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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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    as
    1. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 2000. "Scale-free characteristics of random networks: the topology of the world-wide web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 281(1), pages 69-77.
    2. R. Cowan & N. Jonard & J. -B. Zimmermann, 2007. "Evolving networks of inventors," Springer Books, in: Uwe Cantner & Franco Malerba (ed.), Innovation, Industrial Dynamics and Structural Transformation, pages 129-148, Springer.
    3. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2008. "The new area-wide model of the euro area: a micro-founded open-economy model for forecasting and policy analysis," Working Paper Series 944, European Central Bank.
    4. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2006. "SIGMA: A New Open Economy Model for Policy Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 2(1), March.
    5. Ali Dib, 2003. "An estimated Canadian DSGE model with nominal and real rigidities," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(4), pages 949-972, November.
    6. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    7. Cowan, Robin & Jonard, Nicolas, 2004. "Network structure and the diffusion of knowledge," Journal of Economic Dynamics and Control, Elsevier, vol. 28(8), pages 1557-1575, June.
    8. Dixit, Avinash K & Stiglitz, Joseph E, 1977. "Monopolistic Competition and Optimum Product Diversity," American Economic Review, American Economic Association, vol. 67(3), pages 297-308, June.
    9. Sebestyen, Tamas & Parag, Andrea, 2010. "The dynamics of link formation in patent innovator networks," Perspectives of Innovations, Economics and Business (PIEB), Prague Development Center (PRADEC), vol. 4(01), pages 1-5, February.
    10. Luc Anselin & Attila Varga & Zoltan Acs, 2008. "Local Geographic Spillovers Between University Research and High Technology Innovations," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 9, pages 95-121, Edward Elgar Publishing.
    11. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December.
    12. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    13. Carayol, Nicolas & Roux, Pascale, 2009. "Knowledge flows and the geography of networks: A strategic model of small world formation," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 414-427, August.
    14. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
    15. Eric Abrahamson & Lori Rosenkopf, 1997. "Social Network Effects on the Extent of Innovation Diffusion: A Computer Simulation," Organization Science, INFORMS, vol. 8(3), pages 289-309, June.
    16. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    17. Stefano Breschi & Francesco Lissoni, 2003. "Mobility and Social Networks: Localised Knowledge Spillovers Revisited," KITeS Working Papers 142, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Mar 2003.
    18. Gene M. Grossman & Elhanan Helpman, 1994. "Endogenous Innovation in the Theory of Growth," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 23-44, Winter.
    19. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    20. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    21. Zoltán M. Jakab & Balázs Világi, 2008. "An estimated DSGE model of the Hungarian economy," MNB Working Papers 2008/9, Magyar Nemzeti Bank (Central Bank of Hungary).
    22. Nicholas Kaldor, 1966. "Marginal Productivity and the Macro-Economic Theories of Distribution: Comment on Samuelson and Modigliani," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 33(4), pages 309-319.
    23. Mendoza, Enrique G, 1991. "Real Business Cycles in a Small Open Economy," American Economic Review, American Economic Association, vol. 81(4), pages 797-818, September.
    24. Balconi, Margherita & Breschi, Stefano & Lissoni, Francesco, 2004. "Networks of inventors and the role of academia: an exploration of Italian patent data," Research Policy, Elsevier, vol. 33(1), pages 127-145, January.
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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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