Statistical approach to analysis of the regions

Authors:
Pavel Petr;Jiří Křupka;Romana Provazníková
Affiliations:
Faculty of Economics and Administration, University of Pardubice, Institute of System Engineering and Informatics, Pardubice, Czech Republic;Faculty of Economics and Administration, University of Pardubice, Institute of System Engineering and Informatics, Pardubice, Czech Republic;Faculty of Economics and Administration, University of Pardubice, Institute of Economy, Pardubice, Czech Republic
Venue:
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Year:
2010

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Abstract

The submitted paper focuses on the utilization of the concept of aggregated indicators for expressing the competitiveness of regions. The statistical methods, factor and cluster analysis, have been used for the modelling. In this modelling process real data from the Eurostat statistics database are used. These data contain diverse information about NUTS 2 and comparable regions. The result of the factor analysis is the development of a set of new composite indicators that markedly contribute to the increase of competitiveness of a given region. The result of the cluster analysis is clusters of the selected regions constructed by clustering composite indicators values.