Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/55084
Título: On the determinants of Airbnb location and its spatial distribution
Autores/as: Eugenio-Martin, Juan L. 
Cazorla Artiles, José Manuel 
González-Martel, Christian 
Clasificación UNESCO: 531290 Economía sectorial: turismo
Palabras clave: Airbnb
Peer-to-peer
Spatial correlation
Spatial econometrics
Tourism supply
Fecha de publicación: 2019
Proyectos: Evaluación Socioeconómica Del Impacto de la Nueva Era Digital Sobre El Turismo y El Transporte Aereo 
Publicación seriada: Tourism Economics 
Resumen: 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
Fuente: Tourism Economics [ISSN 1354-8166], v. 25 (8), p. 1224-1244
Colección:Artículos
miniatura
pdf
Adobe PDF (596,36 kB)
Vista completa

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.