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Analiza potencja³u konkurencyjnego polskich regionów

Author

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  • Anna Golejewska

    (Faculty of Economics, University of Gdansk)

  • Damian Gajda

    (Faculty of Management, University of Gdansk)

Abstract

The paper relates to factors determining regional competitiveness in Poland. The aim of the empirical analysis is to compare competitive ability of regions in Poland (NUTS-2 level) in 2001-2010 and to verify the existence of clusters. It is based on two data sources: Eurostat Regional Statistics and Local Data Bank (The Central Statistical Office). Polish regions differ essentially in historical, geographical, economic and social dimension. The cluster analysis comprises seven idicators: patent applications to the EPO, share of core Human Resources in Science and Technology, R&D expenditure, share in lifelong learning, share of population with tertiary education, longterm unemployment rate and employment in sectors J and K. We apply two classical methods of cluster analysis: hierarchical Ward’s method and non-hierarchical k-means clustering algorithm. The results confirm substantial diversity of competitive potential of Polish regions and its changes in the analysed period, as well as ambiguous influence of chosen determinants on competitive positions of particular regions. Further research is still needed.

Suggested Citation

  • Anna Golejewska & Damian Gajda, 2012. "Analiza potencja³u konkurencyjnego polskich regionów," Working Papers of Economics of European Integration Division 1205, The Univeristy of Gdansk, Faculty of Economics, Economics of European Integration Division.
    • Handle: RePEc:gda:wpaper:1205
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    File URL: http://gnu.univ.gda.pl/~keie/aio29.pdf
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    References listed on IDEAS

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    7. Peter Nijkamp & Iulia Siedschlag & Donal Smith, 2011. "Economic Growth, Innovation and Competitiveness in a Knowledge-Based World Economy: Introduction," Advances in Spatial Science, in: Peter Nijkamp & Iulia Siedschlag (ed.), Innovation, Growth and Competitiveness, chapter 0, pages 1-11, Springer.
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    Cited by:

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    Keywords

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    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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