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High Performance in Complex Spatial Systems: A Self-Organizing Mapping Approach with Reference to The Netherlands

Author

Listed:
  • Karima Kourtit

    (VU University Amsterdam)

  • Daniel Arribas-Bel

    (VU University Amsterdam)

  • Peter Nijkamp

    (VU University Amsterdam)

Abstract

This discussion paper resulted in an article in the Annals of Regional Science (2012). Volume 48, issue 2(SI), pages 501-527. This paper addresses the performance of creative firms from the perspective of complex spatial systems. Based on an extensive high-dimensional database on both the attributes of individual creative firms in the Netherlands and a series of detailed regional facilitating and driving factors related, inter alia, to talent, innovation, skills, networks, accessibility and hardware, a new methodology called self-organizing mapping (SOM) is applied to identify and explain in virtual topological space, the relative differences between these firms and their business performance in various regions. It turns out that there are significant differences in the spatial and functional profile of large firms vis-à-vis SMEs across distinct geographical areas in the country.

Suggested Citation

  • Karima Kourtit & Daniel Arribas-Bel & Peter Nijkamp, 2013. "High Performance in Complex Spatial Systems: A Self-Organizing Mapping Approach with Reference to The Netherlands," Tinbergen Institute Discussion Papers 13-194/VIII, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20130194
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    File URL: https://papers.tinbergen.nl/13194.pdf
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    References listed on IDEAS

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    Cited by:

    1. Jasna Soldić-Aleksić & Rade Stankić, 2015. "A Comparative Analysis Of Serbia And The Eu Member States In The Context Of The Networked Readiness Index Values," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 60(206), pages 45-86, July - Se.

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    More about this item

    Keywords

    complex spatial systems; self-organizing mapping; creative firms; talent; innovation; networks; accessibility; business performance; spatial and functional profiles; SMEs; large firms; geographical areas;
    All these keywords.

    JEL classification:

    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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