IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v17y2008i7-8p677-687.html
   My bibliography  Save this article

Intelligent Machine Technology And Productivity Growth

Author

Listed:
  • David Leech
  • John Scott

Abstract

This paper provides preliminary estimates of the productivity impact of intelligent machine technology (IMT) and the rate of return to IMT research and development (R&D) over the next two decades. The paper adapts economists' traditional productivity growth model to enable the use of industrial experts' forecasts of a few key parameters of the model to form the estimates of productivity growth and rate of return. Respondents - from a sample of firms operating in IMT development and applications in the automotive, aerospace, and capital construction industries - anticipate that IMT will generate substantial productivity growth over the next two decades, and the estimated social rates of return to IMT R&D are substantial.

Suggested Citation

  • David Leech & John Scott, 2008. "Intelligent Machine Technology And Productivity Growth," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 17(7-8), pages 677-687.
    • Handle: RePEc:taf:ecinnt:v:17:y:2008:i:7-8:p:677-687
    DOI: 10.1080/10438590701785637
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/10438590701785637
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10438590701785637?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.

    Citations

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


    Cited by:

    1. Albert N. Link & John T. Scott, 2013. "The theory and practice of public-sector R&D economic impact analysis," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 2, pages 15-55, Edward Elgar Publishing.
    2. Link, Albert N. & Scott, John T., 2011. "The Theory and Practice of Public-Sector R&D Economic Impact Analysis: The Case of the National Institute of Standards and Technology," UNCG Economics Working Papers 11-16, University of North Carolina at Greensboro, Department of Economics.

    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:17:y:2008:i:7-8:p:677-687. 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/GEIN20 .

    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.