Tourism persistence in Spain: National versus international visitors

  1. Gil-Alana, Luis A 1
  2. Román, Elena San 2
  3. Gil-López, Águeda 3
  1. 1 University of Navarra, Spain; Universidad Francisco de Vitoria, Spain
  2. 2 Complutense University, Spain
  3. 3 Universidad Francisco de Vitoria, Spain
Revista:
Tourism Economics

ISSN: 1354-8166 2044-0375

Año de publicación: 2019

Volumen: 27

Número: 4

Páginas: 614-625

Tipo: Artículo

DOI: 10.1177/1354816619891349 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Tourism Economics

Resumen

In this article, we examine the statistical properties of the time series corresponding to the number of national and international visitors in Spain using fractional integration. This methodology allows us to examine the degree of persistence of the series, and thus, infer some conclusions about the nature of the shocks. According to the results reported in this work, seasonality matters in both cases, being more important in international tourism. Moreover, we observe significant differences in the degree of persistence between national and international tourism. Although both series seem to be mean reverting, with shocks having a transitory nature, higher orders of integration are observed in the case of the international arrivals.

Referencias bibliográficas

  • Abbritti, M, Gil-Alana, LA, Lovcha, Y, et al. (2016) Term structure persistence. Journal of Financial Econometrics 14(2): 331–352. Google Scholar | Crossref
  • Al-Shboul, M, Anwar, S (2017) Long memory behavior in Singapore’s tourism market. International Journal of Tourism Research 19(5): 524–534. Google Scholar | Crossref
  • Apergis, N, Mervar, A, Payne, JE (2017) Forecasting disaggregated tourist arrivals in Croatia: evidence from seasonal univariate time series models. Tourism Economics 23(1): 78–98. Google Scholar | SAGE Journals | ISI
  • Assaf, A, Barros, CP, Gil-Alana, LA (2011) Persistence in the short and long term tourist arrivals to Australia. Journal of Travel Research 50(2): 408–414. Google Scholar
  • Banco de España (2004) Boletín económico. La competitividad del sector turístico. Available at: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/InformesBoletinesRevistas/BoletinEconomico/04/Fich/be0409-art5.pdf (accessed January 2005). Google Scholar
  • Baum, T, Lundtorp, S (2001) Seasonality in Tourism. Oxford: Pergamon. Google Scholar | Crossref
  • Bloomfield, P (1973) An exponential model in the spectrum of a scalar time series. Biometrika 60: 217–226. Google Scholar | Crossref | ISI
  • Box-Steffensmeier, JM, Tomlinson, AR (2000) Fractional integration methods in political science. Electoral Studies 19(1): 63–76. Google Scholar | Crossref
  • Chen, JH, Malinda, M (2014) Long memory and multiple structural breaks in the returns of travel and tourism indexes. Journal of Economic and Business 5(9): 1460–1472. Google Scholar
  • Cho, V (2003) A comparison of three different approaches to tourist arrival forecasting. Tourism Management 24(3): 323–330. Google Scholar | Crossref
  • Cuccia, T, Rizzo, I (2011) Tourism seasonality in cultural destinations: empirical evidence from Sicily. Tourism Management 32(3): 589–595. Google Scholar | Crossref
  • Cunado, J, Gil-Alana, LA, de Gracia, FP (2005) The nature of seasonality in Spanish tourism time series. Tourism Economics 11(4): 483–499. Google Scholar | SAGE Journals
  • Cunado, J, Gil-Alana, LA, de Gracia, FP (2008a) Fractional integration and structural breaks: evidence from international monthly arrivals in the USA. Tourism Economics 14(1): 13–23. Google Scholar | SAGE Journals | ISI
  • Cunado, J, Gil-Alana, LA, de Gracia, FP (2008b) Persistence in international monthly arrivals in the Canary Islands. Tourism Economics 14(1): 123–129. Google Scholar | SAGE Journals | ISI
  • Dahlhaus, R (1989) Efficient parameter estimation for self-similar process. Annals of Statistics 17: 1749–1766. Google Scholar | Crossref | ISI
  • Dickey, DA, Hasza, DP, Fuller, WA (1984) Testing for unit roots in seasonal time series. Journal of the American Statistical Association 79: 355–367. Google Scholar | Crossref | ISI
  • EUROSTAT (2019) Tourism statistics. Available at: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Tourism_statistics (accessed November 2019). Google Scholar
  • FAMILITUR . Movimientos Turísticos de los Españoles. Available at: http://estadisticas.tourspain.es/es-es/estadisticas/fichadecoyuntura/paginas/default.aspx (accessed November 2019). Google Scholar
  • FRONTUR . Movimientos Turísticos en Fronteras. Available at: http://estadisticas.tourspain.es/es-es/estadisticas/fichadecoyuntura/paginas/default.aspx (accessed November 2019). Google Scholar
  • Gálvez, TG, Romero, JM, Devesa, MJS (2014) Measuring and analysing domestic tourism: the importance of an origin and destination matrix. Tourism Economics 20(3): 451–472. Google Scholar | SAGE Journals | ISI
  • Garcia-Ferrer, A, Queralt, RA (1997) A note on forecasting international tourism demand in Spain. International Journal of Forecasting 13(4): 539–549. Google Scholar | Crossref | ISI
  • Garín-Muñoz, T (2011) La demanda de turismo británico en España. Boletín Económico de ICE 3010: 49–62. Google Scholar
  • Gil-Alana, LA (2000) Mean reversion in the real exchange rates. Economics Letters 69(3): 285–288. Google Scholar | Crossref
  • Gil-Alana, LA (2004) The use of the Bloomfield (1973) model as an approximation to ARMA processes in the context of fractional integration. Mathematical and Computer Modelling 39: 429–436. Google Scholar | Crossref
  • Gil-Alana, LA (2005) Modelling international monthly arrivals using seasonal univariate long-memory processes. Tourism Management 26(6): 867–878. Google Scholar | Crossref
  • Gil-Alana, LA, Cunado, J, de Gracia, FP (2008) Tourism in the Canary Islands: forecasting using several seasonal time series models. Journal of Forecasting 27(7): 621–636. Google Scholar | Crossref
  • Gil-Alana, LA, de Gracia, FP, Cunado, J (2004) Seasonal fractional integration in the Spanish tourism quarterly time series. Journal of Travel Research 42(4): 408–414. Google Scholar | SAGE Journals
  • Gil-Alana, LA, Henry, B (2003) Fractional integration and the dynamics of the UK unemployment. Oxford Bulletin of Economics and Statistics 65(2): 221–239. Google Scholar | Crossref
  • Gil-Alana, LA, Hualde, J (2009) Fractional integration and cointegration: an overview with an empirical application. In: Terence, CM, Patterson, K (eds), The Palgrave Handbook of Applied Econometrics (Vol. 2). Basingstoke: MacMillan, pp. 434–472. Google Scholar | Crossref
  • Gil-Alana, LA, Huijbens, EH (2018) Tourism in Iceland: persistence and seasonality. Annals of Tourism Research 68: 20–29. Google Scholar | Crossref
  • Gil-Alana, LA, Mervar, A, Payne, JE (2015) Measuring persistence in Croatian tourism: evidence from the Adriatic regions. Applied Economics 47(46): 4901–4917. Google Scholar
  • Gil-Alana, LA, Mervar, A, Payne, JE (2016) Modelling the degree of persistence in Croatian tourism. Tourism Economics 22(3): 655–664. Google Scholar | SAGE Journals | ISI
  • Gil-Alana, LA, Mudida, R, de Gracia, FP (2014) Persistence, long memory and seasonality in Kenyan tourism series. Annals of Tourism Research 46: 89–101. Google Scholar | Crossref | ISI
  • Gil-Alana, LA, Payne, JE (2018) Data measurement and the change in persistence of tourist arrivals to the US in the aftermath of the September 11 terrorist attacks. Tourism Economics 24(1): 41–50. Google Scholar | SAGE Journals
  • Gil-Alana, LA, Robinson, PM (1997) Testing of unit roots and other nonstationary hypotheses in macroeconomic time series. Journal of Econometrics 80(2): 241–268. Google Scholar | Crossref
  • Goh, C, Law, R (2002) Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention. Tourism Management 23(5): 499–510. Google Scholar | Crossref | ISI
  • González, P, Moral, P (1995) An analysis of the international tourism demand in Spain. International Journal of Forecasting 11(2): 233–251. Google Scholar | Crossref | ISI
  • González, P, Moral, P (1996) Analysis of tourism trends in Spain. Annals of Tourism Research 23(4): 739–754. Google Scholar | Crossref | ISI
  • Hylleberg, S, Engle, RF, Granger, CWJ, et al. (1990) Seasonal integration and cointegration. Journal of Econometrics 44(1–2): 215–238. Google Scholar | Crossref | ISI
  • Instituto Nacional de Estadística (INE ) (2018) Spanish Tourism Satellite Account. Available at: https://www.ine.es/ (accessed November 2018). Google Scholar
  • Instituto Nacional de Estadística (INE) (2019). Economically Active Population Survey. Available at: https://www.ine.es/ (accessed November 2019). Google Scholar
  • Koenig-Lewis, N, Bischoff, EE (2005) Seasonality research: the state of the art. International Journal of Tourism Research 7(4–5): 201–219. Google Scholar | Crossref
  • Landaluce-Calvo, MI (2017) Enfoque exploratorio multivariante para el análisis de estructuras temporales: una aplicación a la evolución de la demanda turística en España. Estudios de Economía Aplicada 35(2): 465–492. Google Scholar
  • Lean, HH, Smyth, R (2008) Are Malaysia’s tourism markets converging? Evidence from univariate and panel unit root tests with structural breaks. Tourism Economics 14(1): 97–112. Google Scholar | SAGE Journals | ISI
  • Lean, HH, Smyth, R (2009) Asian financial crisis, avian flu and terrorist threats: are shocks to Malaysian tourist arrivals permanent or transitory? Asia Pacific Journal of Tourism Research 14(3): 301–321. Google Scholar | Crossref
  • Liang, YH (2014) Forecasting models for Taiwanese tourism demand after allowance for Mainland China tourists visiting Taiwan. Computers & Industrial Engineering 74: 111–119. Google Scholar | Crossref
  • Lopez, AM, Flores, MA, Sanchez, JI. (2017) Forecasting of Spanish passenger air traffic based on time series models with aggregated and disaggregated approaches. Estudios De Economia Aplicada 35(2): 395–418. Google Scholar
  • Medeiros, MC, McAleer, M, Slottje, D, et al. (2008) An alternative approach to estimating demand: neural network regression with conditional volatility for high frequency air passenger arrivals. Journal of Econometrics 147(2): 372–383. Google Scholar | Crossref
  • Nowman, KB, Van Dellen, S (2012) Forecasting overseas visitors into the United Kingdom using continuous time and autoregressive fractional integrated moving average models with discrete data. Tourism Economics 18(4): 835–844. Google Scholar | SAGE Journals | ISI
  • Robinson, PM (1994) Efficient tests of nonstationary hypotheses. Journal of the American Statistical Association 89(428): 1420–1437. Google Scholar | Crossref
  • Rosselló, J, Font, AR, Rossello, AS (2004) The economic determinants of seasonal patterns. Annals of Tourism Research 31(3): 697–711. Google Scholar | Crossref
  • Rosselló-Nadal, J (2001) Forecasting turning points in international visitor arrivals in the Balearic Islands. Tourism Economics 7(4): 365–380. Google Scholar | SAGE Journals
  • San Román, E (2017) Building Stars. Miguel Fluxá. An Entrepreneurial Story. Madrid: Iberostar Group. Google Scholar
  • Schmidt, P, Phillips, PCB (1992) LM tests for a unit root in the presence of deterministic terms. Oxford Bulletin of Economics and Statistics 54: 257–287. Google Scholar | Crossref | ISI
  • Song, H, Li, G (2008) Tourism demand modelling and forecasting: a review of recent research. Tourism Management 29(2): 203–220. Google Scholar | Crossref | ISI
  • Tang, CF (2011) Old wine in new bottles: are Malaysia’s tourism markets converging? Asia Pacific Journal of Tourism Research 16: 263–272. Google Scholar | Crossref | ISI
  • UNWTO (2014) Glossary of Tourism Terms. Available at: http://www2.unwto.org/ (accessed December 2014). Google Scholar
  • UNWTO (2018). Tourism Highlights. 2018 Edition. Available at: http://www2.unwto.org/ (accessed December 2018). Google Scholar
  • UNWTO (2019). Tourism Highlights. 2019 Edition. Available at: http://www2.unwto.org/ (accessed December 2019). Google Scholar
  • Vallejo-Pousada, RV (2013) Turismo y desarrollo económico en España durante el franquismo, 1939–1975. Revista de la Historia de la Economía y de la Empresa 7: 423–452. Google Scholar
  • Yaya, O, Gil-Alana, LA, Carcel, H (2015) Testing fractional persistence and non-linearities in the natural gas market: an application of non-linear deterministic terms based on Chebyshev polynomials in time. Energy Economics 52: 240–245. Google Scholar
  • Zivot, E, Wang, J (2007) Modeling Financial Time Series With S-Plus® (Vol. 191). Berlin: Springer Science & Business Media. Google Scholar Article available in: Vol 27, Issue 4, 2021