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Characterizing the European university system: a preliminary classification using census microdata

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  • Andrea Bonaccorsi
  • Cinzia Daraio

Abstract

The paper addresses the issue of characterization and classification of universities in the European system, by using the recently developed Aquameth dataset. Preliminary cluster analysis based on structural variables identifies systematic differences in size. However, this structural distinction is associated with differences in strategic orientation of universities (towards research or towards teaching, respectively) only in a few countries. In most European countries there are no discernible differences across universities along these dimensions. The paper argues that countries in which universities are more differentiated according to research or teaching dimensions have implemented differentiation policies through a variety of policy instruments. In turn, these countries also are ranked high in international rankings of universities. This suggests a structural linkage between the poor performance of European universities in research-based rankings and the lack of differentiation. Copyright , Beech Tree Publishing.

Suggested Citation

  • Andrea Bonaccorsi & Cinzia Daraio, 2009. "Characterizing the European university system: a preliminary classification using census microdata," Science and Public Policy, Oxford University Press, vol. 36(10), pages 763-775, December.
  • Handle: RePEc:oup:scippl:v:36:y:2009:i:10:p:763-775
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    File URL: http://hdl.handle.net/10.3152/030234209X475245
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    Citations

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    Cited by:

    1. Daraio, Cinzia & Moed, Henk F., 2011. "Is Italian science declining?," Research Policy, Elsevier, vol. 40(10), pages 1380-1392.
    2. Agasisti, Tommaso & Wolszczak-Derlacz, Joana, 2014. "Exploring universities’ efficiency differentials between countries in a multi-year perspective: an application of bootstrap DEA and Malmquist index to Italy and Poland, 2001-2011," Institute for Research on Labor and Employment, Working Paper Series qt14m8g45v, Institute of Industrial Relations, UC Berkeley.
    3. Irina V. Abankina & Fuad T. Aleskerov & Veronika Yu. Belousova & Leonid M. Gokhberg & Kirill V. Zinkovsky & Sofya G. Kiselgof & Vsevolod Petrushchenko & Sergey V. Shvydun, 2015. "Performance-Based Typology Of Universities: Evidence From Russia," HSE Working papers WP BRP 33/STI/2015, National Research University Higher School of Economics.
    4. Andreas Niederl & Andrea Bonaccorsi & Benedetto Lepori & Tasso Brandt & Daniela De Filippo & Ulrich Schmoch, 2014. "Mapping the European higher education landscape: new insights from the EUMIDA project," Chapters,in: Knowledge, Diversity and Performance in European Higher Education, chapter 1, pages iii-iii Edward Elgar Publishing.
    5. Gál, Zoltán & Ptáček, Pavel, 2010. "The role of mid-range universities in knowledge transfer: the case of non-metropolitan regions in Central and Eastern Europe (examples from Hungary and the Czech Republic)," MPRA Paper 28358, University Library of Munich, Germany, revised 18 Jan 2011.
    6. Abankina, Irina & Aleskerov, Fuad & Belousova, Veronika & Gokhberg, Leonid & Kiselgof, Sofya & Petrushchenko, Vsevolod & Shvydun, Sergey & Zinkovsky, Kirill, 2016. "From equality to diversity: Classifying Russian universities in a performance oriented system," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 228-239.
    7. Torben Schubert & Andrea Bonaccorsi & Tasso Brandt & Daniela De Filippo & Benedetto Lepori & Andreas Niederl, 2014. "Is there a European university model? New evidence on national path dependence and structural convergence," Chapters,in: Knowledge, Diversity and Performance in European Higher Education, chapter 2, pages iii-iii Edward Elgar Publishing.

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