IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v15y2026i6p938-d1955151.html

Spatiotemporal Evolution and Pathway Identification of Cultural Tourism in the Yellow River Basin, China

Author

Listed:
  • Yingzhuo Zhang

    (School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Yan Zhang

    (Key Research Institute of Yellow River Civilisation and Sustainable Development & Collaborative Innovation Center of Yellow River Civilisation Provincial Co-Construction, Henan University, Kaifeng 475001, China)

  • Jing Chen

    (School of Architecture, Zhengzhou University, Zhengzhou 450001, China)

  • Changhong Miao

    (Key Research Institute of Yellow River Civilisation and Sustainable Development & Collaborative Innovation Center of Yellow River Civilisation Provincial Co-Construction, Henan University, Kaifeng 475001, China)

Abstract

Evaluating and identifying paths for cultural tourism development (CTD) in the Yellow River Basin (YRB) is crucial for establishing the Yellow River Cultural Tourism Belt in China. This study utilised Fuzzy-set Qualitative Comparative Analysis (fsQCA) to address the complex factors affecting CTD, unlike econometric approaches. An evaluation framework based on sustainable development and inclusive growth, consisting of 24 factors across three rule layers, was created to assess 78 cities in the YRB, China, using the entropy weight–TOPSIS method. Analysis with ArcGIS 10.5 revealed that from 2004 to 2019, CTD increased overall, with notable regional disparities: downstream and central regions thrived, while northern and southern regions lagged. High development followed three paths: policy-assisted consumer market-driven, economic investment-driven, and government-guided economic investment and innovation-driven development. Conversely, low development followed three paths: insufficient economic policies and innovation, deficient economy and consumer market, and insufficient economic and social investment. These findings could help develop sustainable cultural tourism in the birthplaces of global civilisations, specifically within the Chinese context.

Suggested Citation

  • Yingzhuo Zhang & Yan Zhang & Jing Chen & Changhong Miao, 2026. "Spatiotemporal Evolution and Pathway Identification of Cultural Tourism in the Yellow River Basin, China," Land, MDPI, vol. 15(6), pages 1-24, May.
  • Handle: RePEc:gam:jlands:v:15:y:2026:i:6:p:938-:d:1955151
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/15/6/938/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/15/6/938/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:gam:jlands:v:15:y:2026:i:6:p:938-:d:1955151. 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.