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Assessment of Socio-Economic Sustainability in New European Union Members States in the years 2004-2012

Author

Listed:
  • Michal Bernad Pietrzak

    (Nicolaus Copernicus University, Poland)

  • Adam P. Balcerzak

    (Nicolaus Copernicus University, Poland)

Abstract

Implementation of a concept of sustainable development is currently considered as a dominant paradigm for plans and programs of economic policy at regional, national and international levels. It can be seen in the case of most significant documents that are used as the guidelines for strategic planning in the European Union such as a Europe 2020 plan. This implies the need for constant monitoring of the progress achieved in this area by the European Union countries with application of quantitative tools. The main objective of the research is to assess the progress achieved by the new member states in the field of implementing the concept of sustainability. The analysis is focused on the socio-economic sphere at a macroeconomic level in the years 2004, 2008 and 2012. In the analysis Eurostat data is used. Sustainable development should be treated as a multi-dimensional phenomena. As a result, a concept of taxonomic measure of development was applied here. This method, proposed by Zdzislaw Hellwig, is a useful tool for economic research. The main value of the Hellwig’s proposals relates to its cognitive values in explaining economic reality, methodological simplicity and flexibility in its application. The tool can be used to analyze most of economic complex phenomena.

Suggested Citation

  • Michal Bernad Pietrzak & Adam P. Balcerzak, 2016. "Assessment of Socio-Economic Sustainability in New European Union Members States in the years 2004-2012," Working Papers 5/2016, Institute of Economic Research, revised Mar 2016.
    • Handle: RePEc:pes:wpaper:2016:no5
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    Cited by:

    1. Viktorija Skvarciany & Daiva Jurevičienė & Gintarė Volskytė, 2020. "Assessment of Sustainable Socioeconomic Development in European Union Countries," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
    2. Adam P. Balcerzak, 2016. "Technological Potential of European Economy. Proposition of Measurement with Application of Multiple Criteria Decision Analysis," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 12(3), pages 7-17.
    3. Xiangfei Ma & Inna Gryshova & Viktoriia Khaustova & Olena Reshetnyak & Maryna Shcherbata & Denys Bobrovnyk & Mykyta Khaustov, 2022. "Assessment of the Impact of Scientific and Technical Activities on the Economic Growth of World Countries," Sustainability, MDPI, vol. 14(21), pages 1-35, November.
    4. Michal Bernard Pietrzak & Adam P. Balcerzak, 2016. "Quality of Human Capital and Total Factor Productivity in New European Union Members States," Working Papers 23/2016, Institute of Economic Research, revised May 2016.
    5. Adam P. Balcerzak & Michal Bernard Pietrzak, 2016. "Dynamic Panel Analysis of Influence of Quality of Human Capital on Total Factor Productivity in Old European Union Countries," Working Papers 19/2016, Institute of Economic Research, revised May 2016.
    6. Edith Mihaela DOBRESCU, 2016. "Sustainable Development Through Growth Poles," THE YEARBOOK OF THE "GH. ZANE" INSTITUTE OF ECONOMIC RESEARCHES, Gheorghe Zane Institute for Economic and Social Research ( from THE ROMANIAN ACADEMY, JASSY BRANCH), vol. 25(1), pages 33-40.
    7. Anna Tatarczak & Oleksandra Boichuk, 2018. "The multivariate techniques in evaluation of unemployment analysis of Polish regions," Oeconomia Copernicana, Institute of Economic Research, vol. 9(3), pages 361-380, September.

    More about this item

    Keywords

    Hellwig’s method; pattern of development; multivariate analysis; taxonomy; Socio-Economic Sustainable Development;
    All these keywords.

    JEL classification:

    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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