Analiza potencja³u konkurencyjnego polskich regionów
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.
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- Richard Harris, 2011.
"Models Of Regional Growth: Past, Present And Future,"
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Wiley Blackwell, vol. 25(5), pages 913-951, December.
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- Michael E. Porter, 2000. "Location, Competition, and Economic Development: Local Clusters in a Global Economy," Economic Development Quarterly, , vol. 14(1), pages 15-34, February.
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