IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/56455.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/56455/1/MPRA_paper_56455.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Ramanathan, Ramakrishnan, 2005. "An analysis of energy consumption and carbon dioxide emissions in countries of the Middle East and North Africa," Energy, Elsevier, vol. 30(15), pages 2831-2842.
    3. Xianmei Wang & Hanhui Hu, 2017. "Sustainable Evaluation of Social Science Research in Higher Education Institutions Based on Data Envelopment Analysis," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    4. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    5. Tyagi, Preeti & Yadav, Shiv Prasad & Singh, S.P., 2009. "Relative performance of academic departments using DEA with sensitivity analysis," Evaluation and Program Planning, Elsevier, vol. 32(2), pages 168-177, May.
    6. Xianmei Wang & Hanhui Hu, 2017. "Sustainability in Chinese Higher Educational Institutions’ Social Science Research: A Performance Interface toward Efficiency," Sustainability, MDPI, vol. 9(11), pages 1-18, October.
    7. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Mousavi Avval, Seyed Hashem & Rafiee, Hamed, 2011. "Energy efficiency improvement and input cost saving in kiwifruit production using Data Envelopment Analysis approach," Renewable Energy, Elsevier, vol. 36(9), pages 2573-2579.
    8. Lu, Wen-Min & Liu, John S. & Kweh, Qian Long & Wang, Chung-Wei, 2016. "Exploring the benchmarks of the Taiwanese investment trust corporations: Management and investment efficiency perspectives," European Journal of Operational Research, Elsevier, vol. 248(2), pages 607-618.
    9. Garcia-Lacalle, Javier & Martin, Emilio, 2010. "Rural vs urban hospital performance in a 'competitive' public health service," Social Science & Medicine, Elsevier, vol. 71(6), pages 1131-1140, September.
    10. Taleb, Mushtaq & Khalid, Ruzelan & Ramli, Razamin & Ghasemi, Mohammad Reza & Ignatius, Joshua, 2022. "An integrated bi-objective data envelopment analysis model for measuring returns to scale," European Journal of Operational Research, Elsevier, vol. 296(3), pages 967-979.
    11. Gattoufi, Said & Oral, Muhittin & Reisman, Arnold, 2004. "A taxonomy for data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 38(2-3), pages 141-158.
    12. Paul Rouse & Julie Harrison & Li Chen, 2010. "Data Envelopment Analysis: A Practical Tool to Measure Performance," Australian Accounting Review, CPA Australia, vol. 20(2), pages 165-177, June.
    13. Zhang, Daqun & Banker, Rajiv D. & Li, Xiaoxuan & Liu, Wenbin, 2011. "Performance impact of research policy at the Chinese Academy of Sciences," Research Policy, Elsevier, vol. 40(6), pages 875-885, July.
    14. K. Tone & M. Tsutsui, 2015. "How to Deal with Non-Convex Frontiers in Data Envelopment Analysis," Journal of Optimization Theory and Applications, Springer, vol. 166(3), pages 1002-1028, September.
    15. Wang, Derek D., 2019. "Performance-based resource allocation for higher education institutions in China," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 66-75.
    16. Zhang, Ganggang & Wu, Jie & Zhu, Qingyuan, 2020. "Performance evaluation and enrollment quota allocation for higher education institutions in China," Evaluation and Program Planning, Elsevier, vol. 81(C).
    17. António Afonso & Mariana Santos, 2008. "A Dea Approach To The Relative Efficiency Of Portuguese Public Universities," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(1), pages 67-88.
    18. BERBEGAL MIRABENT, Jasmina & SOLÉ PARELLADA, Francesc, 2012. "What Are We Measuring When Evaluating Universities’ Efficiency?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(3).
    19. Joseph Calhoun & Joshua Hall, 2013. "Data Envelopment Analysis of Relative Efficiencies of Public Institutions of Higher Learning," Working Papers 13-06, Department of Economics, West Virginia University.
    20. Chia-Nan Wang & Kun-Zhong Li, 2011. "A candidates selection approach for district alliance of university incubators," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(4), pages 769-781, June.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:56455. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.