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Cluster analysis of effectiveness of labour market policy in the European Union

Author

Listed:
  • Ewa Rollnik-Sadowska

    (Bialystok University of Technology, Poland)

  • Edyta Dabrowska

    (Marshal's Office of Podlasie Voivodeship, Poland)

Abstract

Research background: In the era of demographic changes and the need for rationalization of public expenditure, the European Union social policy promotes the activation approach. In addition, a growing importance of increasing the effectiveness and efficiency of public entities can be noticed. These phenomena are visible in the implementation of the labour market policy. However, the EU countries represent a different approach to spending public funds on issues related to the implementation of labour market policy. Purpose of the article: The authors are presenting the main theoretical assumptions concerning effectiveness and efficiency of labour market policy. Moreover, in the paper the EU countries are classified in clusters according to their level of expenditure on different categories of LMP. A comparison of the situation over ten years — in 2004 and 2014 — has also been conducted. In 2004, ten new members entered the EU, and the year 2014 presents the most current data in the analyzed area. Methods: As a research method cluster analysis was applied. Cross-country labour market situation throughout the EU is presented by the analysis of the Eurostat data. The countries are grouped in clusters following Ward's and k-means methods. Findings & Value added: There is a need to work out a complex evaluation of labour market policies in the EU to provide comparative analysis of the EU countries (or groups of countries). It would allow to determine the level of development of the country in terms of the efficiency of labour market policies. The EU countries with the best labour market indicators represent diverse levels of LMP expenditure.

Suggested Citation

  • Ewa Rollnik-Sadowska & Edyta Dabrowska, 2018. "Cluster analysis of effectiveness of labour market policy in the European Union," Oeconomia Copernicana, Institute of Economic Research, vol. 9(1), pages 143-158, March.
    • Handle: RePEc:pes:ieroec:v:9:y:2018:i:1:p:143-158
    DOI: 10.24136/oc.2018.008
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    Citations

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    Cited by:

    1. Marlena Piekut, 2021. "The Consumption of Renewable Energy Sources (RES) by the European Union Households between 2004 and 2019," Energies, MDPI, vol. 14(17), pages 1-31, September.
    2. Beata Bieszk-Stolorz & Krzysztof Dmytrów, 2020. "Influence of Accession of the Visegrad Group Countries to the EU on the Situation in Their Labour Markets," Sustainability, MDPI, vol. 12(16), pages 1-16, August.
    3. Anna Manowska & Anna Bluszcz, 2022. "Forecasting Crude Oil Consumption in Poland Based on LSTM Recurrent Neural Network," Energies, MDPI, vol. 15(13), pages 1-23, July.
    4. Agnieszka Wałachowska & Aranka Ignasiak-Szulc, 2021. "Comparison of Renewable Energy Sources in ‘New’ EU Member States in the Context of National Energy Transformations," Energies, MDPI, vol. 14(23), pages 1-17, November.
    5. Krzysztof Dmytrow & Beata Bieszk-Stolorz, 2021. "Comparison of changes in the labour markets of post-communist countries with other EU member states," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(4), pages 741-764, December.
    6. Faizan, Riffat & Sreekumaran Nair, Sree Lekshmi & Haque, Adnan ul, 2018. "The effectiveness of Feminine and Masculine Leadership styles in relation to contrasting gender's performances," MPRA Paper 87713, University Library of Munich, Germany, revised 28 Mar 2018.
    7. Bartłomiej Iglinski & Karol Flisikowski & Michał Bernard Pietrzak & Urszula Kiełkowska & Mateusz Skrzatek & Anas Zyadin & Karthikeyan Natarajan, 2021. "Renewable Energy in the Pomerania Voivodeship—Institutional, Economic, Environmental and Physical Aspects in Light of EU Energy Transformation," Energies, MDPI, vol. 14(24), pages 1-27, December.
    8. Elżbieta Bukalska & Marek Zinecker & Michał Bernard Pietrzak, 2021. "Socioemotional Wealth (SEW) of Family Firms and CEO Behavioral Biases in the Implementation of Sustainable Development Goals (SDGs)," Energies, MDPI, vol. 14(21), pages 1-15, November.
    9. Ignatov Augustin, 2019. "Institutional Efficiency, Entrepreneurship, and the Premises of Economic Development in the Eastern European Countries," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 64(2), pages 12-32, August.
    10. Robert Huterski & Agnieszka Huterska & Ewa Zdunek-Rosa & Grażyna Voss, 2021. "Evaluation of the Level of Electricity Generation from Renewable Energy Sources in European Union Countries," Energies, MDPI, vol. 14(23), pages 1-18, December.
    11. Magdalena Kludacz-Alessandri & Małgorzata Cygańska, 2021. "Corporate Social Responsibility and Financial Performance among Energy Sector Companies," Energies, MDPI, vol. 14(19), pages 1-16, September.
    12. Małgorzata Cygańska & Magdalena Kludacz-Alessandri, 2021. "Determinants of Electrical and Thermal Energy Consumption in Hospitals According to Climate Zones in Poland," Energies, MDPI, vol. 14(22), pages 1-24, November.

    More about this item

    Keywords

    labour market policy expenditure; effectiveness; efficiency; Ward’s method; k-means method;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J88 - Labor and Demographic Economics - - Labor Standards - - - Public Policy

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