Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Engineering Economic...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Engineering Economics
Article . 2019 . Peer-reviewed
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 1 versions
addClaim

Competitiveness of Regions in the Visegrad Group Countries

Authors: Eva Koišová; Eva Grmanová; Katarína Škrovánková; Júlia Kostrová;

Competitiveness of Regions in the Visegrad Group Countries

Abstract

V súčasnosti zohráva významnú úlohu regionálny rozvoj konkurencieschopnosť regiónov. Konkurencieschopnosť je kľúčom k schopnosti regiónov zabezpečiť vysokú úroveň príjmov pre svojich obyvateľov. S cieľom zvýšiť konkurencieschopnosť regiónov je potrebné podporiť faktory, ktoré zvyšujú konkurencieschopnosť. Hlavným cieľom práce je prispieť k informovanosti o disparitách regionálnej konkurencieschopnosti v regiónoch krajín V4. Okrem toho boli formulované dva sekundárne ciele. Prvým cieľom je určiť najkonkurencieschopnejšie regióny v Vyšehradskej skupine. Druhým cieľom je zistiť, či existuje korelácia medzi dvomi zvolenými prístupmi. V dokumente sa používajú modely analýz obloženia údajov (DEA) na vyhodnotenie konkurencieschopnosti regiónov. Modely DEA hodnotia efektívnosť, s ktorou môžu štáty a regióny transformovať vstupy na výstupy. Modely DEA preto posudzujú, aké veľké výstupy môžu štáty alebo regióny dosiahnuť pri vynaložení jednotného množstva vstupov (zdrojov). Na určenie regresných vzťahov sa používa metóda Tobit regression. Regionálne rozdiely sa analyzujú na úrovni NUTS 2. Zdá sa, že Bratislavský kraj je najviac konkurencieschopný región vo vyšehradských krajinách, ako to vyplýva z analýzy modelov DEA. DOI: http://dx.doi.org/10.5755/j01.ee.30.2.21746

  • BIP!
    Impact byBIP!
    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).
    6
    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.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
6
Top 10%
Average
Top 10%
gold