IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i5p680-d1394007.html
   My bibliography  Save this article

Coupling Coordination Analysis of County Tourism Development and Multidimensional Poverty Based on Nighttime Light Data

Author

Listed:
  • Hai Xiao

    (College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611800, China)

  • Jiahao Yu

    (College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611800, China)

  • Yifan Zhang

    (College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611800, China)

  • Chuliang Xin

    (College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611800, China)

  • Jiangjun Wan

    (College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611800, China)

  • Xiaohong Tang

    (College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611800, China)

Abstract

In China, tourism development is a crucial approach to poverty alleviation. With the consolidation of poverty alleviation achievements and the promotion of rural revitalization, it is of great significance to explore the relationship between tourism development and poverty alleviation from the perspective of multidimensional poverty. Therefore, this study took 28 key assistance counties for rural revitalization in the Sichuan–Chongqing region (hereinafter referred to as “key counties”) as the research objects, introduced NPP-VIIRS nighttime light (NTL) data, and a coupling coordination degree (CCD) model to explore the coordination relationship and mechanism between them. The results showed that from 2015 to 2020, the tourism development index (TDI) and estimated comprehensive development index (ECDI) of the key counties increased by 112.57% and 115.12%, respectively. In addition, the spatial differences in tourism development and multidimensional poverty both showed a narrowing trend. According to the results of the CCD model, the key counties basically faced coordination obstacles in the early stage, which were mainly transformed into reluctant coordination and moderate coordination in the later stage. This indicated that tourism poverty alleviation showed a coordinated development trend overall. However, the study also found that there may not be synchronicity between tourism development and poverty alleviation and analyzed the mechanism of their interaction. Overall, the study confirmed the positive impact of tourism development on alleviating multidimensional poverty. In addition, the study found that measuring multidimensional poverty based on NTL data has a high accuracy and can provide support for poverty research. These research results have an important reference value for China to carry out sustainable tourism poverty alleviation and comprehensively promote rural revitalization.

Suggested Citation

  • Hai Xiao & Jiahao Yu & Yifan Zhang & Chuliang Xin & Jiangjun Wan & Xiaohong Tang, 2024. "Coupling Coordination Analysis of County Tourism Development and Multidimensional Poverty Based on Nighttime Light Data," Land, MDPI, vol. 13(5), pages 1-22, May.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:680-:d:1394007
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/5/680/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/5/680/
    Download Restriction: no
    ---><---

    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:gam:jlands:v:13:y:2024:i:5:p:680-:d:1394007. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.