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Tourism recovery amid COVID-19: The case of Lombardy, Italy

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  • Davide Provenzano
  • Serena Volo

Abstract

Travel restrictions and social distancing imposed to curb the spread of the new coronavirus have been strongly hitting tourism since March 2020. Tourism forecasting literature addressed the effects of shocks in contexts characterized by a predictable route to recovery. COVID-19 is without precedents. In this article, monthly overnight stays for the period January 2010 to December 2020 are used to estimate the impact of the pandemic in Lombardy, Italy’s most affected region. A model-based approach is implemented, and the number of overnight stays up to December 2023 is forecasted. Four models are compared. Estimation results from an augmented SARIMA model suggest that, provided a new lockdown is averted, the domestic segment will recover in a relatively short period of time, whereas international tourism might need an external intervention to speed up its recovery process.

Suggested Citation

  • Davide Provenzano & Serena Volo, 2022. "Tourism recovery amid COVID-19: The case of Lombardy, Italy," Tourism Economics, , vol. 28(1), pages 110-130, February.
    • Handle: RePEc:sae:toueco:v:28:y:2022:i:1:p:110-130
    DOI: 10.1177/13548166211039702
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    1. Karabulut, Gokhan & Bilgin, Mehmet Huseyin & Demir, Ender & Doker, Asli Cansin, 2020. "How pandemics affect tourism: International evidence," Annals of Tourism Research, Elsevier, vol. 84(C).
    2. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    3. 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).
    4. Yang, Weiqiong & Wang, Daojie & Chen, Guojie, 2011. "Reconstruction strategies after the Wenchuan Earthquake in Sichuan, China," Tourism Management, Elsevier, vol. 32(4), pages 949-956.
    5. Qiu, Richard T.R. & Park, Jinah & Li, ShiNa & Song, Haiyan, 2020. "Social costs of tourism during the COVID-19 pandemic," Annals of Tourism Research, Elsevier, vol. 84(C).
    6. 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).
    7. Liu, Anyu & Vici, Laura & Ramos, Vicente & Giannoni, Sauveur & Blake, Adam, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team," Annals of Tourism Research, Elsevier, vol. 88(C).
    8. Kourentzes, Nikolaos & Saayman, Andrea & Jean-Pierre, Philippe & Provenzano, Davide & Sahli, Mondher & Seetaram, Neelu & Volo, Serena, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Africa team," Annals of Tourism Research, Elsevier, vol. 88(C).
    9. Sigala, Marianna, 2020. "Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research," Journal of Business Research, Elsevier, vol. 117(C), pages 312-321.
    10. Athanasopoulos, George & Hyndman, Rob J. & Song, Haiyan & Wu, Doris C., 2011. "The tourism forecasting competition," International Journal of Forecasting, Elsevier, vol. 27(3), pages 822-844.
    11. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    12. Cró, Susana & Martins, António Miguel, 2017. "Structural breaks in international tourism demand: Are they caused by crises or disasters?," Tourism Management, Elsevier, vol. 63(C), pages 3-9.
    13. Kourentzes, Nikolaos & Athanasopoulos, George, 2019. "Cross-temporal coherent forecasts for Australian tourism," Annals of Tourism Research, Elsevier, vol. 75(C), pages 393-409.
    14. Qiu, Richard T.R. & Wu, Doris Chenguang & Dropsy, Vincent & Petit, Sylvain & Pratt, Stephen & Ohe, Yasuo, 2021. "Visitor arrivals forecasts amid COVID-19: A perspective from the Asia and Pacific team," Annals of Tourism Research, Elsevier, vol. 88(C).
    15. Akaike, Hirotugu, 1981. "Likelihood of a model and information criteria," Journal of Econometrics, Elsevier, vol. 16(1), pages 3-14, May.
    16. Ulrike Gretzel & Matthias Fuchs & Rodolfo Baggio & Wolfram Hoepken & Rob Law & Julia Neidhardt & Juho Pesonen & Markus Zanker & Zheng Xiang, 2020. "e-Tourism beyond COVID-19: a call for transformative research," Information Technology & Tourism, Springer, vol. 22(2), pages 187-203, June.
    17. Dolnicar, Sara & Zare, Samira, 2020. "COVID19 and Airbnb – Disrupting the Disruptor," Annals of Tourism Research, Elsevier, vol. 83(C).
    18. Albert Assaf & Raffaele Scuderi, 2020. "COVID-19 and the recovery of the tourism industry," Tourism Economics, , vol. 26(5), pages 731-733, August.
    19. Zhang, Ke & Hou, Yuansi & Li, Gang, 2020. "Threat of infectious disease during an outbreak: Influence on tourists' emotional responses to disadvantaged price inequality," Annals of Tourism Research, Elsevier, vol. 84(C).
    20. Makridakis, Spyros & Hibon, Michele, 2000. "The M3-Competition: results, conclusions and implications," International Journal of Forecasting, Elsevier, vol. 16(4), pages 451-476.
    21. Mertzanis, Charilaos & Papastathopoulos, Avraam, 2021. "Epidemiological susceptibility risk and tourist flows around the world," Annals of Tourism Research, Elsevier, vol. 86(C).
    22. Zhang, Hanyuan & Song, Haiyan & Wen, Long & Liu, Chang, 2021. "Forecasting tourism recovery amid COVID-19," Annals of Tourism Research, Elsevier, vol. 87(C).
    23. Adam Blake & M. Thea Sinclair & Guntur Sugiyarto, 2003. "Quantifying the Impact of Foot and Mouth Disease on Tourism and the UK Economy," Tourism Economics, , vol. 9(4), pages 449-465, December.
    24. Koning, Alex J. & Franses, Philip Hans & Hibon, Michele & Stekler, H.O., 2005. "The M3 competition: Statistical tests of the results," International Journal of Forecasting, Elsevier, vol. 21(3), pages 397-409.
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    2. Marcus Roller, 2022. "Pre-Crisis Determinants of Tourism Resilience," Diskussionsschriften credresearchpaper39, Universitaet Bern, Departement Volkswirtschaft - CRED.
    3. Xingshan Wang & Lu Tang & Wei Chen & Jianxin Zhang, 2022. "Impact and Recovery of Coastal Tourism Amid COVID-19: Tourism Flow Networks in Indonesia," Sustainability, MDPI, vol. 14(20), pages 1-17, October.

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