IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v50y2018i47p5076-5093.html
   My bibliography  Save this article

Does R&D spur productivity growth in Australia’s broadacre agriculture? A semi-parametric smooth coefficient approach

Author

Listed:
  • Farid Khan
  • Ruhul Salim
  • Kai Sun

Abstract

This article analyses the role of research and development (R&D) in Australia’s broadacre farming by using the semi-parametric smooth coefficient model. While the conventional production function approach only captures the direct effects of R&D, this methodology captures both the direct impact of a change in R&D on output and the indirect impact through changes in efficiency of use of factor inputs in the production process. Moreover, technical inefficiency is introduced in the model allowing it as a function of R&D. Using a unique state-level dataset covering the period 1995–2007, this empirical study finds that once both the direct and indirect effects are taken into consideration, R&D investments significantly increase outputs. The results also show that there are substantial variations in the effects of R&D on output across the state-level average farm through technology parameters as well as through technical inefficiency. Such variations need to be taken into account when designing policies for investing public R&D in agriculture.

Suggested Citation

  • Farid Khan & Ruhul Salim & Kai Sun, 2018. "Does R&D spur productivity growth in Australia’s broadacre agriculture? A semi-parametric smooth coefficient approach," Applied Economics, Taylor & Francis Journals, vol. 50(47), pages 5076-5093, October.
    • Handle: RePEc:taf:applec:v:50:y:2018:i:47:p:5076-5093
    DOI: 10.1080/00036846.2018.1470316
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2018.1470316
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2018.1470316?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:applec:v:50:y:2018:i:47:p:5076-5093. 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/RAEC20 .

    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.