Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74149
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dc.contributorSchool of Hotel and Tourism Management-
dc.creatorCao, Z-
dc.creatorLi, G-
dc.creatorSong, H-
dc.date.accessioned2018-03-29T07:16:16Z-
dc.date.available2018-03-29T07:16:16Z-
dc.identifier.issn0160-7383-
dc.identifier.urihttp://hdl.handle.net/10397/74149-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2017 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.subjectCo-movementen_US
dc.subjectEconomic interdependenceen_US
dc.subjectGlobal VARen_US
dc.subjectImpulse responseen_US
dc.subjectTourism demanden_US
dc.titleModelling the interdependence of tourism demand : the global vector autoregressive approachen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage13-
dc.identifier.volume67-
dc.identifier.doi10.1016/j.annals.2017.07.019-
dcterms.abstractThis study develops a global vector autoregressive (global VAR or GVAR) model to quantify the cross-country co-movements of tourism demand and simulate the impulse responses of shocks to the Chinese economy. The GVAR model overcomes the endogeneity and over-parameterisation issues found in many tourism demand models. The results show the size of co-movements in tourism demand across 24 major countries in different regions. In the event of negative shocks to China's real income and China's tourism price variable, almost all of these countries would face fluctuations in their international tourism demand and in their tourism prices in the short run. In the long run, developing countries and China's neighbouring countries would tend to be more negatively affected than developed countries.-
dcterms.accessRightsopen access-
dcterms.bibliographicCitationAnnals of tourism research, Nov. 2017, v. 67, p. 1-13-
dcterms.isPartOfAnnals of tourism research-
dcterms.issued2017-11-
dc.identifier.scopus2-s2.0-85026744179-
dc.identifier.eissn1873-7722-
dc.identifier.rosgroupid2017002889-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journal-
dc.description.validate201802 bcrc-
dc.description.oaAccepted Manuscript-
dc.identifier.FolderNumbera0681-n03-
dc.identifier.SubFormID882-
dc.description.fundingSourceRGC-
dc.description.fundingTextPolyU 5475/12H-
dc.description.pubStatusPublished-
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