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“Airbnb in the City”: assessing short-term rental regulation in Bordeaux

Calum Robertson, Sylvain Dejean () and Raphaël Suire ()
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Calum Robertson: NUDD - Usages du Numérique pour le Développement Durable - ULR - La Rochelle Université, ULR - La Rochelle Université
Sylvain Dejean: ULR - La Rochelle Université, NUDD - Usages du Numérique pour le Développement Durable - ULR - La Rochelle Université
Raphaël Suire: LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris] - Nantes Univ - IAE Nantes - Nantes Université - Institut d'Administration des Entreprises - Nantes - Nantes Université - pôle Sociétés - Nantes Univ - Nantes Université - IUML - FR 3473 Institut universitaire Mer et Littoral - UM - Le Mans Université - UA - Université d'Angers - UBS - Université de Bretagne Sud - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - CNRS - Centre National de la Recherche Scientifique - Nantes Université - pôle Sciences et technologie - Nantes Univ - Nantes Université - Nantes Univ - ECN - École Centrale de Nantes - Nantes Univ - Nantes Université, Nantes Univ - Nantes Université

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Abstract: Short-term rental platforms, led by Airbnb, have disrupted the tourism accommodation industry over the last decade. This disruption has encouraged policy-makers to intervene. However, little is known about how effective such interventions are. This paper empirically evaluates the impact Bordeaux's regulation has had on short-term rental (STR) activity through both a differences-in-differences and a triple-difference design. We find that regulation has had a reductive effect of over 322 rented days per month per district on average. This equates to 43% of mean reservation days and over 28 thousand less nights spent per month in STRs across the city. This effect is persistent in peripheral areas of the city, with an average effect of 35% of monthly reservation days. However, the city's attempts to limit activity stemming from targeted (commercial) listings yields mixed results as non-targeted (home-sharing) listings also seem to have modified their behavior. Additionally, analysis in the periphery points paves the way for discussion about the effectiveness of one-size-fits-all STR policy design.

Keywords: Short-term rentals; Regulation; Tourism; Diff-in-diff methodology; Short-term rental Airbnb Regulation Tourism Housing Triple Difference Differences-indifferences; Short-term rental; Airbnb; Housing; Triple Difference; Differences-indifferences (search for similar items in EconPapers)
Date: 2023-03-26
New Economics Papers: this item is included in nep-pay, nep-reg, nep-tur and nep-ure
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Published in Annals of Regional Science, 2023, ⟨10.1007/s00168-023-01215-4⟩

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DOI: 10.1007/s00168-023-01215-4

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