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THE VALUE OF LOCATION FOR AIRBNB APARTMENTS: A HEDONIC ANALYSIS OF AIRBNB LISTING PRICE IN BEIJING

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dc.contributor.authorGuo, Xinyi
dc.contributor.chairCarruthers, John
dc.contributor.committeeMemberShmoys, David B.
dc.date.accessioned2021-03-12T17:44:16Z
dc.date.available2021-03-12T17:44:16Z
dc.date.issued2020-08
dc.description75 pages
dc.description.abstractThis research examines the impacts of locational variables on the price of Airbnb listings. With a web-scraped sample of more than 10000 Airbnb units in Beijing, this research adopts the hedonic pricing theory as the theoretical approach and presents spatial econometric models of Airbnb apartments to test the effects. The results show that proximity to city center and airport have significant positive impacts on price whereas proximity to high-speed railway stations has significant negative impact on price. Though OLS model shows that the effects of proximity to subway stations and tourist spots are positive, these effects are not significant when spatial autocorrelation are considered in the regression models. These findings are useful for Airbnb hosts to form reasonable pricing strategies for their listings and also for P2P lodging platforms to conduct more in-depth analysis.
dc.identifier.doihttps://doi.org/10.7298/6s0s-zt49
dc.identifier.otherGuo_cornell_0058O_10956
dc.identifier.otherhttp://dissertations.umi.com/cornell:10956
dc.identifier.urihttps://hdl.handle.net/1813/103153
dc.language.isoen
dc.subjectAirbnb
dc.subjectHedonic model
dc.subjectSpatial econometrics
dc.titleTHE VALUE OF LOCATION FOR AIRBNB APARTMENTS: A HEDONIC ANALYSIS OF AIRBNB LISTING PRICE IN BEIJING
dc.typedissertation or thesis
dcterms.licensehttps://hdl.handle.net/1813/59810
thesis.degree.disciplineRegional Science
thesis.degree.grantorCornell University
thesis.degree.levelMaster of Science
thesis.degree.nameM.S., Regional Science

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