On the determinants of Airbnb location and its spatial distribution

Eugenio Martín, Juan L. ^[1] ; José M Cazorla-Artiles ^[1] ; González Martel, Christian ^[1]
1. [1] Universidad de Las Palmas de Gran Canaria
  
  Universidad de Las Palmas de Gran Canaria
  
  Gran Canaria, España
Localización: Tourism economics: the business and finance of tourism and recreation, ISSN 1354-8166, Vol. 25, Nº. Extra 8, 2019 (Ejemplar dedicado a: Special issue: Spatial Economics and Tourism Development), págs. 1224-1244
Idioma: inglés
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Resumen
- This article explores Airbnb accommodation spatial distribution and it estimates the maindeterminants of its location choice. It employs spatial bivariate correlations and spatial econo-metrics to understand the heterogeneous spatial relationship between established hotels andAirbnb for three kinds of local tourism destinations: sun and beach, nature-based, and city. Thecase 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. Moreprecisely, Airbnb supply overlaps established hotels in city tourism, but it does not so clearly in sunand beach nor nature-based destinations. Airbnb supply matches tourist visits spatial distributionbetter than established hotels in city and nature-based destinations, but not in sun and beachdestinations, where the incumbent hotels are closer to the tourism resources. Finally, the resultsfrom the spatial econometrics model shows that population size and the number of tourist visitsmatters as determinants of Airbnb location. However, the main determinant is price, which has gota much larger elasticity.