IDEAS home Printed from https://ideas.repec.org/a/taf/glecrv/v43y2014i2p131-152.html
   My bibliography  Save this article

Interindustry Knowledge Transfer and Absorption via Two Channels: The Case of Korea

Author

Listed:
  • Won-Sik Hwang
  • Jeong-Dong Lee

Abstract

This paper investigates interindustry knowledge spillovers using input-output (IO) data and patent information, since spillovers can arise from different types of sources and linkages. Economic transactions of intermediate goods are used to track embodied knowledge flows with the data derived from Korean IO tables. In terms of disembodied knowledge flows, a technology proximity matrix is constructed using patent information. The empirical results show that patterns of interdependences among industries are different and this implies that policy-makers should take into account the interdependences between industries even when planning industry-specific policies. Moreover, excessive concentration of R&D investment needs to be improved.

Suggested Citation

  • Won-Sik Hwang & Jeong-Dong Lee, 2014. "Interindustry Knowledge Transfer and Absorption via Two Channels: The Case of Korea," Global Economic Review, Taylor & Francis Journals, vol. 43(2), pages 131-152, June.
    • Handle: RePEc:taf:glecrv:v:43:y:2014:i:2:p:131-152
    DOI: 10.1080/1226508X.2014.920239
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1226508X.2014.920239
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1226508X.2014.920239?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. Pham Thi Minh Ly & Wen-Hsiang Lai, 2017. "Fuzzy AHP Analysis of Firm-Level Knowledge Accumulation," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 1-24, September.
    2. Hiroshi Someda & Takanori Akagi & Yuya Kajikawa, 2022. "An analysis of the spillover effects based on patents and inter-industrial transactions for an emerging blockchain technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4299-4314, August.
    3. Jung, Sungmoon & Lee, Jeong-Dong & Hwang, Won-Sik & Yeo, Yeongjun, 2017. "Growth versus equity: A CGE analysis for effects of factor-biased technical progress on economic growth and employment," Economic Modelling, Elsevier, vol. 60(C), pages 424-438.

    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:glecrv:v:43:y:2014:i:2:p:131-152. 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/RGER20 .

    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.