Abstract
ABSTRACT This study aims to examine the relationship between hosts’ facial features and Airbnb listing prices alongside other house attributes. We use a spatial hedonic pricing model to analyze 1,411 Airbnb listings in Shanghai, China. The results show that intrinsic functional attributes of listings are the dominant factors of price, followed by host attributes (especially host facial features such as facial width-to-height ratio). Specifically, the lower a host’s facial width-to-height ratio is, the higher the listing price. In addition, the results from concentric ring areas vary within the same city. This study contributes new insights into pricing in shared accommodations.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
