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Metody identyfikacji efektow zewnetrznych funkcjonowania klastrów przemyslowych

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  • Dorota Ciolek

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    (Faculty of Management, University of Gdansk)

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    Abstract

    Methods of identification of external effects of functioning of industrial clusters. The aim of the paper is to present methods used to identify the external effects of the industrial clusters. One of them is to evaluate a regional growth regression with a cluster index as one of the explanatory variables. Such regression should also implement a concept of a spatial character of regional growth what means that condition of the region depends also on the situation of the neighborhood. The second suggestion for testing the effects of clusters is to verify an agglomeration effects in total economy.

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    File URL: http://gnu.univ.gda.pl/~keie/aio20.pdf
    File Function: First version, 2011
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    Bibliographic Info

    Paper provided by Economics of European Integration Department, Faculty of Economics, University of Gdansk, Poland in its series Working Papers with number 1103.

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    Length: 16 pages
    Date of creation: Nov 2011
    Date of revision:
    Handle: RePEc:gda:wpaper:1103

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    Keywords: klaster przemys³owy; efekty zewnêtrzne; metody iloœciowe;

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    1. Andrés Rodríguez-Pose & Fabrice Comptour, 2011. "Do Clusters Generate Greater Innovation and Growth? An analysis of European Regions," Bruges European Economic Research Papers 21, European Economic Studies Department, College of Europe.
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    8. McCann, Philip & Arita, Tomokazu, 2006. "Clusters and regional development: Some cautionary observations from the semiconductor industry," Information Economics and Policy, Elsevier, vol. 18(2), pages 157-180, June.
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    10. Tomasz Brodzicki, 2010. "Critical review of cluster mapping studies in Poland," Working Papers 1001, Economics of European Integration Department, Faculty of Economics, University of Gdansk, Poland.
    11. Mirko Titze & Matthias Brachert & Alexander Kubis, 2010. "The Identification of Industrial Clusters – Methodical Aspects in a Multidimensional Framework for Cluster Identification," IWH Discussion Papers 14, Halle Institute for Economic Research.
    12. L. Wade, 1988. "Review," Public Choice, Springer, vol. 58(1), pages 99-100, July.
    13. Tan, Justin, 2006. "Growth of industry clusters and innovation: Lessons from Beijing Zhongguancun Science Park," Journal of Business Venturing, Elsevier, vol. 21(6), pages 827-850, November.
    14. Robert O’brien, 2007. "A Caution Regarding Rules of Thumb for Variance Inflation Factors," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(5), pages 673-690, October.
    15. Florax, Raymond J.G.M. & Folmer, Hendrik & Rey, Sergio J., 2006. "A comment on specification searches in spatial econometrics: The relevance of Hendry's methodology: A reply," Regional Science and Urban Economics, Elsevier, vol. 36(2), pages 300-308, March.
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