Tourism demand from Europe to Mexico, 2005-2018: A cointegration analysis

  • José César Lenin Navarro-Chávez
  • Mario Gómez
  • René Augusto Marín-Leyva
Palabras clave: tourism demand, panel data, cross section dependence, panel cointegration, causality

Resumen

This paper analyzes tourism demand in the countries of Europe for Mexico from 2005 to 2018. Unit root and cointegration tests in panel data are applied. Results indicate that there is presence of unit roots in the variables. A long-term equilibrium relationship was found among tourism demand, real exchange rate, and income, and also there are bidirectional causality relationships between these variables. The positive relationship among the variables implies that a depreciation of the domestic currency and a higher level of income of the releasing countries would generate greater tourism demand in Mexico.

Citas

Baltagi, B. H. (2005). Econometric analysis of panel data. John Wiley & Sons, Ltd. (3rd ed). John Wiley & Sons, Ltd.
Chou, M. C. (2013). Does tourism development promote economic growth in transition countries? A panel data analysis. Economic Modelling, 33, 226–232. https://doi.org/10.1016/j.econmod.2013.04.024
Dogru, T., Sirakaya-Turk, E., & Crouch, G. I. (2017). Remodeling international tourism demand: Old theory and new evidence. Tourism Management, 60, 47–55. https://doi.org/10.1016/J.TOURMAN.2016.11.010
Ekanayake, E. M., & Long, A. E. (20 12). Tourism Development and Economic Growth in Developing Countries. The International Journal of Business and Finance Research, 6(1), 51–63.
Falk, M. (2015). The sensitivity of tourism demand to exchange rate changes: an application to Swiss overnight stays in Austrian mountain villages during the winter season. Current Issues in Tourism, 18(5), 465–476. https://doi.org/10.1080/13683500.2013.810610
Fletcher, J., Fyall, A., Ilbert, D., & Wanhill, S. (2017). Tourism: Principles and Practice. Harlow: Pearson.
Frechtling, D. (2011). Forecasting tourism demand. Economics of Tourism Destinations. New York: Routledge. https://doi.org/10.1016/B978-0-7506-6637-4.50010-7
Granger, C. W. J. (1988). Some recent development in a concept of causality. Journal of Econometrics, 39(1–2), 199–211. https://doi.org/10.1016/0304-
4076(88)90045-0
Hazera Akter; Shoaib Akhtar; Samina Ali. (2017). Tourism Demand in Bangladesh: Gravity Model Analysis. Tourism, 65(3), 346–360.
Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. https://doi.
org/10.1016/S0304-4076(03)00092-7
Karimi, A., Faroughi, P., & Rahim, K. A. (2015). Modeling and forecasting of international tourism demand in ASEAN countries. American
Journal of Applied Sciences, 12(7), 479–486. https://doi.org/10.3844/ajassp.2015.479.486
Khoshnevis Yazdi, S., & Khanalizadeh, B. (2017). Tourism demand: a panel data approach. Current Issues in Tourism, 20(8), 787–800. https://doi.org/10.1080/13683500.2016.1170772
Lim, C. (2006). A survey of tourism demand modelling practice: issues and implications. In International Handbook on the Economics of Tourism (pp. 46–78). Northampton: Edward Elgar.
Martins, L. F., Gan, Y., & Ferreira-Lopes, A. (2017). An empirical analysis of the influence of macroeconomic determinants on World tourism demand. Tourism Management, 61, 248–260. https://doi.org/10.1016/j.tourman.2017.01.008
Ongan, S., Işik, C., & Özdemir, D. (2017). The Effects of Real Exchange Rates and Income on International Tourism Demand for the USA from Some European Union Countries. Economies, 5(4), 51. https://doi.org/10.3390/economies5040051
Organización Mundial de Turismo. (1995). Conceptos, definiciones y clasificaciones de las estadísticas de turismo. Madrid: Organización Mundial de Turismo.
Organización Mundial de Turismo. (2014). Barómetro OMT del turismo mundial y anexo estadístico. Madrid.
Organización Mundial de Turismo. (2017). Barómetro OMT del turismo mundial y anexo estadístico. Madrid.
Panosso Netto, A., & Lohmann, G. (2012). Teoría del turismo. Conceptos, modelos y sistemas. México: Trillas.
Pedroni, P. (1999). Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors. Oxford Bulletin of Economics and Statistics, 61(s1), 653–670. https://doi.org/10.1111/1468-0084.61.s1.14
Peng, G. B., Song, H., & Witt, S. F. (2012). Demand modeling and forecasting. In L. Dwyer, A. Gill, & N. Seetaram (Eds.), Handbook of Research Methods in Tourism Quantitative and Qualitative Approaches (pp. 71–90). Northampton: Edward Elgar Publishing Limited.
Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94(446), 621–634.
Rigol, L. M. M. (2009). Conceptualización de la demanda turística. Ciencias Holguín, XV(2002), 1–8.
Schmöll, G. . (1977). Schmöll, G.A. Londres: Tourism International Press. Secretaría de Turismo. (2015). DATATUR.
Secretaría de Turismo. (2017). Compendio Estadístico del Turismo en México 2017. México: Dirección General de Integración de Información Sectorial. Retrieved from http://www.datatur.sectur.gob.mx/SitePages/CompendioEstadistico.aspx
Seetaram, N. (2010). Use of dynamic panel cointegration approach to model international arrivals to australia. Journal of Travel Research, 49(4), 414–422. https://doi.org/10.1177/0047287509346992
Seo, J. H., Park, S. Y., & Yu, L. (2009). The analysis of the relationships of Korean outbound tourism demand: Jeju Island and three international destinations. Tourism Management, 30(4), 530–543. https://doi.org/10.1016/j.tourman.2008.10.013
Yilmaz, E. (2015). Forecasting tourist arrivals to Turkey. Tourism, 63(4), 435–445.
Publicado
2020-08-31