Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/88962
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dc.contributorSchool of Hotel and Tourism Management-
dc.creatorWu, F-
dc.creatorZhang, Q-
dc.creatorLaw, R-
dc.creatorZheng, T-
dc.date.accessioned2021-01-15T07:14:25Z-
dc.date.available2021-01-15T07:14:25Z-
dc.identifier.urihttp://hdl.handle.net/10397/88962-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Wu, F.; Zhang, Q.; Law, R.; Zheng, T. Fluctuations in Hong Kong Hotel Industry Room Rates under the 2019 Novel Coronavirus (COVID-19) Outbreak: Evidence from Big Data on OTA Channels. Sustainability 2020, 12, 7709 is available at https://dx.doi.org/10.3390/su12187709en_US
dc.subjectBig dataen_US
dc.subjectCOVID-19en_US
dc.subjectHong kongen_US
dc.subjectHotel industryen_US
dc.subjectPrice fluctuationen_US
dc.titleFluctuations in Hong Kong hotel industry room rates under the 2019 novel coronavirus (COVID-19) outbreak : evidence from big data on OTA channelsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage17-
dc.identifier.volume12-
dc.identifier.issue18-
dc.identifier.doi10.3390/su12187709-
dcterms.abstractThe infectious pneumonia caused by the 2019 novel coronavirus (COVID-19) has spread rapidly worldwide, crippling the global tourism industry's development and operations. In Hong Kong, where tourism is a pillar industry, the hotel industry is essential to maintaining a stable economy. Facing multiple forms of pressure, the industry's status deserves close attention. More than 200 hotels in Hong Kong were taken as the research set in this study. A Python-based web crawler was used to collect daily hotel prices from various online travel agencies. Repeated-measures analysis of variance (ANOVA), correlation analysis, and descriptive analysis were employed to study hotels' room rate fluctuations over time.-
dcterms.abstractResults indicated that room rates across hotels in Hong Kong were primarily influenced by holidays and festivities prior to COVID-19, whereas rates tended to decline after the outbreak. Data analysis based on hotels' star ratings revealed that 5-star hotels were relatively less affected by COVID-19 while 4- and 4.5-star hotels were most seriously affected. District-level analysis also showed that hotel room rates were differentially influenced by the virus: Hong Kong's Islands district was hit hardest, followed by Kowloon. These findings offer valuable implications for hotel managers and relevant government departments in making rational decisions based on the current market state.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSustainability, 2 Sept. 2020, v. 12, no. 18, 7709, p. 1-17-
dcterms.isPartOfSustainability-
dcterms.issued2020-09-02-
dc.identifier.scopus2-s2.0-85091232228-
dc.identifier.eissn2071-1050-
dc.identifier.artn7709-
dc.description.validate202101 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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