IDEAS home Printed from https://ideas.repec.org/a/eee/anture/v96y2022ics0160738322001153.html
   My bibliography  Save this article

The effects of location before and during COVID-19

Author

Listed:
  • Sainaghi, Ruggero
  • Chica-Olmo, Jorge

Abstract

This article explores the ability of locational variables and spillover to influence Airbnb listing performance in Milan. The effects of different determinants are analyzed for the periods before and during the pandemic. The sample includes 7213 listings, is based on AirDNA data, and developed using two regression models. The findings confirm the hypotheses proposed. The revenue estimated for a standard apartment in 2020 was approximately double that estimated for 2021. The results showed some substantial changes during the pandemic, which considerably reduced the ability of well-known variables (such as size) to explain the listing performance variance. The role of host characteristics (superhost badge) increased during the pandemic, while some contractual terms were significantly changed, and the spatial spillover almost doubled.

Suggested Citation

  • Sainaghi, Ruggero & Chica-Olmo, Jorge, 2022. "The effects of location before and during COVID-19," Annals of Tourism Research, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:anture:v:96:y:2022:i:c:s0160738322001153
    DOI: 10.1016/j.annals.2022.103464
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160738322001153
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.annals.2022.103464?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ivanova, Maya & Ivanov, Ivan Krasimirov & Ivanov, Stanislav Hristov, 2020. "Travel behaviour after the pandemic: the case of Bulgaria," SocArXiv 36rkb, Center for Open Science.
    2. Jeroen Oskam & Jean-Pierre Rest & Benjamin Telkamp, 2018. "What’s mine is yours—but at what price? Dynamic pricing behavior as an indicator of Airbnb host professionalization," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(5), pages 311-328, October.
    3. Joel A. C. Baum & Paul Ingram, 1998. "Survival-Enhancing Learning in the Manhattan Hotel Industry, 1898--1980," Management Science, INFORMS, vol. 44(7), pages 996-1016, July.
    4. Irem Önder & Christian Weismayer & Ulrich Gunter, 2019. "Spatial price dependencies between the traditional accommodation sector and the sharing economy," Tourism Economics, , vol. 25(8), pages 1150-1166, December.
    5. Dubin, Robin A., 1992. "Spatial autocorrelation and neighborhood quality," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 433-452, September.
    6. Türk, Umut & Östh, John & Kourtit, Karima & Nijkamp, Peter, 2021. "The path of least resistance explaining tourist mobility patterns in destination areas using Airbnb data," Journal of Transport Geography, Elsevier, vol. 94(C).
    7. Kaplan, Sigal & Manca, Francesco & Nielsen, Thomas Alexander Sick & Prato, Carlo Giacomo, 2015. "Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior," Tourism Management, Elsevier, vol. 47(C), pages 34-46.
    8. Williams, Allan M. & Chen, Jason Li & Li, Gang & Baláž, Vladimír, 2022. "Risk, uncertainty and ambiguity amid Covid-19: A multi-national analysis of international travel intentions," Annals of Tourism Research, Elsevier, vol. 92(C).
    9. Ulrich Gunter & Irem Önder, 2018. "Determinants of Airbnb demand in Vienna and their implications for the traditional accommodation industry," Tourism Economics, , vol. 24(3), pages 270-293, May.
    10. 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).
    11. V. Raul Perez-Sanchez & Leticia Serrano-Estrada & Pablo Marti & Raul-Tomas Mora-Garcia, 2018. "The What, Where, and Why of Airbnb Price Determinants," Sustainability, MDPI, vol. 10(12), pages 1-31, December.
    12. Yang, Yang & Mao, Zhenxing, 2020. "Location advantages of lodging properties: A comparison between hotels and Airbnb units in an urban environment," Annals of Tourism Research, Elsevier, vol. 81(C).
    13. Davide Proserpio & Wendy Xu & Georgios Zervas, 2018. "You get what you give: theory and evidence of reciprocity in the sharing economy," Quantitative Marketing and Economics (QME), Springer, vol. 16(4), pages 371-407, December.
    14. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    15. Bo Zhou & Zhihong Wen & Ian Sutherland & Seul Ki Lee, 2022. "The spatial heterogeneity and dynamics of tourism-flow spillover effect: The role of high-speed train in China," Tourism Economics, , vol. 28(2), pages 300-324, March.
    16. 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.
    17. Yang, Yang & Zhang, Hongru & Chen, Xiang, 2020. "Coronavirus pandemic and tourism: Dynamic stochastic general equilibrium modeling of infectious disease outbreak," Annals of Tourism Research, Elsevier, vol. 83(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lee, Yong-Jin Alex & Jang, Seongsoo & Kim, Jinwon, 2020. "Tourism clusters and peer-to-peer accommodation," Annals of Tourism Research, Elsevier, vol. 83(C).
    2. Türk, Umut & Östh, John & Kourtit, Karima & Nijkamp, Peter, 2021. "The path of least resistance explaining tourist mobility patterns in destination areas using Airbnb data," Journal of Transport Geography, Elsevier, vol. 94(C).
    3. Emeka Ndaguba & Cina Van Zyl, 2023. "Professionalizing Sharing Platforms for Sustainable Growth in the Hospitality Sector: Insights Gained through Hierarchical Linear Modeling," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
    4. Bozana Zekan & Ulrich Gunter, 2022. "Zooming into Airbnb listings of European cities: Further investigation of the sector’s competitiveness," Tourism Economics, , vol. 28(3), pages 772-794, May.
    5. Meijian Yang & Enjun Xia, 2021. "A Systematic Literature Review on Pricing Strategies in the Sharing Economy," Sustainability, MDPI, vol. 13(17), pages 1-28, August.
    6. Chunfang Zhao & Yingliang Wu & Yunfeng Chen & Guohua Chen, 2023. "Multiscale Effects of Hedonic Attributes on Airbnb Listing Prices Based on MGWR: A Case Study of Beijing, China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    7. McCabe, Scott & Qiao, Guanghui, 2020. "A review of research into social tourism: Launching the Annals of Tourism Research Curated Collection on Social Tourism," Annals of Tourism Research, Elsevier, vol. 85(C).
    8. Xi Wu & Adam Blake, 2023. "The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China," SAGE Open, , vol. 13(1), pages 21582440231, January.
    9. Yang, Yang & Zhang, Carol X. & Rickly, Jillian M., 2021. "A review of early COVID-19 research in tourism: Launching the Annals of Tourism Research's Curated Collection on coronavirus and tourism1," Annals of Tourism Research, Elsevier, vol. 91(C).
    10. Lucie Plzáková & Egon Smeral, 2022. "Impact of the COVID-19 crisis on European tourism," Tourism Economics, , vol. 28(1), pages 91-109, February.
    11. Ying Wang & Hongwei Zhang & Wang Gao & Cai Yang, 2023. "Spillover effects from news to travel and leisure stocks during the COVID-19 pandemic: Evidence from the time and frequency domains," Tourism Economics, , vol. 29(2), pages 460-487, March.
    12. Augusto Voltes-Dorta & Federico Inchausti-Sintes, 2021. "The spatial and quality dimensions of Airbnb markets," Tourism Economics, , vol. 27(4), pages 688-702, June.
    13. Sariişik Mehmet & Kapucuoğlu Mustafa İnanç & Ceylan Veli, 2023. "Impact of the COVID-19 pandemic on travel behavior: A case study of domestic inbound travelers in Turkey," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 13(2), pages 211-224, December.
    14. Yifei Jiang & Honglei Zhang & Xianting Cao & Ge Wei & Yang Yang, 2023. "How to better incorporate geographic variation in Airbnb price modeling?," Tourism Economics, , vol. 29(5), pages 1181-1203, August.
    15. Giulia Contu & Luca Frigau & Claudio Conversano, 2023. "Price indicators for Airbnb accommodations," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4779-4802, October.
    16. Yuting Chen & Rong Zhang & Bin Liu, 2021. "Fixed, flexible, and dynamics pricing decisions of Airbnb mode with social learning," Tourism Economics, , vol. 27(5), pages 893-914, August.
    17. Zheng, Zuolong & Li, Ziying & Zhang, Xuwen & Liang, Sai & Law, Rob & Lei, Jiasu, 2023. "Substitution or complementary effects between hosts and neighbors’ information disclosure: Evidence from Airbnb," Journal of Business Research, Elsevier, vol. 161(C).
    18. Abrate, Graziano & Sainaghi, Ruggero & Mauri, Aurelio G., 2022. "Dynamic pricing in Airbnb: Individual versus professional hosts," Journal of Business Research, Elsevier, vol. 141(C), pages 191-199.
    19. Thanasis Stengos & Michael L. Polemis, 2020. "Threshold effects during the COVID-19 pandemic: Evidence from international tourist destinations," Working Papers 2005, University of Guelph, Department of Economics and Finance.
    20. Lim, Weng Marc & Yap, Sheau-Fen & Makkar, Marian, 2021. "Home sharing in marketing and tourism at a tipping point: What do we know, how do we know, and where should we be heading?," Journal of Business Research, Elsevier, vol. 122(C), pages 534-566.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:anture:v:96:y:2022:i:c:s0160738322001153. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/annals-of-tourism-research/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.