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Gender Equality in Europe: Differences and Challenges Among European Countries

Author

Listed:
  • Brcanov Dejan

    (University of Novi Sad, Faculty of Economics in Subotica, Serbia)

  • Dakić Stojanka

    (University of Novi Sad, Faculty of Economics in Subotica, Serbia)

  • Dacić Anja

    (University of Novi Sad, Faculty of Economics in Subotica, Serbia)

  • Savić Mirko

    (University of Novi Sad, Faculty of Economics in Subotica, Serbia)

Abstract

The gender gap problem reflects persistent inequalities between men and women across economic participation, education, health, and political representation, driven by social, cultural, and institutional biases that restrict equal opportunities and outcomes. This paper explores the state of gender equality in Europe by constructing composite variables for each area through principal component analysis and applying cluster analysis to classify countries into four distinct groups. The first cluster includes Nordic countries with nearly complete gender equality; the second cluster consists of developed Western European countries with high educational and health outcomes, but lower political and economic opportunities for women. The third cluster comprises former socialist bloc countries with moderate educational and health indicators, but low economic and political inclusion of women, and finally the fourth cluster includes countries with significant challenges in achieving equality due to traditional norms and weak policies. The results indicate the need for tailored policies that would enhance economic opportunities and political participation for women, depending on the specific characteristics of each group of countries.

Suggested Citation

  • Brcanov Dejan & Dakić Stojanka & Dacić Anja & Savić Mirko, 2025. "Gender Equality in Europe: Differences and Challenges Among European Countries," Economic Themes, Sciendo, vol. 63(1), pages 45-58.
  • Handle: RePEc:vrs:ecothe:v:63:y:2025:i:1:p:45-58:n:1004
    DOI: 10.2478/ethemes-2025-0003
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    Keywords

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    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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