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

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  • 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
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    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.

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