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Statistická identifikace klastrového potenciálu v ČR / Statistical identification of industry clusters potential

The aim of the thesis is to present the process connected with the identification of industrial clusters and to point out possible methods and instruments that are useable by such identification. The target is not only focussed on description of these methods but also on consideration that the methods are likewise useful in regions of Czech Republic, especially taken into account the existing offer of regional data. The diplom thesis consists of three parts. The first part represents theoretical introduction to clusters' problem. The second part, also the theoretical one, deals widely with quantitative and qualitative methods and with procedures and clasification that belong to these methods. The third part applies the theoretical knowledge into practices. The comparison methods are used in the theoretical part and the methods of analysis, synthesis, comparison and induction are used in the practical part. The diplom thesis brings a quantitative extension of methods that have been used so far when identifying the industrial clusters in Czech Republic. Due to the present trend of prefering the qualitative methods, the extension of quantitative methods could be seen as a retrograde act. But the conditions of Czech Republic tourned out that, in fact, it is a suitable extension of statistical instruments.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:4281
Date January 2007
CreatorsMokošová, Veronika
ContributorsFischer, Jakub, Chlad, Miloslav
PublisherVysoká škola ekonomická v Praze
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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