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Procedia - Social and Behavioral Sciences
Article . 2016 . Peer-reviewed
License: CC BY NC ND
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Procedia - Social and Behavioral Sciences
Article
License: CC BY NC ND
Data sources: UnpayWall
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Competitiveness of Metropolitan Regions in Visegrad Counties

Authors: Lengyel Imre;

Competitiveness of Metropolitan Regions in Visegrad Counties

Abstract

AbstractNowadays competition between regions and consequently the examination of regional competitiveness has become a research question of outstanding importance. In our study we will first look at the definition of competitiveness and the frames of interpretation related to its definition. Afterwards we will proceed to analyse the competitiveness of 93 NUTS3 level regions of 4 East-Central European countries (Czech Republic, Hungary, Poland, Slovakia) with the help of an empirical data base, using principal component analysis method. Regional competitiveness studies tend to be relative, that is why we mostly compare the competitiveness of the metropolitan regions to each other.

Country
Hungary
Related Organizations
Keywords

visegrad counties, metropolitan regions, Regional competitiveness, three factor model.

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
gold