IDEAS home Printed from https://ideas.repec.org/a/vrn/cfdide/y2020i1p58-69.html
   My bibliography  Save this article

Convergence Evaluation In The Context Of Epsr Through Cluster Analysis

Author

Listed:
  • Polya Angelova

    (The D.A. Tsenov Academy of Economics – Svishtov, Bulgaria)

  • Tihomir Varbanov

    (The D.A. Tsenov Academy of Economics – Svishtov, Bulgaria)

Abstract

Improving citizens’ labour and social rights along with their guaranteeing are a major objective of the European Pillar of Social Rights (EPSR). In the current paper the state of the European social space is explored on the ground of the three summarizing groups of indicators that characterize the principles of the EPSR – equal opportunities and access to labour market, fair working conditions and social protection and inclusion. Cluster analysis is applied for distinguishing homogeneous groups of countries and the factors with main contribution for their composing are identified. Bulgaria’s positioning is established and recommendations are made for improving the social rights in the country.

Suggested Citation

  • Polya Angelova & Tihomir Varbanov, 2020. "Convergence Evaluation In The Context Of Epsr Through Cluster Analysis," Economic Science, education and the real economy: Development and interactions in the digital age, Publishing house Science and Economics Varna, issue 1, pages 58-69.
    • Handle: RePEc:vrn:cfdide:y:2020:i:1:p:58-69
    as

    Download full text from publisher

    File URL: https://ue-varna.bg/~uevarna/uploads/filemanager/303/publishing-complex/2020/Economic_science_education_real_economy_T2_2020.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    European Pillar of Social Rights; cluster analysis; convergence;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrn:cfdide:y:2020:i:1:p:58-69. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Zoya Mladenova (email available below). General contact details of provider: https://edirc.repec.org/data/uevarbg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.