IDEAS home Printed from https://ideas.repec.org/a/taf/rjapxx/v27y2022i4p682-714.html
   My bibliography  Save this article

Corporate governance and firms’ efficiency in China’s manufacturing listed companies from dynamic perspectives

Author

Listed:
  • Yan He
  • Yung-ho Chiu
  • Bin Zhang

Abstract

This research applies the dynamic slack-based measure (DSBM) model to evaluate the dynamic efficiency of manufacturing companies in the long run and uses the Censored Least Absolute Deviations (CLAD) model to analyze the effect of corporate governance on their overall efficiency and the efficiency of each input factor. We find the following main results. First, overall efficiency of the manufacturing industry listed companies is low. 2) Debt efficiency is lower than the efficiency of shareholders’ equity and exhibits a downward trend. 3) Labor efficiency is the lowest among all inputs. 4) The efficiency of the medicine and bio-products industry is the highest, while the efficiency of the paper and printing industry (which causes serious pollution) is the lowest. 5) Companies with low export intensity and high capital intensity are the most efficient, while companies with high export intensity and low capital intensity are the least efficient. 6) Ownership concentration and efficiency have a significantly positive U-shape relationship. 7) Board size and efficiency have a significantly inverted U-shape relationship. 8) An actual controller with a state-owned nature has a significantly negative impact on efficiency. 9) Executive compensation, equity incentive, and institutional ownership have a significantly positive impact on efficiency.

Suggested Citation

  • Yan He & Yung-ho Chiu & Bin Zhang, 2022. "Corporate governance and firms’ efficiency in China’s manufacturing listed companies from dynamic perspectives," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 27(4), pages 682-714, October.
  • Handle: RePEc:taf:rjapxx:v:27:y:2022:i:4:p:682-714
    DOI: 10.1080/13547860.2020.1854643
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13547860.2020.1854643
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13547860.2020.1854643?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:taf:rjapxx:v:27:y:2022:i:4:p:682-714. 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/rjap .

    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.