IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v24y2021i10p1358-1374.html
   My bibliography  Save this article

Agglomeration and/or differentiation at regional scale? Geographic spatial thinking of hotel distribution – a case study of Guangdong, China

Author

Listed:
  • Lei Fang
  • Yujing Xie
  • Shenjun Yao
  • Ting Liu

Abstract

This study is among the first attempts to understand hotel location choice by developing a spatial framework based on spatial autocorrelation to investigate hotel pattern. By taking Guangdong Province, China as the study context, this research analyzes the differentiation and agglomeration effects of star-rated hotels in terms of absolute number and density at the county level with Local Moran’s I. The spatially diverse relationships between 13 factors and the number of star-rated hotels were quantified by regions classified by the Local Moran’s I. Results indicate that (1) counties with positive agglomeration were located south of the Pearl River Delta; (2) factors influencing hotel location choice varied across regions; and (3) attractions and urbanization do not always affect hotel location choices.

Suggested Citation

  • Lei Fang & Yujing Xie & Shenjun Yao & Ting Liu, 2021. "Agglomeration and/or differentiation at regional scale? Geographic spatial thinking of hotel distribution – a case study of Guangdong, China," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(10), pages 1358-1374, May.
  • Handle: RePEc:taf:rcitxx:v:24:y:2021:i:10:p:1358-1374
    DOI: 10.1080/13683500.2020.1792852
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2020.1792852
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13683500.2020.1792852?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:24:y:2021:i:10:p:1358-1374. 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.