IDEAS home Printed from https://ideas.repec.org/a/bla/ausecp/v58y2019i3p280-293.html
   My bibliography  Save this article

What determines the productivity growth? Evidence from Chinese renewable energy firms by using Bayesian stochastic frontier approach

Author

Listed:
  • Mingshan Li
  • XiaoHua Sun

Abstract

This paper examines the determinants of the total factor productivity (TFP) growth of Chinese renewable energy firms from 2011 to 2016, using a Bayesian stochastic frontier approach. Employing the “Bauer–Kumbhakar” decomposition method, the TFP growth is decomposed into the technology part and the market part. The empirical results reveal that the TFP improvement of Chinese renewable energy firms is mainly due to technical progress, followed by technical efficiency change. With regard to the market part, the misallocation of production factors has hindered the TFP growth. Our findings also indicate that only for large firms, the TFP growth can benefit from the scale economy effect. Compared with non‐state‐owned firms, state‐owned firms suffer much lower allocative efficiency.

Suggested Citation

  • Mingshan Li & XiaoHua Sun, 2019. "What determines the productivity growth? Evidence from Chinese renewable energy firms by using Bayesian stochastic frontier approach," Australian Economic Papers, Wiley Blackwell, vol. 58(3), pages 280-293, September.
    • Handle: RePEc:bla:ausecp:v:58:y:2019:i:3:p:280-293
    DOI: 10.1111/1467-8454.12154
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-8454.12154
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1467-8454.12154?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
    ---><---

    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:bla:ausecp:v:58:y:2019:i:3:p:280-293. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0004-900X .

    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.