Classifying the EU Competitiveness Factors Using Multivariate Statistical Methods

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F15%3A86090716" target="_blank" >RIV/61989100:27510/15:86090716 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/S2212-5671(15)00508-0" target="_blank" >http://dx.doi.org/10.1016/S2212-5671(15)00508-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/S2212-5671(15)00508-0" target="_blank" >10.1016/S2212-5671(15)00508-0</a>

Result language
angličtina
Original language name
Classifying the EU Competitiveness Factors Using Multivariate Statistical Methods
Original language description
Although the EU is one of the most developed parts of the world with high living standards, there exist huge disparities having a negative impact on the balanced development across the EU and weaken thus its competitiveness in the global context The aimof the paper is to define factors of socioeconomic development of the EU by application of factor analysis based on Country/Regional competitiveness index. The results of the analysis are factors that determine socioeconomic environment of the EU. Basedon factor analysis results, it is possible to classify EU territories through cluster analysis in distinct group.
Czech name
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Czech description
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Project
<a href="/en/project/EE2.3.20.0296" target="_blank" >EE2.3.20.0296: Research team for modelling of economic and financial processes at VSB-TU Ostrava</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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