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Dynamics of Main Statistical Indicators for the High Education in Bulgaria and EU Countries (2003-2016)

Author

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  • Ekaterina Tosheva

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

The aim of this paper is to study the yearly dynamics of the main indicators for higher education in the EU and in the EU member states in the 2003-2016 period. In particular, this piece of research is focused on the differences in the level and dynamics of the following indicatrs: the share of students in tertiary education, the share of the population with higher education and share of government spending on higher education. A comparative analysis has been carried out along these indicators in terms of gender and knowledge area. By using cluster analysis, the EU member states are classified into uniform groups along the four selected indicators at the start and at the end of the studied period. The differences in the groups are analyzed. Even though Bulgaria has reached the EU average in terms of the share of students and other indicators, the country ranks among the worst performers in the EU with regard to government spending on higher education. The results of the cluster analysis confirm that, compared to the EU average, Bulgaria and Romania are still lagging behind in public expenditures on higher education as a share of GDP and as per capita GDP.

Suggested Citation

  • Ekaterina Tosheva, 2018. "Dynamics of Main Statistical Indicators for the High Education in Bulgaria and EU Countries (2003-2016)," Nauchni trudove, University of National and World Economy, Sofia, Bulgaria, issue 5, pages 295-322, December.
    • Handle: RePEc:nwe:natrud:y:2018:i:5:p:295-322
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    File URL: http://unwe-research-papers.org/bg/journalissues/article/10043
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    More about this item

    Keywords

    higher education; dynamics; indicators for the high education; comparison analysis; gender differences; differences in field of education; cluster analysis;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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