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The Odd Role Of Proximity In Knowledge Relations - High-Tech In The Netherlands

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  • van der Panne, G.
  • Dolfsma, W.A.

Abstract

In contrast to findings in other countries, and surprisingly in view of the literature, high tech economic activity in the Netherlands is not spread geographically according to either relevant labour market characteristics or because of localized agglomeration effects. Instead, statistical analysis shows that the Netherlands is an urban field, and that the knowledge infrastructure is the only variable to significantly explain high-tech presence through the Netherlands. By analysing the same relations for younger firms, we are able to make a rather strong case about causation.

Suggested Citation

  • van der Panne, G. & Dolfsma, W.A., 2002. "The Odd Role Of Proximity In Knowledge Relations - High-Tech In The Netherlands," ERIM Report Series Research in Management ERS-2002-75-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 University Rotterdam.
    • Handle: RePEc:ems:eureri:229
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    Cited by:

    1. 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 University Rotterdam.
    2. 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.
    3. Loet Leydesdorff & Wilfred Dolfsma & Gerben Van der Panne, 2010. "Measuring the Knowledge Base of an Economy in Terms of Triple-Helix Relations," Chapters, in: Riccardo Viale & Henry Etzkowitz (ed.), The Capitalization of Knowledge, chapter 11, Edward Elgar Publishing.
    4. Wilfred Dolfsma & Gerben Velde, 2014. "Industry innovativeness, firm size, and entrepreneurship: Schumpeter Mark III?," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 713-736, September.
    5. Leydesdorff, Loet & Dolfsma, Wilfred & Van der Panne, Gerben, 2006. "Measuring the knowledge base of an economy in terms of triple-helix relations among 'technology, organization, and territory'," Research Policy, Elsevier, vol. 35(2), pages 181-199, March.
    6. Dolfsma, Wilfred & van der Panne, Gerben, 2008. "Currents and sub-currents in innovation flows: Explaining innovativeness using new-product announcements," Research Policy, Elsevier, vol. 37(10), pages 1706-1716, December.
    7. Wilfred Dolfsma, 2013. "Government Failure," Books, Edward Elgar Publishing, number 15372.
    8. Dolfsma, Wilfred, 2005. "Towards a dynamic (Schumpeterian) welfare economics," Research Policy, Elsevier, vol. 34(1), pages 69-82, February.
    9. Strand, Øivind & Leydesdorff, Loet, 2013. "Where is synergy indicated in the Norwegian innovation system? Triple-Helix relations among technology, organization, and geography," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 471-484.

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    More about this item

    Keywords

    Netherlands; high-tech; knowledge infrastructure; knowledge spillover & cognitive distance; location factors;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

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