IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v35y2022i1p6037-6066.html
   My bibliography  Save this article

The characteristics of local government debt governance: evidence from qualitative and social network analysis of Chinese policy texts

Author

Listed:
  • Xing Li
  • Yanli Zhou
  • Shuai Liu
  • Xiangyu Ge

Abstract

This paper takes 66 local government debt governance policy texts from 2009 to 2019 as sample, and constructs an analysis framework of ‘target debt - management measures - mechanism guarantee’, derives up with identifying the characteristics of determining local government debt governance in China. The results show as follow: (i) It attaches more importance to the policy design of ‘borrowing’, ‘repayment’ and ‘management’ on local government debt instead of the ‘usage’ in China. (ii) The evidence supports the relatively average coding distribution of each policy, but the content is quite different. (iii) It manifests the new development value of ‘people-oriented’ and the concept of collaborative governance in the policy design. (iv) It has formed a ‘centre-edge’ model for the governance of the local government debt. This paper provides a new perspective for the study of the problems of local government debt governance, and puts forward policy recommendations for improving the governance of the local government debt.

Suggested Citation

  • Xing Li & Yanli Zhou & Shuai Liu & Xiangyu Ge, 2022. "The characteristics of local government debt governance: evidence from qualitative and social network analysis of Chinese policy texts," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 6037-6066, December.
  • Handle: RePEc:taf:reroxx:v:35:y:2022:i:1:p:6037-6066
    DOI: 10.1080/1331677X.2022.2044881
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2022.2044881
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1331677X.2022.2044881?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Lei & Sha, Yifan & Ding, Lili & Zhao, Zhongchao, 2024. "Risk mitigation strategies in urban investment bonds: Insights from local government implicit debt governance," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 607-618.

    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:reroxx:v:35:y:2022:i:1:p:6037-6066. 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/rero .

    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.