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Hálózati struktúra és egyensúly: a tudás-áramlás szerkezeti jellemzőinek kérdései

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  • Tamás Sebestyén

    (UNIVERSITY OF PÉCS-FACULTY OF BUSINESS AND ECONOMICS)

Abstract

A hálózatok szerepe egyre kiemeltebb figyelmet kap az innovációval foglalkozó irodalomban: a hálózatok strukturális felépítésének szerepe pedig számos területen keltette fel a kutatók érdeklődését. Dolgozatunkban azt vizsgáljuk, hogy a vállalatok közötti tudáshálózatok struktúrája milyen hatással van a gazdaság teljesítményére. Egy egyszerű általános egyensúlyi modellbe építjük be a hálózati kapcsolatokon keresztül áramló tudás-spilloverek hatását és szimulációs technikákkal vizsgáljuk a modell működését. A kapott eredmények azt mutatják, hogy a hálózati struktúra lényeges hatással van a gazdaság teljesítményére, ugyanakkor az is kiderül, hogy az aggregált teljesítmény és az egyenlőtlenség egymással párhuzamosan növekszik, ahogyan a hálózati struktúra a szabályos hálózatok irányából a véletlen hálózatok irányába, majd a véletlen hálózatok irányából a skálafüggetlen hálózatok irányába halad.

Suggested Citation

  • Tamás Sebestyén, 2011. "Hálózati struktúra és egyensúly: a tudás-áramlás szerkezeti jellemzőinek kérdései," UPFBE Working Paper Series 2011/5, Faculty of Business and Economics, University Pécs.
  • Handle: RePEc:pec:wpaper:2011/5
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    File URL: https://journals.lib.pte.hu/index.php/workingpapers/article/view/5938/5663
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    More about this item

    Keywords

    Hálózati struktúra; Skálafüggetlen hálózat véletlen hálózat; Tudáshálózatok; Általános egyensúly.;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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