1235.
  • Gómez Loscos, A., González, M.J., La evolución reciente del turismo no residente en España. Boletín Económico 2014 (2014), 67–74.
  • González, P., Moral, P., An analysis of the international tourism demand in Spain. International Journal of Forecasting. 11 (1995), 233–251.
  • Granger, C.W.J., Newbold, P., Spurious regressions in econometrics. Journal of Econometrics. 2 (1974), 111–120.
  • Granger, C.W.J., Huang, B., Yang, C., A bivariate causality between stock prices and exchange rates: Evidence from recent Asian Flu. The Quarterly Review of Economics and Finance. 40 (2000), 337–354.
  • Greene, W.H., Econometric Analysis. 5th edition., 2003, Upper Saddle River, NJ, Prentice Hall.
  • Hendry, D.F., Dynamic Econometrics: Advanced Text in Econometrics. 1995, Oxford University Press, Oxford, UK.
  • Hylleberg, S., Engle, R.F., Granger, C.W.J., Yoo, B.S., Seasonal integration and cointegration. Journal of Econometrics 44 (1990), 215–238.
  • Instituto de Estudios Turísticos (IET), 2013. Balance del Turismo. Año 2012. Resultados de la Actividad Turística en España. Instituto de Estudios Turísticos, Ministerio de Industria, Energía y Turismo, Gobierno de España. Abril de 2013.
  • Johansen, S., Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control 12 (1988), 231–254.
  • Johansen, S., Juselius, K., Maximun likelihood estimation and inference on cointegration with applicationes to the demand for money. Oxford Bulletin of Economics and Statistics. 52 (1990), 169–210.
  • Kremers, J.J., Ericson, N.R., Dolado, J.J., The power of cointegration tests. Oxford Bulletin of Economics and Statistics 54 (1992), 325–347.
  • Kulendran, N., Witt, S.F., Cointegration versus least squares regression. Annals of Tourism Research 28 (2001), 291–311.
  • Ledesma-Rodríguez, F.J., Navarro-Ibanez, M., Pérez-Rodríguez, J.V., Panel data and tourism: A case study of Tenerife. Tourism Economics 7 (2001), 75–88.
  • Li, H., Maddala, G.S., Bootstrap variance estimation of non-linear functions of parameters: An application to long-run elasticities of energy demand. The Review of Economics and Statistics. 81 (1999), 728–733.
  • Lim, C., McAleer, M., Cointegration analysis of quarterly tourism demand by Hong Kong and Singapore for Australia. Applied Economics. 33 (2001), 1599–1619.
  • Lim, C., McAleer, M., Monthly seasonal variations: Asian tourism to Australia. Annals of Tourism Research. 28 (2001), 68–82.
  • Lise, W., Tol, R.S.J., Impact of climate on tourism demand. Climatic Change 55 (2002), 429–449.
  • Macías-Aymar I., de Pedro N., Pérez F.A., 2012. La dimensión económica de la política de visados de España, en Sánchez-Montijano E, Vaquer-i-Fanés J. y Villup E. IILUP (eds.) La política de visados para el siglo XXI: más allá de la cola del visado, CIDOB Publicaciones.
  • MacKinnon, J.G., Haug, A.A., Michelis, L., Numerical distribution functions of likelihood ratio tests for cointegration. Journal of Appied Econometrics. 14 (1999), 563–577.
  • Ng, S., Perron, P., Lag length selection and the construction of unit root tests with good size and power. Econometrica. 69 (2001), 1519–1554.
  • Organización Mundial del Turismo. Panorama OMT del turismo internacional. 2014.
  • Organización Mundial del Turismo. Visa Openness Report, Visa Facilitation as Means to Stimulate Tourism Growth. 2013, UNWTO, Madrid.
  • Pesaran, M., Shin, Y., Smith, R., Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics. 16 (2001), 289–326.
  • Pesaran, M.H., Persaran, B., Working with Microfit 4.0: Interactive Econometric Analysis. 1997, Oxford University Press, Oxford.
  • Phillips, P.C.B., Time series regression with a unit root. Econometrica 55 (1987), 277–301.
  • Phillips, P.C.B., Perron, P., Testing for a unit root in time series regression. Biometrika. 75 (1988), 335–346.
  • Rosselló, J., Aguiló, E., Riera, A., Modeling tourism demand dynamics. Journal of Travel Research 44 (2005), 111–116.
  • Shambaugh, J.C., The effect of fixed exchange rates on monetary policy. The Quaterly Journal of Economics 119 (2004), 301–352.
  • Sheldon, P., Forecasting tourism: Expenditure versus arrivals. Journal of Travel Research. 32 (1993), 13–20.
  • Song, H., Kim, J., Yang, S., Confidence intervals for tourism demand elasticity. Annals of Tourism Research 37 (2010), 377–396.
  • Song, H., Li, G., tourism demand modelling and forecasting — A review of recent research. Tourism Management. 29 (2008), 203–220.
  • Song, H., Witt, S.F., Tourism Demand Modelling and Forecasting: Modern Econometric Approaches. 2000, Pergamon, Oxford.
  • Song, H., Witt, S., Li, G., The Advanced Econometrics of Tourism Demand. 2009, Routledge, New York.
  • Williams, A., Shaw, G., Tourism and Development: Introduction. Williams, A., Shaw, G., (eds.) Tourism and Economic Development: Western European Experiences, 2nd ed., 1991, Belhaven Press, London.
  • Witt, S.F., Martin, C.A., Deriving a relative price index for inclusion in international tourism demand estimation models: Comment. Journal of Travel Research. 25 (1987), 38–40.
  • Wooldridge, J.M., Introductory Econometrics: A Modern Approach. 5th edition, 2012, South-Western CENGAGE Learning, Mason, OH.