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Structural Equation Modeling in Evaluation of Technological Potential of European Union Countries in the years 2008-2012

Author

Listed:
  • Adam P. Balcerzak

    (Nicolaus Copernicus University, Poland)

  • Michal Bernad Pietrzak

    (Nicolaus Copernicus University, Poland)

Abstract

The abilities of countries to take advantage of global technological progress is currently the main growth determinant. It is especially important in the case of developed economies and the countries that concentrate on closing a development gap. As a result, there is a scientific need to make an international comparisons of countries’ technological potential, which can be useful in pointing the economies that can be considered as the leaders and the economies that make especially quick progress in the field. Thus, the main purpose of the research is the identification of the variables that influence countries’ technological potential at macroeconomic level, which can be used in its measuring. The second aim of the article is the evaluation of progress obtained by “new” European Union member states. It is assumed that technological potential can be treated as a latent variable. Thus, it can be measured with application of Structural Equation Models (SEM). In the research, the hypothetic SEM model was proposed for the European Union countries in the years 2008-2012. The model was estimated with application of seven variables sugested by Eurostat as the potential measures of technological potential of the EU economies. The research confirmed significant influence of five of the given variables. Additionally, the research showed some progress in the field obtained by Central European countries that joined the EU after the year 2004.

Suggested Citation

  • Adam P. Balcerzak & Michal Bernad Pietrzak, 2016. "Structural Equation Modeling in Evaluation of Technological Potential of European Union Countries in the years 2008-2012," Working Papers 6/2016, Institute of Economic Research, revised Mar 2016.
  • Handle: RePEc:pes:wpaper:2016:no6
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    Cited by:

    1. 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.
    2. 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.
    3. 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.

    More about this item

    Keywords

    structural equation model (SEM); technology; technological potential; European Union;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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