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How and why does cost efficiency of universities differ across European countries? An explorative attempt using new microdata

In: Knowledge, Diversity and Performance in European Higher Education

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  • Zara Daghbashyan
  • Enrico Deiaco
  • Maureen McKelvey

Abstract

For the first time, data on individual European higher education institutions (rather than data aggregated at the country level) is used in order to examine a wide range of issues that are both theoretically challenging and relevant from policy-making and societal perspectives. The contributors integrate statistics on universities and colleges with other sources of information such as patents, start-up firms and bibliometric data, and employ rigorous empirical methods to address a range of key questions, including: what is the role of non-university tertiary education, such as vocational training? How important is the private sector? Are European universities internationalized? Are they efficient from the point of view of costs and educational output? Are there pure research universities in Europe? How do universities contribute to economic growth?

Suggested Citation

  • Zara Daghbashyan & Enrico Deiaco & Maureen McKelvey, 2014. "How and why does cost efficiency of universities differ across European countries? An explorative attempt using new microdata," Chapters, in: Andrea Bonaccorsi (ed.), Knowledge, Diversity and Performance in European Higher Education, chapter 9, pages iii-iii, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:15266_9
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    References listed on IDEAS

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    Cited by:

    1. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Efficiency and economies of scale and specialization in European universities: A directional distance approach," Journal of Informetrics, Elsevier, vol. 9(3), pages 430-448.
    2. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
    3. Marcel Clermont & Julia Schaefer, 2019. "Identification of Outliers in Data Envelopment Analysis," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(4), pages 475-496, October.
    4. Andrea Bonaccorsi & Cinzia Daraio & Leopold Simar, 2014. "Efficiency and economies of scale and scope in European universities. A directional distance approach," DIAG Technical Reports 2014-08, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    5. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).

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