Advanced search
Publication Cover
Anatolia
An International Journal of Tourism and Hospitality Research
Volume 34, 2023 - Issue 4
Submit an article Journal homepage
109
Views
0
CrossRef citations to date
0
Altmetric
BOOK REVIEW

Chinese Outbound Tourist Behaviour: An International Perspective

edited by Jun Wen and Metin Kozak, London, UK, Routledge, 2022, 1–259 pp. £104.00 (paperback), ISBN: 9780367639181

Ke ZhangAsia-Pacific Academy of Economics and Management; Department of Integrated Resort and Tourism Management, University of Macau, Macao, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-7199-3757
ORCID Icon &
Rob LawAsia-Pacific Academy of Economics and Management; Department of Integrated Resort and Tourism Management, University of Macau, Macao, ChinaCorrespondence[email protected]
Pages 636-637 | Published online: 01 Aug 2023

Reference

  • Gao, J., Zeng, X., Zhang, C., & Porananond, P. (2022). Understanding the young middle-class Chinese outbound tourism consumption: A social practice perspective. Tourism Management, 92(October), 104555. https://doi.org/10.1016/j.tourman.2022.104555

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.