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Performance-Based Typology Of Universities: Evidence From Russia

Author

Listed:
  • Irina V. Abankina

    (National Research University Higher School of Economics)

  • Fuad T. Aleskerov

    (National Research University Higher School of Economics)

  • Veronika Yu. Belousova

    (National Research University Higher School of Economics)

  • Leonid M. Gokhberg

    (National Research University Higher School of Economics)

  • Kirill V. Zinkovsky

    (National Research University Higher School of Economics)

  • Sofya G. Kiselgof

    (National Research University Higher School of Economics)

  • Vsevolod Petrushchenko

    (National Research University Higher School of Economics)

  • Sergey V. Shvydun

    (National Research University Higher School of Economics)

Abstract

In recent decades, increased economic pressure and growing societal expectations have led to the introduction of performance-based funding models of public research, namely universities. In this respect, universities have started to use various strategies to adapt and develop their activities under the new framework. National governments are currently attempting to design and apply various taxonomies for structuring university infrastructure in different ways in order to facilitate the development of efficient programmes for the advancement of higher education. This paper provides a review of different approaches to university typologies, discusses the choice of indicators and mathematical tools for grouping universities using common criteria and evaluating their performance based on classical and modified DEA approaches. The authors develop a typology which was tested in the Russian context, taking into account indicators of research and educational activities implemented by domestic universities and their efficiency score. The typology is based on clustering universities by the availability of resources and research and educational performance and the combination of these results with their efficiency score. It groups universities by type and includes a decision tree for classifying them taking into account their heterogeneity. It serves as a basis for the content analysis of a wide range of universities, and for shaping targeted policies aimed at particular groups.

Suggested Citation

  • 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.
  • Handle: RePEc:hig:wpaper:33sti2015
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    References listed on IDEAS

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    Cited by:

    1. 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.

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    More about this item

    Keywords

    higher education institutions (HEIs); typology; research and educational activities of HEIs; hierarchical clustering; data envelopment analysis; efficiency; performance;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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