IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v25y2022i10p1607-1626.html
   My bibliography  Save this article

Tourism, transport infrastructure and income inequality: A panel data analysis of China

Author

Listed:
  • Jiekuan Zhang
  • Yan Zhang

Abstract

This study investigated the dynamic relationship between tourism, transport infrastructure, and income inequality using the novel panel data of China over 2000–2018. The results show the bidirectional Granger causality between highway and tourism and a unidirectional Granger causality running from railway to tourism for the national sample. Tourism significantly affects China's income inequality; however, this impact is minimal. Besides, tourism and transport infrastructure have a synergy effect on China's income inequality. Given the importance of tourism and transport infrastructure to economic growth in many developing countries, this study is conducive to broader debates over the role of transport infrastructure in tourism-induced inclusive growth in its policy implications for national development strategies and equitable development.

Suggested Citation

  • Jiekuan Zhang & Yan Zhang, 2022. "Tourism, transport infrastructure and income inequality: A panel data analysis of China," Current Issues in Tourism, Taylor & Francis Journals, vol. 25(10), pages 1607-1626, May.
    • Handle: RePEc:taf:rcitxx:v:25:y:2022:i:10:p:1607-1626
    DOI: 10.1080/13683500.2021.1928012
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2021.1928012
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13683500.2021.1928012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:rcitxx:v:25:y:2022:i:10:p:1607-1626. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rcit .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.