IDEAS home Printed from https://ideas.repec.org/a/ids/ijcome/v3y2013i1-2p64-82.html
   My bibliography  Save this article

Indigenous R%D effectiveness, technology transfer and productivity growth: evidence from the hi-tech industry of China

Author

Listed:
  • Ahmar Qasim Qazi
  • Zhao Yulin

Abstract

The study employs the panel data of 15 hi-tech industries over the period 2000-2010 to examine the effectiveness of R%D with respect to productivity change and to identify the significant contributing factors in the hi-tech sector of China. The Malmquist productivity indexes are calculated by using the non-parametric programming technique and the censored regression model is followed to conduct the empirical investigation. We find that, on average, the sector confronts the productivity deterioration, mainly owing to the technical inefficiency. The office equipment industry shows the optimal productivity gain in our sample at an average rate of 3.7% per annum mainly owing to the technical change. Furthermore, the Electronic Components Industry is found to be the most efficient industry in the sector, showing productivity progress on an average rate of 1.7% per year over the study period. Lastly, the Tobit model results convincingly indicate that spillovers through foreign direct investment (FDI) and technology import have significantly positive effect on the productivity progress.

Suggested Citation

  • Ahmar Qasim Qazi & Zhao Yulin, 2013. "Indigenous R%D effectiveness, technology transfer and productivity growth: evidence from the hi-tech industry of China," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 3(1/2), pages 64-82.
  • Handle: RePEc:ids:ijcome:v:3:y:2013:i:1/2:p:64-82
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=56269
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijcome:v:3:y:2013:i:1/2:p:64-82. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=311 .

    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.