Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/55084
Title: On the determinants of Airbnb location and its spatial distribution
Authors: Eugenio-Martin, Juan L. 
Cazorla Artiles, José Manuel 
González-Martel, Christian 
UNESCO Clasification: 531290 Economía sectorial: turismo
Keywords: Airbnb
Peer-to-peer
Spatial correlation
Spatial econometrics
Tourism supply
Issue Date: 2019
Project: Evaluación Socioeconómica Del Impacto de la Nueva Era Digital Sobre El Turismo y El Transporte Aereo 
Journal: Tourism Economics 
Abstract: This article explores Airbnb accommodation spatial distribution and it estimates the main determinants of its location choice. It employs spatial bivariate correlations and spatial econometrics to understand the heterogeneous spatial relationship between established hotels and Airbnb for three kinds of local tourism destinations: sun and beach, nature-based, and city. The case study concerns the Canary Islands where a good mixture of these attractions can be found. The main conclusion drawn is that Airbnb regulation needs to distinguish the kind of tourism. More precisely, Airbnb supply overlaps established hotels in city tourism, but it does not so clearly in sun and beach nor nature-based destinations. Airbnb supply matches tourist visits spatial distribution better than established hotels in city and nature-based destinations, but not in sun and beach destinations, where the incumbent hotels are closer to the tourism resources. Finally, the results from the spatial econometrics model shows that population size and the number of tourist visits matters as determinants of Airbnb location. However, the main determinant is price, which has got a much larger elasticity.
URI: http://hdl.handle.net/10553/55084
ISSN: 1354-8166
DOI: 10.1177/1354816618825415
Source: Tourism Economics [ISSN 1354-8166], v. 25 (8), p. 1224-1244
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