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Metody identyfikacji efektow zewnetrznych funkcjonowania klastrów przemyslowych


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  • Dorota Ciolek

    (Faculty of Management, University of Gdansk)

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    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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    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.
    2. Paul Cheshire & Edward Malecki, 2003. "Growth, development, and innovation: A look backward and forward," Papers in Regional Science, Springer, vol. 83(1), pages 249-267, October.
    3. repec:cup:cbooks:9780521805247 is not listed on IDEAS
    4. Andrew Wood, 2008. "Clusters and Regional Development: Critical Reflections and Explorations - Edited by Bjorn Asheim, Philip Cooke, and Ron Martin," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 39(2), pages 372-375.
    5. Mankiw, N Gregory & Romer, David & Weil, David N, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 407-37, May.
    6. repec:cup:cbooks:9780521801386 is not listed on IDEAS
    7. Andres Rodriguez-Pose & Riccardo regstdcenzi, 2008. "Research and Development, Spillovers, Innovation Systems, and the Genesis of Regional Growth in Europe," Regional Studies, Taylor & Francis Journals, vol. 42(1), pages 51-67.
    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.
    9. Baumol, William J, 1986. "Productivity Growth, Convergence, and Welfare: What the Long-run Data Show," American Economic Review, American Economic Association, vol. 76(5), pages 1072-85, December.
    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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