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Development of the information society and its impact on the education sector in the EU: Efficiency at the regional (NUTS 2) level

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  • Aristovnik, Aleksander

Abstract

Information and communication technology (ICT) is one of the most important driving forces promoting economic growth in the economy. However, one puzzling question concerns the efficient and effective impact of ICT on educational outputs and outcomes. Therefore, the purpose of the paper is to discuss and review some previous research studies on development of the information society and its impact on educational outputs/outcomes at regional level. Respectively, a definition, measurements and the empirical application of the efficiency and effectiveness of the ICT at the regional (NUTS 2) level in the EU is considered (based on 2007–2011 average data). The research findings suggest that a wide range of NUTS 2 regions is characterized by a relatively low efficiency rate of transforming information society progress into educational outputs/outcomes, particularly in Eastern and Southern Europe.

Suggested Citation

  • Aristovnik, Aleksander, 2014. "Development of the information society and its impact on the education sector in the EU: Efficiency at the regional (NUTS 2) level," MPRA Paper 56455, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:56455
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    References listed on IDEAS

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    1. Rashid Amjad, 2006. "Why Pakistan Must Break-into the Knowledge Economy," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 11(Special E), pages 75-87, September.
    2. Aristovnik, Aleksander, 2012. "The impact of ICT on educational performance and its efficiency in selected EU and OECD countries: a non-parametric analysis," MPRA Paper 39805, University Library of Munich, Germany.
    3. Edwin Leuven & Mikael Lindahl & Hessel Oosterbeek & Dinand Webbink, 2007. "The Effect of Extra Funding for Disadvantaged Pupils on Achievement," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 721-736, November.
    4. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
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    Cited by:

    1. Gkouzos, Andreas, 2022. "The efficiency of basic economic branches in Greek regions: Evidence from Data Envelopment Analysis," MPRA Paper 112310, University Library of Munich, Germany.

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    More about this item

    Keywords

    information technology; education; efficiency; DEA; EU; NUTS-2 regions;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • I2 - Health, Education, and Welfare - - Education
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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