IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-194-4_42.html

An Empirical Study on the Financial Development, Industrial Structure and Urban Rural Integration Development in Tibet

In: Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)

Author

Listed:
  • Yanhong Gong

    (Tibet University, School of Finance and Economics)

  • Haiwei Wu

    (Tibet University, School of Finance and Economics)

Abstract

ABSTRACT Urban rural integration development has become a new development model between urban and rural areas in China. Digital inclusive finance and industrial structure have an important impact on promoting urban and rural integration development. Based on the vertical data of Tibet Autonomous Region from 2001 to 2021, this paper uses the intermediary effect model to empirically study the intermediary role of industrial structure in the impact of financial development on urban-rural integration. The results show that the financial development in Tibet can effectively promote the integration of urban and rural development, and the industrial structure has an intermediary effect in it. However, this intermediary effect exists in the form of financial development inhibiting the optimization and upgrading of industrial structure, and industrial structure change inhibiting the integration of urban and rural development. In view of this phenomenon, this paper believes that it is related to the level of financial development and the actual situation of industrial structure in Tibet, and puts forward corresponding analysis and reference.

Suggested Citation

  • Yanhong Gong & Haiwei Wu, 2023. "An Empirical Study on the Financial Development, Industrial Structure and Urban Rural Integration Development in Tibet," Advances in Economics, Business and Management Research, in: Sen Qiao & Hongbin Cao & Aiwen Liu & Xueliang Chen & Tiefei Li (ed.), Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022), pages 296-305, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-194-4_42
    DOI: 10.2991/978-94-6463-194-4_42
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-194-4_42. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.