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Multivariate Analysis of EU Convergence in Higher Education Services

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Exploring Services Science (IESS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 279))

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Abstract

The paper analyses the evolution of convergence in higher education during 2002–2013, based on previously used macroeconomic and transition indicators: Gross Domestic Product (GDP) per capita, Research and Development (R&D) investment level, government expenditure on education (% of GDP), share of exports of high-tech in total manufactured exports, costs of exploiting intellectual property. We resort to cluster analysis to identify and characterize main groups of higher education systems in Europe. Using forecasting techniques for the 2014–2020 period, we foresee the dynamics of the previously outlined clusters, and the perspectives of convergence in the near future. We analyse the factors facilitating or inhibiting convergence, and the necessary exchanges between groups of countries which are mostly prone to harmonization. The paper integrates previous studies of the authors regarding European level convergence, bringing together best practices and strategies to achieve convergence not only regionally, but also within the European higher education sector.

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Author information

Authors and Affiliations

  1. The Bucharest University of Economic Studies, Calea Grivitei 2-2A, 010731, Bucharest, Romania

    Alina Mihaela Dima, Simona Vasilache & Shahrazad Hadad

Authors
  1. Alina Mihaela Dima
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  2. Simona Vasilache
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  3. Shahrazad Hadad
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Corresponding author

Correspondence to Alina Mihaela Dima .

Editor information

Editors and Affiliations

  1. Faculty of Economics, eCampus University, Rome, Italy

    Stefano Za

  2. Department of Automatic Control and System Engineering, University Politehnica of Bucharest, Bucharest, Romania

    Monica Drăgoicea

  3. Università Cattolica del Sacro Cuore, Milan, Italy

    Maurizio Cavallari

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Dima, A.M., Vasilache, S., Hadad, S. (2017). Multivariate Analysis of EU Convergence in Higher Education Services. In: Za, S., Drăgoicea, M., Cavallari, M. (eds) Exploring Services Science. IESS 2017. Lecture Notes in Business Information Processing, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-319-56925-3_22

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  • DOI: https://doi.org/10.1007/978-3-319-56925-3_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56924-6

  • Online ISBN: 978-3-319-56925-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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