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The impact of COVID-19 on the tourism sector in Italy: a regional spatial perspective

Author

Listed:
  • A.C. Pinate
  • A. Faggian
  • M.G. Brandano

Abstract

The recent COVID-19 pandemic crisis affected all economic sectors, but in particular tourism. In fact, it is now almost unquestionable that the tourism sector was hit the hardest. However, the resilience of domestic and international tourism, and its capacity to rebound from crises, has also been recognized. In this context, the aim of this paper is twofold. First, to analyze the impact of COVID-19 on tourism flows in Italy, by looking at NUTS-3 level data on national and international tourism arrivals. Second, to understand whether, and to what extent, some "alternative" destinations benefited during the pandemic. Spatial and geostatistical analyses are used to capture the determinants of the variation in tourism flows in 2020 and 2021 compared with the pre-pandemic year (2019). Results show different scenarios in the two periods analyzed, demonstrating that tourist behaviors started to change, and they are still evolving.

Suggested Citation

  • A.C. Pinate & A. Faggian & M.G. Brandano, 2023. "The impact of COVID-19 on the tourism sector in Italy: a regional spatial perspective," Working Paper CRENoS 202309, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  • Handle: RePEc:cns:cnscwp:202309
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    1. Milenko Fadic & José Enrique Garcilazo & Ana Moreno Monroy & Paolo Veneri, 2019. "Classifying small (TL3) regions based on metropolitan population, low density and remoteness," OECD Regional Development Working Papers 2019/06, OECD Publishing.
    2. Martin Thomas Falk & Eva Hagsten & Xiang Lin, 2022. "Domestic tourism demand in the North and the South of Europe in the Covid-19 summer of 2020," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 537-553, October.
    3. João Romão & Peter Nijkamp, 2019. "Impacts of innovation, productivity and specialization on tourism competitiveness – a spatial econometric analysis on European regions," Current Issues in Tourism, Taylor & Francis Journals, vol. 22(10), pages 1150-1169, June.
    4. Ritchie, Brent W. & Jiang, Yawei, 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, Elsevier, vol. 79(C).
    5. Mounir Amdaoud & Giuseppe Arcuri & Nadine Levratto, 2021. "Are regions equal in adversity? A spatial analysis of spread and dynamics of COVID-19 in Europe," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(4), pages 629-642, June.
    6. Mounir Amdaoud & Giuseppe Arcuri & Nadine Levratto, 2021. "Are regions equal in adversity? A spatial analysis of spread and dynamics of COVID-19 in Europe," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(4), pages 629-642, June.
    7. Giovanni Immordino & Tullio Jappelli & Tommaso Oliviero & Alberto Zazzaro, 2022. "Fear of COVID‐19 contagion and consumption: Evidence from a survey of Italian households," Health Economics, John Wiley & Sons, Ltd., vol. 31(3), pages 496-507, March.
    8. Pérez-Rodríguez, Jorge V. & Ledesma-Rodríguez, Francisco & Santana-Gallego, María, 2015. "Testing dependence between GDP and tourism's growth rates," Tourism Management, Elsevier, vol. 48(C), pages 268-282.
    9. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    10. Annamaria Nifo & Gaetano Vecchione, 2014. "Do Institutions Play a Role in Skilled Migration? The Case of Italy," Regional Studies, Taylor & Francis Journals, vol. 48(10), pages 1628-1649, October.
    11. Mounir Amdaoud & Giuseppe Arcuri & Nadine Levratto, 2021. "Are regions equal in adversity? A spatial analysis of spread and dynamics of COVID-19 in Europe," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(4), pages 629-642, June.
    12. Festus Fatai Adedoyin & Naila Erum & Festus Victor Bekun, 2022. "How does institutional quality moderates the impact of tourism on economic growth? Startling evidence from high earners and tourism-dependent economies," Tourism Economics, , vol. 28(5), pages 1311-1332, August.
    13. Fotiadis, Anestis & Polyzos, Stathis & Huan, Tzung-Cheng T.C., 2021. "The good, the bad and the ugly on COVID-19 tourism recovery," Annals of Tourism Research, Elsevier, vol. 87(C).
    14. Sharma, Abhinav & Nicolau, Juan Luis, 2020. "An open market valuation of the effects of COVID-19 on the travel and tourism industry," Annals of Tourism Research, Elsevier, vol. 83(C).
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    Keywords

    tourism flows; spatial analysis; short-term resilience; italy; COVID-19 pandemic;
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