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Measuring the knowledge base of an economy in terms of triple-helix relations among 'technology, organization, and territory'

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  • Leydesdorff, Loet
  • Dolfsma, Wilfred
  • Van der Panne, Gerben

Abstract

The interrelationships among technology, organization, and territory in an economic system have been considered as a 'holy trinity' from the perspective of regional development studies. The mutual information in three dimensions was proposed as an indicator of the surplus value (entropy) in triple-helix configurations. When this probabilistic entropy is negative, the configuration reduces the uncertainty that prevails at the systems level. Data about more than a million Dutch companies were used for testing this indicator. This data contain postal codes (geography), sector codes (proxy of technology), and firm sizes in terms of number of employees (proxy of organization). The knowledge base is mapped at three levels: national (NUTS-1), provincial (NUTS-2), and regional (NUTS-3). The levels can be cross-tabled with the knowledge-intensive sectors and services. The results suggest that medium-tech sectors contribute to the knowledge base of an economy more than high-tech ones. Knowledge-intensive services have an uncoupling effect, but less so at the high-tech end of these services.

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Bibliographic Info

Article provided by Elsevier in its journal Research Policy.

Volume (Year): 35 (2006)
Issue (Month): 2 (March)
Pages: 181-199

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Handle: RePEc:eee:respol:v:35:y:2006:i:2:p:181-199

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  1. Dolfsma, Wilfred, 2005. "Towards a dynamic (Schumpeterian) welfare economics," Research Policy, Elsevier, vol. 34(1), pages 69-82, February.
  2. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
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  4. Loet Leydesdorff & Henry Etzkowitz, 1998. "The Triple Helix as a model for innovation studies," Science and Public Policy, Oxford University Press, vol. 25(3), pages 195-203, June.
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Citations

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Cited by:
  1. Wilfred Dolfsma & Loet Leydesdorff, 2008. "Innovation Systems as Patent Networks," Working Papers id:1651, eSocialSciences.
  2. repec:cmj:networ:y:2013:i:1:p:33-41 is not listed on IDEAS
  3. W.A. Dolfsma & G. van der Panne, 2007. "Innovations from SMEs or large firms? : sector structure and dynamics," Working Papers 07-30, Utrecht School of Economics.
  4. Leydesdorff, Loet & Fritsch, Michael, 2005. "Measuring the Knowledge Base of Regional Innovation Systems in Germany in terms of a Triple Helix Dynamics," Freiberg Working Papers 2005,10, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
  5. Marina Ranga & Cecile Hoareau & Niccolo Durazzi & Henry Etzkowitz & Pamela Marcucci & Alex Usher, 2013. "Study on university-business cooperation in the US," LSE Research Online Documents on Economics 55424, London School of Economics and Political Science, LSE Library.
  6. Welch, P. & Dolfsma, W.A., 2004. "How To Be Better Prepared For A Paradigm Shift In Economic Theory, And Write Better Articles In The Meantime," ERIM Report Series Research in Management ERS-2004-101-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
  7. Kim, Younghwan & Kim, Wonjoon & Yang, Taeyong, 2012. "The effect of the triple helix system and habitat on regional entrepreneurship: Empirical evidence from the U.S," Research Policy, Elsevier, vol. 41(1), pages 154-166.
  8. Elias Carayannis & Ruslan Rakhmatullin, 2014. "The Quadruple/Quintuple Innovation Helixes and Smart Specialisation Strategies for Sustainable and Inclusive Growth in Europe and Beyond," Journal of the Knowledge Economy, Springer, vol. 5(2), pages 212-239, June.
  9. Lengyel, Balázs & Leydesdorff, Loet, 2008. "A magyar gazdaság tudásalapú szerveződésének mérése. Az innovációs rendszerek szinergiáinak térbelisége
    [Measuring the knowledge base of the Hungarian economy: spatial characteristics
    ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 522-547.
  10. Rune Fitjar & Andrés Rodríguez-Pose, 2013. "The geographical dimension of innovation collaboration: Collaboration and innovation in Norway," ERSA conference papers ersa13p878, European Regional Science Association.
  11. Dolfsma, W.A. & van der Panne, G., 2006. "Currents and Sub-currents in the River of Innovations - Explaining Innovativeness using New-Product Announcements," ERIM Report Series Research in Management ERS-2006-036-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
  12. Alina HAGIU & Marinela TANASCOVICI, 2013. "Competitive Intelligence In The Knowledge-Based Organisation," Network Intelligence Studies, Fundația Română pentru Inteligența Afacerii, Editorial Department, issue 1, pages 44-53, July.

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