The resilience of spanish tourismdifferences by type of tourism

  1. Vena Oya, Julio 1
  2. Calahorro López, Alberto 1
  3. García Vico, José 1
  1. 1 Universidad de Jaén

    Universidad de Jaén

    Jaén, España


Journal of Tourism and Heritage Research: JTHR

ISSN: 2659-3580

Year of publication: 2021

Issue Title: Journal of Tourism and Heritage Research

Volume: 4

Issue: 1

Pages: 111-123

Type: Article

More publications in: Journal of Tourism and Heritage Research: JTHR


By the end of December 2019 and outbreak of COVID-19 emerged in China. In few months this outbreak became into a pandemic problem which led to an international borders closure and a lockdown of at least 2 weeks in many countries, including Spain. This situation caused the veto of national tourism until the end of May, ban which persist on international tourism until the beginning of the summer peak. So, the aim of this research is to determine what has been the behavior or Spanish tourism. For that purpose, data from the 100 most popular destination in Spain was caught, trying to find the most resilient areas as well as the tourism typologies that have best resisted this crisis taking into account the 2019/2020 variation of traveler and their overnights stays. Finally, on the basis of these results, a deep reflection is carried out to know the Spanish and tourist behavior by regions and tourism typology.

Bibliographic References

  • References Bustelo, P., & Isbell, P. (2003). Una aproximación al impacto económico del SARS. Boletín Elcano, (23), 6.
  • Cahyanto, I., Wiblishauser, M., Pennington-Gray, L., & Schroeder, A. (2016). The dynamics of travel avoidance: The case of Ebola in the US. Tourism Management Perspectives, 20, 195-203. Cró, S., & Martins, A. M. (2017). Structural breaks in international tourism demand: Are they caused by crises or disasters? Tourism Management, 63, 3-9.
  • García Leal, J. & Lara Porras, A.M. (1998). “Diseño Estadístico de Experimentos. Análisis de la Varianza.” Grupo Editorial Universitario.
  • INE (2020, a). Obtenido en: 36169169&menu=ultiDatos&idp=1254735576863
  • INE (2020, b). Obtenido en:!tabs-tabla
  • Landau, S. (2019). A handbook of statistical analyses using SPSS. Chapman & Hall.
  • Lara Porras, A.M. (2000). Diseño Estadístico de Experimentos, Análisis de la Varianza y Temas Relacionados: Tratamiento Informático mediante SPSS. Proyecto Sur de Ediciones. Leggat, P. A., Brown, L. H., Aitken, P., & Speare, R. (2010). Level of concern and precaution taking among Australians regarding travel during pandemic (H1N1) 2009: results from the 2009 Queensland Social Survey. Journal of Travel Medicine, 17(5), 291-295.
  • Maxwell, S. E., & Delaney, H. D. (1990). Designing experiments and analyzing data: A model comparison perspective. Wadsworth/Thomson Learning. McAleer, M., Huang, B. W., Kuo, H. I., Chen, C. C., & Chang, C. L. (2010). An econometric analysis of SARS and Avian Flu on international tourist arrivals to Asia. Environmental Modelling & Software, 25(1), 100-106.
  • OECD. Publishing. (2018). OECD Tourism Trends and Policies 2018. OECD publishing.
  • Ritchie, B. W., & Jiang, Y. (2019). A review of research on tourism risk, crisis and disaster management: Launching the annals of tourism research curated collection on tourism risk, crisis and disaster management. Annals of Tourism Research, 79, 102812.
  • Wilder-Smith, A. (2006). The severe acute respiratory syndrome: impact on travel and tourism. Travel Medicine and Infectious Disease, 4(2), 53-60.