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The Rise of the Sharing Economy in Tourism: Exploring Airbnb Attributes for the Veneto Region

Author

Listed:
  • Jan Van der Borg

    (Department of Economics, University Of Venice CÃ Foscari, and KU Leuven)

  • Nicola Camatti

    (Department of Economics, University Of Venice CÃ Foscari)

  • Dario Bertocchi

    (IUAV University of Venice)

  • Andrea Albarea

    (Department of Economics, University Of Venice CÃ Foscari)

Abstract

In just a couple of years, the sharing economy grew out to become a significant segment of the holiday accommodation market. Online peer-to-peer marketplaces allow people to offer rooms or entire houses to tourists, with Airbnb being the biggest and most famous example. This paper aims to give an insight into explaining which factors and attributes influence the success of Airbnb accommodations in the Veneto Region, using occupancy as a proxy. We analysed characteristics of 19624 Airbnb accommodations. The logistic regression model identifies a number of influential attributes which can be divided between locational characteristics, being located in attractive tourism destinations, and accommodation characteristics, for example the price, rating, number of previous bookings and the status of the host. The quantitative analysis allows to create an attractiveness scale, which is analysed for geographic patterns.

Suggested Citation

  • Jan Van der Borg & Nicola Camatti & Dario Bertocchi & Andrea Albarea, 2017. "The Rise of the Sharing Economy in Tourism: Exploring Airbnb Attributes for the Veneto Region," Working Papers 2017:05, Department of Economics, University of Venice "Ca' Foscari".
    • Handle: RePEc:ven:wpaper:2017:05
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    References listed on IDEAS

    as
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    Cited by:

    1. Koster, Hans R.A. & van Ommeren, Jos & Volkhausen, Nicolas, 2021. "Short-term rentals and the housing market: Quasi-experimental evidence from Airbnb in Los Angeles," Journal of Urban Economics, Elsevier, vol. 124(C).
    2. Nicola Camatti & Giacomo Tollo & Gianni Filograsso & Sara Ghilardi, 2024. "Predicting Airbnb pricing: a comparative analysis of artificial intelligence and traditional approaches," Computational Management Science, Springer, vol. 21(1), pages 1-25, June.
    3. Ricardo Teruel-Gutierrez & Mariluz Maté-Sánchez-Val, 2021. "The impact of Instagram on Airbnb’s listing prices in the city of Barcelona," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 737-763, December.
    4. Bianca Tescașiu & Gheorghe Epuran & Alina Simona Tecău & Ioana Bianca Chițu & Janez Mekinc, 2018. "Innovative Forms of Economy and Sustainable Urban Development—Sharing Tourism," Sustainability, MDPI, vol. 10(11), pages 1-18, October.

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    More about this item

    Keywords

    sharing economy; peer-to-peer marketplaces; Airbnb; attractiveness; tourism policy;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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