IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v61y2004i1d10.1023_bscie.0000037361.19404.a5.html
   My bibliography  Save this article

The evolving patterns of inter-industrial knowledge structure: Case of Korean manufacturing in the 1980s

Author

Listed:
  • Moon-soo Kim

    (Kangnung National University)

  • Yong-tae Park

    (Seoul National University)

Abstract

The notion of knowledge-based economy premises that technological knowledge be created, accumulated and disseminated through the interactive learning among principal actors in the national system. This paper analyzes, from a dynamic perspective, the structure of inter-industrial technological knowledge. Both human-driven disembodied channel and capital-driven embodied channel are investigated based on network analysis. The set of empirical data covers the Korean manufacturing sector during the 1980s. Overall, density of network tends to be increasing over time, implying that knowledge network becomes expanded and intensified. A number of distinctive features are identified between knowledge types and industrial categories. The findings in turn render important policy implications that should be addressed when developing technology policy. Clearly, the policy framework needs to be industry-specific and country-specific in accordance with the development stage and industrial structure of reference time.

Suggested Citation

  • Moon-soo Kim & Yong-tae Park, 2004. "The evolving patterns of inter-industrial knowledge structure: Case of Korean manufacturing in the 1980s," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 43-54, September.
  • Handle: RePEc:spr:scient:v:61:y:2004:i:1:d:10.1023_b:scie.0000037361.19404.a5
    DOI: 10.1023/B:SCIE.0000037361.19404.a5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/B:SCIE.0000037361.19404.a5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1023/B:SCIE.0000037361.19404.a5?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.

    References listed on IDEAS

    as
    1. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    2. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    3. Goto, Akira & Suzuki, Kazuyuki, 1989. "R&D Capital, Rate of Return on R&D Investment and Spillover of R&D in Japanese Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 555-564, November.
    4. Freeman, C., 1991. "Networks of innovators: A synthesis of research issues," Research Policy, Elsevier, vol. 20(5), pages 499-514, October.
    5. Leoncini, R. & Maggioni, M. A. & Montresor, S., 1996. "Intersectoral innovation flows and national technological systems: network analysis for comparing Italy and Germany," Research Policy, Elsevier, vol. 25(3), pages 415-430, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Hyukjoon Kim & Yongtae Park, 2008. "The impact of R&D collaboration on innovative performance in Korea: A Bayesian network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 535-554, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gamal Atallah, 2002. "Vertical R&D Spillovers, Cooperation, Market Structure, and Innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(3), pages 179-209.
    2. M. Ishaq Nadiri, 1993. "Innovations and Technological Spillovers," NBER Working Papers 4423, National Bureau of Economic Research, Inc.
    3. Aldieri, Luigi, 2011. "Knowledge spillovers and productivity in Italian manufacturing firms," MPRA Paper 35018, University Library of Munich, Germany.
    4. A. Fronzetti Colladon & B. Guardabascio & F. Venturini, 2023. "A new mapping of technological interdependence," Papers 2308.00014, arXiv.org, revised Sep 2024.
    5. Wakelin, Katharina, 1997. "Productivity growth and R & D expenditure in UK manufacturing firms," Research Memorandum 012, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    6. Christoph Meister & Bart Verspagen & Guntram B. Wolff, 2006. "European Productivity Gaps: Is R&D the Solution?," Chapters, in: Susanne Mundschenk & Michael H. Stierle & Ulrike Stierle-von Schütz & Iulia Traistaru-Siedschlag (ed.), Competitiveness and Growth in Europe, chapter 8, Edward Elgar Publishing.
    7. Lorenz, Steffi, 2015. "Diversität und Verbundenheit der unternehmerischen Wissensbasis: Ein neuartiger Messansatz mit Indikatoren aus Innovationsprojekten," Discussion Papers on Strategy and Innovation 15-01, Philipps-University Marburg, Department of Technology and Innovation Management (TIM).
    8. Sergey Lychagin & Joris Pinkse & Margaret E. Slade & John Van Reenen, 2016. "Spillovers in Space: Does Geography Matter?," Journal of Industrial Economics, Wiley Blackwell, vol. 64(2), pages 295-335, June.
    9. Fleischer, Manfred, 1998. "Patenting and industrial performance: the case of the machine tool industry," Discussion Papers, Research Unit: Market Dynamics FS IV 98-9, WZB Berlin Social Science Center.
    10. Maxim Kotsemir & Alexander Abroskin & Dirk Meissner, 2013. "Innovation concepts and typology – an evolutionary discussion," HSE Working papers WP BRP 05/STI/2013, National Research University Higher School of Economics.
    11. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    12. Daniel J. Wilson, 2002. "Is Embodied Technology the Result of Upstream R&D? Industry-Level Evidence," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 285-317, April.
    13. Dumont, Michel & Meeusen, Wim, 2000. "Knowledge spillovers through R&D cooperation," MPRA Paper 116454, University Library of Munich, Germany.
    14. G Cameron, 1996. "Innovation and Economic Growth," CEP Discussion Papers dp0277, Centre for Economic Performance, LSE.
    15. Michele Cincera, 2005. "Firms' productivity growth and R&D spillovers: An analysis of alternative technological proximity measures," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(8), pages 657-682.
    16. Wakelin, Katharine, 2001. "Productivity growth and R&D expenditure in UK manufacturing firms," Research Policy, Elsevier, vol. 30(7), pages 1079-1090, August.
    17. Martin Larsson, 2017. "EU Emissions Trading: Policy-Induced Innovation, or Business as Usual? Findings from Company Case Studies in the Republic of Croatia," Working Papers 1705, The Institute of Economics, Zagreb.
    18. Cristiano Antonelli & Francesco Crespi & Christian A. Mongeau Ospina & Giuseppe Scellato, 2017. "Knowledge composition, Jacobs externalities and innovation performance in European regions," Regional Studies, Taylor & Francis Journals, vol. 51(11), pages 1708-1720, November.
    19. Josef Taalbi, 2017. "Development blocks in innovation networks," Journal of Evolutionary Economics, Springer, vol. 27(3), pages 461-501, July.
    20. Attila Havas, 2016. "Social and Business Innovations: Are Common Measurement Approaches Possible?," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 10(2 (eng)), pages 58-80.

    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:spr:scient:v:61:y:2004:i:1:d:10.1023_b:scie.0000037361.19404.a5. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.