IDEAS home Printed from https://ideas.repec.org/a/mes/chinec/v56y2023i5p366-383.html
   My bibliography  Save this article

Impact of Structural Distortions on Resource Allocation in China: Evidence from an Innovative Empirical Model

Author

Listed:
  • Yiran Chen
  • Yidong Li
  • George Lodorfos
  • Junjie Wu

Abstract

This paper examines the impact of structural distortions on resource allocation among industries, regions (provinces), and ownerships in China, using data from 2003 to 2019. This paper innovatively develops an empirical model to measure multi-dimensional structural distortions and assesses the resource misallocation degrees regarding industries, regions, and ownerships. The results indicate that China’s most serious resource misallocation is related to industries, followed by regions and ownerships, and the most severe capital misallocation is associated with ownership, and labor misallocation exists in industries. The present study contributes to the literature by creating an innovative two-layer empirical model to address the limitations of Hsieh and Klenow’s model. The findings have identified which group (industry, region, and ownership) is excessive or insufficient in resource usage, and the results have profound policy and practical implications.

Suggested Citation

  • Yiran Chen & Yidong Li & George Lodorfos & Junjie Wu, 2023. "Impact of Structural Distortions on Resource Allocation in China: Evidence from an Innovative Empirical Model," Chinese Economy, Taylor & Francis Journals, vol. 56(5), pages 366-383, September.
  • Handle: RePEc:mes:chinec:v:56:y:2023:i:5:p:366-383
    DOI: 10.1080/10971475.2023.2173396
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10971475.2023.2173396
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10971475.2023.2173396?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:mes:chinec:v:56:y:2023:i:5:p:366-383. 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/MCES20 .

    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.