IDEAS home Printed from https://ideas.repec.org/a/kea/keappr/ker-200106-17-1-10.html
   My bibliography  Save this article

Endogenous Growth Without Scale Effects in a Process Innovation Model

Author

Listed:
  • Yong-Sang Shyn

    (Korea Institute of Industrial Technology Evaluation and Planning)

Abstract

One of the key issues related to the endogenous growth models based on R&D is whether the long-run economic growth rate is endogenously or semi-endogenously determined. This paper extends this debate to another type of endogenous growth model, a process innovation model with learning-by-doing in the production of new technology. The model supports the semi-endogeneity of long-run economic growth and the effectiveness of public policy on economic welfare. The driving forces of these results are the negative externality of past successful innovation in the production of new technology and the public good property of new technology.

Suggested Citation

  • Yong-Sang Shyn, 2001. "Endogenous Growth Without Scale Effects in a Process Innovation Model," Korean Economic Review, Korean Economic Association, vol. 17, pages 163-182.
    • Handle: RePEc:kea:keappr:ker-200106-17-1-10
    as

    Download full text from publisher

    File URL: http://keapaper.kea.ne.kr/RePEc/kea/keappr/KER-200106-17-1-10.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    knowledge; learning-by-doing; process innovation; scale effects; semi-endogenous growth;
    All these keywords.

    JEL classification:

    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    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:kea:keappr:ker-200106-17-1-10. 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: KEA (email available below). General contact details of provider: https://edirc.repec.org/data/keaaaea.html .

    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.