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Price Determinants of Airbnb Listings: Evidence from Hong Kong

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Price determinants of Airbnb listings is still in its infancy and Asian markets are underexplored. Based on existing literature, this article examines the impacts of five groups of explanatory variables on Airbnb price in Hong Kong: listing attributes, host attributes, rental policies, listing reputation, and listing location. Hedonic price regression highlights that: (a) compared with previous studies, the effect of room type on Airbnb price is exceptionally high in Hong Kong, due to the "the luxury of spaciousness" in this overpopulated city; (b) contradictory to previous findings, hosts' listings count have a negative effect on Airbnb listing price in Hong Kong, which can be explained by external (Hong Kong's fiercely competitive environment for multilisting Airbnb hosts) and internal (multilisting hosts' trade-off between booking opportunity and listing price) factors; (c) in Hong Kong, only low-end Airbnb rentals benefit from locational factors, indicating the heterogeneous effects of location on Airbnb pricing. These findings shed new light from previous studies and the authors provide possible explanations from theoretical and practical perspectives.
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Keywords: AIRBNB; HEDONIC PRICE MODEL; HONG KONG; HOSPITALITY INDUSTRY; SHARING ECONOMY

Document Type: Research Article

Publication date: May 15, 2019

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  • The aim of Tourism Analysis is to promote a forum for practitioners and academicians in the fields of Leisure, Recreation, Tourism, and Hospitality (LRTH). As a interdisciplinary journal, it is an appropriate outlet for articles, research notes, and computer software packages designed to be of interest, concern, and of applied value to its audience of professionals, scholars, and students of LRTH programs the world over.
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