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Real Convergence In Eu Countries. A Cluster Analysis

Author

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  • Ramona Marinela SIMUȚ

    (Universitatea din Oradea, Facultatea de Științe Economice, Oradea, Romania)

Abstract

An increasing number of studies on the convergence attempted to answer the question whether the poorer economies will overtake the economies of the richer ones in time. Also, they attempted to determine whether European integration will have a positive or negative impact on the long term growth of the member countries. In such a context, any measure of inequalities between countries or regions presents great interest. The academic literature attempted a substantiation of quantitative criteria on the measurement of real economic convergence. In the first part of the study we conducted a brief review of the literature devoted to the analysis of real convergence. It also presented the research methodology of cluster analysis, followed in the second part of the study by analysis of the distance between Member EU-28 and the 19 Eurozone to highlight similarities between these states through clustering. The time frame allowed emphasizing some of the effects of the economic crisis on the degree of real convergence.

Suggested Citation

  • Ramona Marinela SIMUȚ, 2015. "Real Convergence In Eu Countries. A Cluster Analysis," Management Intercultural, Romanian Foundation for Business Intelligence, Editorial Department, issue 33, pages 173-181, June.
    • Handle: RePEc:cmj:interc:y:2015:i:33:p:173-181
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    Citations

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    Cited by:

    1. Mădălina AVRAM & Constantin POSTOIU, 2016. "Territorial patterns of development in the European Union," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(606), S), pages 77-88, Spring.
    2. Maria TĂTĂRUȘANU, 2016. "The Networks In Tourism: A Theoretical Approach," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 8, pages 197-203, December.

    More about this item

    Keywords

    Real convergence; European Union; Euclidian distance; K-means; Cluster analysis;
    All these keywords.

    JEL classification:

    • F15 - International Economics - - Trade - - - Economic Integration
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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