2009
Hodnocení konkurenceschopnosti vybraných regionů Evropské unie
ODEHNAL, Jakub and Jaroslav MICHÁLEKBasic information
Original name
Hodnocení konkurenceschopnosti vybraných regionů Evropské unie
Name (in English)
Assessment of Competitiveness of Chosen European Union Regions
Authors
ODEHNAL, Jakub (203 Czech Republic, guarantor, belonging to the institution) and Jaroslav MICHÁLEK (203 Czech Republic, belonging to the institution)
Edition
Ekonomický časopis, 2009, 0013-3035
Other information
Language
Czech
Type of outcome
Article in a journal
Field of Study
50200 5.2 Economics and Business
Country of publisher
Czech Republic
Confidentiality degree
is not subject to a state or trade secret
References:
Impact factor
Impact factor: 0.237
RIV identification code
RIV/00216224:14310/09:00035463
Organization unit
Faculty of Science
UT WoS
000265494100001
Keywords (in Czech)
regionální konkurenceschopnost; faktorová analýza; shluková analýza; klasifikační stromy
Keywords in English
competitiveness of regions; factor analysis; cluster analysis; classification trees
Changed: 19/3/2020 23:34, Mgr. Michal Petr
V originále
Příspěvek představuje hodnocení konkurenceschopnosti vybraných regionů Evropské unie. K hodnocení byla použita data z dabáze Eurastatu charakterizující regiony zemí Německa, Rakouska, České republiky, Slovenska, Maďarska a Polska na úrovni NUTS 2. K samotnému hodnocení regionální konkurenceschopnosti byly použity mnohorozměrné statistické metody a metody vytěžování dat.
In English
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.
Links
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