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Adult Participation In Lifelong Learning For Better Employability In Selected European Countries

Author

Listed:
  • Dumicic, Ksenija

    (University of Zagreb, Croatia)

  • Milun, Toni

    (Algebra University College, Zagreb, Croatia)

  • Antic, Josipa

    (De Pauli AG, Garching bei München, Germany)

Abstract

Regardless Adult participation in learning (APinL) indicator was by European Commission (2010) in Europe 2020 Strategy targeted with 15% by 2020, for European Union (EU) countries the respective percentage in 2017 was 10.9% only, with coefficient of variation of 70.4%. Recently it has been increasing for majority of European countries, being still quite low in many of them. In 2017 the lowest values was in Romania, 1.1%, and the highest in Sweden, 30%, in some highly developed economies, APinL was below the EU-28 average, e.g. in Germany 8.5%, and in some countries, like Croatia, decrease rate for APinL in 2017 related to 2006 was -19.4%, from 3.1% to 2.5%. Applying data exploration, trend, correlation, regression and cluster analysis, this paper investigates economic, social and digital society development indicators influencing APinL in selected European countries in 2017. It was positively correlated with Gross Domestic Product per capita, employment rate, percentage of those high educated, having the strongest positive correlation with Digital skills. It showed weak negative correlations with middle and low education level indicators. Two valid regression models enlightening impacts on APinL were developed. Finally, four clusters clusters of similar European countries were created, occasionally included the countries that joined them surprisingly.

Suggested Citation

  • Dumicic, Ksenija & Milun, Toni & Antic, Josipa, 2019. "Adult Participation In Lifelong Learning For Better Employability In Selected European Countries," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 10(1), pages 41-55.
  • Handle: RePEc:ris:utmsje:0259
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    References listed on IDEAS

    as
    1. Vasile-Daniel Păvăloaia & Mircea Radu Georgescu & Daniela Popescul & Laura-Diana Radu, 2019. "ESD for Public Administration: An Essential Challenge for Inventing the Future of Our Society," Sustainability, MDPI, vol. 11(3), pages 1-27, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    skill gap; digital skills; education level; regression analysis; cluster analysis;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

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