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Airbnb and hotels during COVID-19: different strategies to survive

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  • Gyódi, Kristóf

Abstract

Purpose: The purpose of this paper is to examine the impact of the COVID-19 pandemic on the traditional hotel industry and Airbnb in nine major European cities. The author examines differences between the two business models and analyses various strategies of Airbnb hosts to cope with the crisis. Design/methodology/approach: A detailed empirical analysis is presented based on data from STR and Inside Airbnb for the period January 2018–September 2020. To assess the impact of the pandemic on the hotel industry, year-to-year changes in various performance metrics are presented. The author also investigates the impact of the pandemic on Airbnb prices with panel data regression analysis. Using text-mining methods, signs for new use-cases are explored, including renting flats for home-office or quarantine. Findings: The results support that Airbnb supply is more flexible. While hotel supply quickly returned to a level close to 2019, the average number of Airbnb listings was lower by more than 15%. Furthermore, the price analysis showed that Airbnb rates decreased more moderately than hotel prices. These findings suggest that a significant share of hosts pivoted from short-term accommodation provision and used their property differently, e.g. rented on a long-term basis. The analysis of listing characteristics revealed that the role of longer stays increased; however, the results do not support a shift towards advertising listings for home-office or quarantine purposes. Originality/value: This paper presents the impact of the pandemic on the hospitality sector in a wide sample of European cities, explores the adjustment of hotels and Airbnb and provides new evidence on the differences between the business models.

Suggested Citation

  • Gyódi, Kristóf, 2021. "Airbnb and hotels during COVID-19: different strategies to survive," MPRA Paper 109333, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:109333
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    References listed on IDEAS

    as
    1. Liran Einav & Chiara Farronato & Jonathan Levin, 2016. "Peer-to-Peer Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 615-635, October.
    2. Garcia-López, Miquel-Àngel & Jofre-Monseny, Jordi & Martínez-Mazza, Rodrigo & Segú, Mariona, 2020. "Do short-term rental platforms affect housing markets? Evidence from Airbnb in Barcelona," Journal of Urban Economics, Elsevier, vol. 119(C).
    3. Horn, Keren & Merante, Mark, 2017. "Is home sharing driving up rents? Evidence from Airbnb in Boston," Journal of Housing Economics, Elsevier, vol. 38(C), pages 14-24.
    4. Marcus Keogh-Brown & Richard Smith & John Edmunds & Philippe Beutels, 2010. "The macroeconomic impact of pandemic influenza: estimates from models of the United Kingdom, France, Belgium and The Netherlands," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(6), pages 543-554, December.
    5. Robbin Deboosere & Danielle Jane Kerrigan & David Wachsmuth & Ahmed El-Geneidy, 2019. "Location, location and professionalization: a multilevel hedonic analysis of Airbnb listing prices and revenue," Regional Studies, Regional Science, Taylor & Francis Journals, vol. 6(1), pages 143-156, January.
    6. Lawani, Abdelaziz & Reed, Michael R. & Mark, Tyler & Zheng, Yuqing, 2019. "Reviews and price on online platforms: Evidence from sentiment analysis of Airbnb reviews in Boston," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 22-34.
    7. Chiara Farronato & Andrey Fradkin, 2018. "The Welfare Effects of Peer Entry in the Accommodation Market: The Case of Airbnb," NBER Working Papers 24361, National Bureau of Economic Research, Inc.
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    Cited by:

    1. E. Guglielminetti & M. Loberto & A. Mistretta, 2023. "The impact of COVID-19 on the European short-term rental market," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(3), pages 585-623, August.

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    More about this item

    Keywords

    Tourism; Airbnb; Text-mining; COVID;
    All these keywords.

    JEL classification:

    • L8 - Industrial Organization - - Industry Studies: Services

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