IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v27y2018i3p243-253.html
   My bibliography  Save this article

A measure of total factor productivity with biased technological change

Author

Listed:
  • Christophe Feder

Abstract

The paper presents a new measure of total factor productivity (TFP) that also takes into account the effect of biased technological change. With this methodology, we can distinguish the effects resulting from the introduction of neutral or biased technological change on TFP, called neutral factor productivity and biased factor productivity (BFP), respectively. The new measure of TFP also holds in extreme cases where only the effect of neutral/biased technological change is presented. In particular, the BFP component increases (decreases) when the productivity of the cheaper (more expensive) factor increases. Moreover, the TFP holds up to the modification of both units of measure and to the costs of factors. Finally, the intensity of the BFP is independent of the direction of the technological change.

Suggested Citation

  • Christophe Feder, 2018. "A measure of total factor productivity with biased technological change," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(3), pages 243-253, April.
  • Handle: RePEc:taf:ecinnt:v:27:y:2018:i:3:p:243-253
    DOI: 10.1080/10438599.2017.1329697
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10438599.2017.1329697
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christophe Feder, 2018. "Smart Specialization Strategy and Directed Technological Change," Economics Bulletin, AccessEcon, vol. 38(3), pages 1428-1437.
    2. Antonelli, Cristiano & Feder, Christophe & Quatraro, Francesco, 2018. "Directed Technological Change and Technological Congruence: A New Framework for the Smart Specialization Strategy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201805, University of Turin.
    3. Feder, Christophe & Kataishi, Rodrigo Ezequiel, 2017. "Decentralization in Heterogeneous Regions: A Biased Technological Change Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201703, University of Turin.
    4. Yan He & Yung-ho Chiu & Bin Zhang, 2020. "Prevaluating Technical Efficiency Gains From Potential Mergers and Acquisitions in China’s Coal Industry," SAGE Open, , vol. 10(3), pages 21582440209, July.

    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:ecinnt:v:27:y:2018:i:3:p:243-253. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/GEIN20 .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.