Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107077
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorSchool of Hotel and Tourism Management-
dc.creatorWu, H-
dc.creatorZhang, H-
dc.creatorSong, H-
dc.date.accessioned2024-06-12T05:52:48Z-
dc.date.available2024-06-12T05:52:48Z-
dc.identifier.issn0966-9582-
dc.identifier.urihttp://hdl.handle.net/10397/107077-
dc.language.isoenen_US
dc.publisherRoutledgeen_US
dc.rights© 2024 the Author(s). Published by Informa UK Limited, trading as Taylor & Francis Groupen_US
dc.rightsThis is an open access article distributed under the terms of the Creative Commons attribution-nonCommercial-noDerivatives license (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, providedthe original work is properly cited, and is not altered, transformed, or built upon in any way. the terms on which this article has beenpublished allow the posting of the accepted manuscript in a repository by the author(s) or with their consent.en_US
dc.rightsThe following publication Wu, H., Zhang, H., & Song, H. (2024). Are Chinese willing to pay for travel carbon offset products? Journal of Sustainable Tourism, 1–22 is available at https://doi.org/10.1080/09669582.2024.2336493.en_US
dc.subjectCarbon offseten_US
dc.subjectDecarbonisationen_US
dc.subjectDiscrete choice experimenten_US
dc.subjectHybrid choice modelen_US
dc.subjectWillingness to payen_US
dc.titleAre Chinese willing to pay for travel carbon offset products?en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1080/09669582.2024.2336493-
dcterms.abstractThis study explored tourists’ preferences and willingness to pay for travel carbon offset (TCO) products using a hybrid choice model (HCM). This model integrates a mixed multinomial logit model (MMNL) and a latent variable model (LVM) to facilitate the exploration of preference heterogeneity among tourists by incorporating individual psychological constructs. The key empirical results were as follows: (1) the respondents were more likely to purchase a TCO product when they were provided with both TCO and opt-out options; the respondents were willing to pay ¥108 (about US$15.88) for an optimal TCO product for 1-tonne travel carbon emissions; (2) tourists’ preferences for TCO products were influenced by offset- and travel-related factors, including offset quantity, project locations and types, TCO providers and payment time; and (3) green trust and socio-demographic characteristics influenced the respondents’ preferences for TCO products. Through this study, we extend the literature on global warming mitigation, pro-environmental behaviour and discrete choice modelling. Our empirical results can be used by tourism businesses to understand tourists’ demands for TCO products and to provide specific recommendations for developing decarbonisation products.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of sustainable tourism, Published online: 08 Apr 2024, Latest Articles, https://doi.org/10.1080/09669582.2024.2336493-
dcterms.isPartOfJournal of sustainable tourism-
dcterms.issued2024-
dc.identifier.scopus2-s2.0-85190284052-
dc.identifier.eissn1747-7646-
dc.description.validate202406 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera2802en_US
dc.identifier.SubFormID48409en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextMr and Mrs Chan Chak Fu Endowed Professorship Funden_US
dc.description.pubStatusEarly releaseen_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Wu_Chinese_Willing_Pay.pdf2.56 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

7
Citations as of Jun 30, 2024

Downloads

5
Citations as of Jun 30, 2024

SCOPUSTM   
Citations

1
Citations as of Jun 21, 2024

WEB OF SCIENCETM
Citations

1
Citations as of Jun 27, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.