Mexico and Uruguay inbound tourism demand
DOI:
https://doi.org/10.7784/rbtur.v13i3.1582Keywords:
Tourism demand, Cointegration, Real exchange rate, Mexico, Uruguay, JEL: C32, F14, F41Abstract
The main objective of this paper is to estimate the tourism demand for Mexico and Uruguay, two very different countries, but for both of which tourism is an important activity, and mainly originating from a large neighbor. We try to analyze whether the determinants of tourism demand differ depending on the size of the country, or if being a neighboring country is the main determinant. So, we analyze the relationship between the number of American tourists visiting Mexico and Argentinian tourists visiting Uruguay, and the inbound tourists’ income and the bilateral real exchange rate (RER) between the visiting country and the hosting country, following the Johansen’s methodology. We found one cointegration relationship for each country, where the income-elasticity was greater than 2 for American tourists visiting Mexico, and nearly 3 for Argentinian tourists visiting Uruguay. Bilateral RERs were also significant in both models. Moreover, forecasts show the impacts of institutional changes on the tourism sector. The impact of arrival of President Macri to power was positive for Argentinian tourists visiting Uruguay, but President Trump's arrival in the US was negative for American tourists visiting Mexico.
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Adnan Hye, Q. M. & Ali Khan, R. E. (2013). Tourism-led growth hypothesis: A case study of Pakistan. Asia Pacific Journal of Tourism Research, 18(4), 303-313. https://doi.org/10.1080/10941665.2012.658412
Altmark, S.; Mordecki, G.; Risso, W.A., & Santiñaque, F. (2013). Argentinian and Brazilian demands for tourism in Uruguay. Tourism Analysis, 18(2), 173-182. https://doi.org/10.3727/108354213X13645733247738
Álvarez-Díaz, M.; Otero-Giráldez, M. S. & González-Gómez, M. (2015). La modelización de la demanda de turismo de economías emergentes: El caso de la Llegada de Turistas Rusos a España. Working Paper: 15/03. June 2015, Universidad de Vigo. https://doi.org/10.1016/j.cesjef.2015.10.001
Álvarez-Díaz, M.; Otero-Giráldez, M. S. & González-Gómez, M. (2012). Estimating international tourism de-mand to Spain separately by the major source markets. Working Paper: 12/04, Universidad de Vigo.
Botzoris, G.; Varagoulia, E.; Profillidisa, V.; Papadopoulosa B. & Lathirasb P. (2014). Forecast of tourism de-mand with the use of fuzzy and cointegration econometric techniques. Journal of Computational Methods in Sciences and Engineering, 14(5), 245-257. http://dx.doi.org/10.3233/JCM-140501
Brida, J.; Lanzilotta, B. & Risso, W. (2010). The tourism-led growth hypothesis for Uruguay, Tourism Economics, 16(3),765-771. https://doi.org/10.5367/000000010792278356
Brida, G.; Monterubbianesi, P.D. & Serviansky, M. (2012). El impacto del costo de transporte en la demanda de turismo receptivo argentino en Uruguay. Un análisis desagregado de cointegración y causalidad. TURyDES 5(12), 1-28.
Cao, Z.; Li, G. & Song, H. (2017). Modelling the interdependence of tourism demand: The global vector auto-regressive approach. Annals of Tourism Research, 67, 1-13. https://doi.org/10.1016/j.annals.2017.07.019
Chon, K. S.; Pine, R. J.; Lam, T. & Zhang, H. Q. (2013). Tourism and hotel development in China: From political to economic success. Routledge. https://doi.org/10.4324/9780203048320
Chou, M. C. (2013). Does tourism development promote economic growth in transition countries? A panel data analysis. Economic Modelling, 33, 226-232. http://dx.doi.org/10.1016/j.econmod.2013.04.024
Consejo Nacional Empresarial Turístico - CNET (2017). Panorama de la actividad turística en México. CNET: Cidade do México. Disponível em: https://www.cnet.org.mx/panorama/no-20
Costa, C.; Panyik, E. & Buhalis, D. (2014). A comparative approach to European tourism planning and organi-sation systems: An introduction. In: Costa, C; Panyik, E.; Buhalis, D. (ed.) European Tourism Planning and Or-ganisation Systems: The EU Member States, Bristol: Channel View Publication. https://doi.org/10.13140/2.1.3978.0163
Crouch, G. I. (1995). A meta-analysis of tourism demand. Annals of Tourism Research, 22(1), 103-118. https://doi.org/10.1016/0160-7383(94)00054-V
Desplas, N. (2010). La oferta turística de la sierra tarahumara: su caracterización y sus potencialidades para el turista europeo. Talleres gráficos del Estado de Chihuahua. México: Secretaría de Desarrollo Comercial yTurístico, 1-71.
Dritsakis, N. (2004). Cointegration analysis of German and British tourism demand for Greece. Tourism Man-agement, 25(1), 111–119. http://dx.doi.org/10.1016/S0261-5177(03)00061-X
Enders, W. (1995). Applied econometric time series. John Wiley and Sons, Inc. Editors.
Ghimire, K. B. (ed.) (2013). The native tourist: Mass tourism within developing countries. Routledge. https://doi.org/10.1002/jid.894
González, P. & Moral, P. (1995). An analysis of the international tourism demand in Spain. International Jour-nal of Forecasting, 11(2), 233-251. https://doi.org/10.1016/0169-2070(94)00570-3
Gunter, U. & Smeral, E. (2016). The decline of tourism income elasticities in a global context. Tourism Econom-ics. 22(3), 466-483. https://doi.org/10.5367/te.2014.0431
Han, Z.; Durbarry, R. & Sinclair, M. T. (2006). Modeling US tourism demand for European destinations. Tourism Management, 27(1), 1-10. https://doi.org/10.1016/j.tourman.2004.06.015
Hong Kong Tourism Board (2014). Hong Kong, the facts. Honh Kong Government. December 2014 in the link: http://www.gov.hk/en/about/abouthk/factsheets/docs/tourism.pdf
Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. https://doi.org/10.1016/0165-1889(88)90041-3
Johansen, S. (1992). Cointegration in partial systems and the efficiency of single-equation analysis. Journal of Econometrics, 52(3), 389-402. https://doi.org/10.1016/0304-4076(92)90019-N
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. http://dx.doi.org/10.3844/ajassp.2015.479.486
Krugman, P. & Obstfeld, M. (2008). International economics: Theory and policy, International Edition, 8th ed. Pearson, Addison Wesley.
Lim, C. (1997). Review of international tourism demand models, Annals of Tourism Research, 24(4), 835-849. https://doi.org/10.1016/S0160-7383(97)00049-2
Lim, C. & McAleer, M. (2001). Modelling the determinants of international tourism demand to Australia. The Institute of Social and Economic Research, Osaka University.
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.
Meré, D. (2016). Recibe México turistas de EU como nunca. Periódico Reforma. Mexico. March, 2016
Mudambi, R. & Baum, T. (1997). Strategic segmentation: an empirical analysis of tourist expenditure in Tur-key. Journal of Travel Research, 36(1), 29-34. https://doi.org/10.1177%2F004728759703600105
Nurbaizura, B. & Zainudin, A. (2015). Estimating international tourism demand for Malaysia. Proceedings of the International Conference on Natural Resources, Tourism and Services Management. Sabah, Malaysia,
OPP (2009). Estrategia Uruguay III siglo. Aspectos productivos. Working paper, Oficina de Planeamiento y Presupuesto, Uruguay.
Pablo-Romero, M. D. P. and Molina, J. A. (2013). Tourism and economic growth: A review of empirical litera-ture. Tourism Management Perspectives, 8, 28-41. http://dx.doi.org/10.5772/62276
Pham, T. D.; Nghiem, S. & Dwyer, L. (2017). The determinants of Chinese visitors to Australia: A dynamic de-mand analysis. Tourism Management, 63, 268-276. http://dx.doi.org/10.1016/j.tourman.2017.06.015
Paraskevopolous, G. (1977). An econometric analysis of international tourism, Lecture Series No. 31, Centre of Planning and Economic Research, Athens, Greece.
Peterson, R. R.; Cardenas, D. & Harrill, R. (2014). Tourism as a catalyst for economic development in Latin America: Setting an agenda for policy and research. Tourism Analysis, 19(1), 117-122. http://dx.doi.org/10.3727/108354214X13927625340433
Ribeiro, M. A.; Oom do Valle, P. & Silva, J. A. (2013). Residents’ attitudes towards tourism development in Cape Verde islands. Tourism Geographies, 15(4), 654-679. http://dx.doi.org/10.1080/14616688.2013.769022
Ridderstaat J.; Croes R. & Nijkamp P. (2014), Tourism and long-run economic growth in Aruba. International Journal of Tourism Research, 16(5), 472-487. http://dx.doi.org/10.1002/jtr.1941
Robano, V. (2000). Determinantes del turismo receptivo en Uruguay, Proceedings of the XV Jornadas de Economía del Banco Central del Uruguay, Montevideo.
Sánchez, M., Pulido, J. I. & Cárdenas, P. J. (2013). Tourism growth versus economic development: An analysis by multivariate techniques. In: Matias, A.; Nijkamp, P. & Sarmento, M. Quantitative Methods in Tourism Eco-nomics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2879-5_13
Schubert, S. F.; Brida, J. G. & Risso, W. A. (2011). The impacts of international tourism demand on economic growth of small economies dependent on tourism. Tourism Management, 32(2), 377-385. https://doi.org/10.1016/j.tourman.2010.03.007
Secretaría de Turismo de México (2016), México primer lugar del “TOP 10” de sitios para turismo de lujo, Mexico, Gobierno de Mexico. February 2016: http://www.gob.mx/sectur/prensa/mexico-primer-lugar-del-top-10-de-sitios-para-turismo-de-lujo
Serviansky, M. (2011). El impacto del costo del transporte en la demanda de turismo receptivo argentino en Uruguay. Un análisis desagregado de cointegración y causalidade. Thesis (Master degree in Economics), Universidad de la República de Uruguay, Montevideo, Uruguay.
Song, H. & Li, G. (2008). Tourism demand modelling and forecasting — A review of recent research. Tourism Management, 29(2), 203-220. https://doi.org/10.1016/j.tourman.2007.07.016
Song, H.; Li, G.; Witt, S.F. & Fei, B. (2010). Tourism demand modelling and forecasting: how should demand be measured? Tourism Economics, 16(1), 63-81. https://doi.org/10.5367/000000010790872213
Stronge, W. & Redman, M., (1982). USA tourism in Mexico: An empirical analysis. Annals of Tourism Research, 9(1), 21-35. https://doi.org/10.1016/0160-7383(82)90032-9
Tang, C. F. & Tan, E. C. (2013). How stable is the tourism-led growth hypothesis in Malaysia? Evidence from disaggregated tourism markets. Tourism Management, 37, 52-57. https://doi.org/10.1016/j.tourman.2012.12.014
Timothy, D. J. (2014). Trends in Tourism, Shopping, and Retailing. In: Lew, A. A.; Hall, C. M. & Williams, A. M. The Wiley Blackwell Companion to Tourism, John Wiley & Sons Ltd. https://doi.org/10.1002/9781118474648.ch30
Truett, D. & Truett, L. (1987). The response of tourism to international economic conditions: Greece, Mexico, and Spain. The Journal of Developing Areas, 21(2), 177-90.
Tugcu, C. T. (2014). Tourism and economic growth nexus revisited: A panel causality analysis for the case of the Mediterranean Region. Tourism Management, 42, 207-212. https://doi.org/10.1016/j.tourman.2013.12.007
Uruguayan Ministry of Tourism, Uruguay. In: http://mintur.gub.uy/index.php/estadisticas/turismo-receptivo
Witt, S.F. and Witt, C. A. (1995). Forecasting tourism demand: A review of empirical research. International Journal of Forecasting Volume 11, Issue 3, Pages 447-475. https://doi.org/10.1016/0169-2070(95)00591-7
World Tourism Organization (UNWTO, 2011). Tourism Towards 2030 / Global Overview - Advance edition pre-sented at UNWTO 19th General Assembly - 10 October 2011
World Tourism Organization – UNWTO (2014). UNWTO World Tourism Barometer. Retrieved December 10, 2015, from http://mkt.unwto.org/barometer
White House (2014). Fact sheet: and report: President Obama Visits Cooperstown to Highlight Travel and Tourism that is Growing our Economy and Creating Jobs. Retrieved December 11, 2014, from http://www.whitehouse.gov/the-press-office/2014/05/22/fact-sheet-report-president-obama-visits-cooperstown-highlight-travel-an
World Travel and Tourism Council – WTTC (2011). WTTC annual reports, progress and priorities 2011/11. The World Travel and Tourism Council.
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