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Tendencies to EU Regional Convergence or Divergence by Efficiency Analysis

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F15%3A86090711" target="_blank" >RIV/61989100:27510/15:86090711 - isvavai.cz</a>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Tendencies to EU Regional Convergence or Divergence by Efficiency Analysis

  • Popis výsledku v původním jazyce

    European Union faces increased competition from other continents, their nations, regions and cities. To respond to this challenge, the EU has agreed a strategies to promote economic growth and job creation, known as the Lisbon strategy for the period 2000-2010 and current for the period 2010-2020 the Strategy Europe 2020 which aims to make the EU the world’s leading knowledge-economy, based on the principle of sustainable development. But does the EU have sufficient endowment to achieve these objectives? Does the EU use its sources and opportunities effectively enough? Actions are needed at all levels of government - European, national and especially regional/local levels – if these ambitions are to be realised. Europe’s global competitiveness depends on a multiplicity of actions that can optimise the potentials within its regions because regions are increasingly becoming the drivers of the economy. All regions possess development opportunities – however, use these options enough and hence is at regional level tendency to convergence of competitiveness and its broaden aspects, or vice versa prevailing tendency to divergence? From this point of view, the main aim of the paper is to distinguish if the EU NUTS 2 regions have tendencies to convergence or divergence of competitiveness level by efficiency analysis with the help of Data Envelopment Analysis. DEA seems to be a convenient method for measuring regional efficiency because it is based on the Regional Competitiveness Index having dimension of driving forces of competitiveness and direct or indirect outcomes of a competitive society and economy. The analysis will be divided in growth period, crisis period and post-crisis period and thus, it will be possible the evaluate changes in tendencies to convergence or divergence across European regions.

  • Název v anglickém jazyce

    Tendencies to EU Regional Convergence or Divergence by Efficiency Analysis

  • Popis výsledku anglicky

    European Union faces increased competition from other continents, their nations, regions and cities. To respond to this challenge, the EU has agreed a strategies to promote economic growth and job creation, known as the Lisbon strategy for the period 2000-2010 and current for the period 2010-2020 the Strategy Europe 2020 which aims to make the EU the world’s leading knowledge-economy, based on the principle of sustainable development. But does the EU have sufficient endowment to achieve these objectives? Does the EU use its sources and opportunities effectively enough? Actions are needed at all levels of government - European, national and especially regional/local levels – if these ambitions are to be realised. Europe’s global competitiveness depends on a multiplicity of actions that can optimise the potentials within its regions because regions are increasingly becoming the drivers of the economy. All regions possess development opportunities – however, use these options enough and hence is at regional level tendency to convergence of competitiveness and its broaden aspects, or vice versa prevailing tendency to divergence? From this point of view, the main aim of the paper is to distinguish if the EU NUTS 2 regions have tendencies to convergence or divergence of competitiveness level by efficiency analysis with the help of Data Envelopment Analysis. DEA seems to be a convenient method for measuring regional efficiency because it is based on the Regional Competitiveness Index having dimension of driving forces of competitiveness and direct or indirect outcomes of a competitive society and economy. The analysis will be divided in growth period, crisis period and post-crisis period and thus, it will be possible the evaluate changes in tendencies to convergence or divergence across European regions.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    50202 - Applied Economics, Econometrics

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/EE2.3.20.0296" target="_blank" >EE2.3.20.0296: Výzkumný tým pro modelování ekonomických a finančních procesů na VŠB-TU Ostrava</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2015

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Regional Science : 5th Central european conference proceedings: October 5-8, 2014, Košice, Slovak Republic

  • ISBN

    978-80-553-2015-1

  • ISSN

  • e-ISSN

    neuvedeno

  • Počet stran výsledku

    10

  • Strana od-do

    951-960

  • Název nakladatele

    Technická univerzita v Košicích

  • Místo vydání

    Košice

  • Místo konání akce

    Košice

  • Datum konání akce

    5. 10. 2014

  • Typ akce podle státní příslušnosti

    EUR - Evropská akce

  • Kód UT WoS článku

    000379207200092