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Assessment of Competitiveness of Chosen European Union Regions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F09%3APU85615" target="_blank" >RIV/00216305:26210/09:PU85615 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14310/09:00035463

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    Hodnocení konkurenceschopnosti vybraných regionů Evropské unie

  • Original language description

    Eighty five European NUTS 2 regions of 6 European countries: Austria, Czech Republic, Germany, Hungary, Poland and Slovakia are considered in the paper. Attention is focused on the assessment of their competitiveness. Data were obtained from the Statistical Office of the European Communities. Four indicators of competitiveness (i.e. quality of labour forces and innovations, labour market, economic activity and infrastructure) were determined by means of factor analysis. The factor scores of indicated factors in the regions were divided into groups by means of multivariate classification techniques (cluster analysis and classification trees). The outcome of the analysis is the classification of groups of regions with similar competitiveness factors.

  • Czech name

    Hodnocení konkurenceschopnosti vybraných regionů Evropské unie

  • Czech description

    Eighty five European NUTS 2 regions of 6 European countries: Austria, Czech Republic, Germany, Hungary, Poland and Slovakia are considered in the paper. Attention is focused on the assessment of their competitiveness. Data were obtained from the Statistical Office of the European Communities. Four indicators of competitiveness (i.e. quality of labour forces and innovations, labour market, economic activity and infrastructure) were determined by means of factor analysis. The factor scores of indicated factors in the regions were divided into groups by means of multivariate classification techniques (cluster analysis and classification trees). The outcome of the analysis is the classification of groups of regions with similar competitiveness factors.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Economics

  • ISSN

    0013-3035

  • e-ISSN

  • Volume of the periodical

    2009

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    19

  • Pages from-to

  • UT code for WoS article

    000265494100001

  • EID of the result in the Scopus database