Performance-Based Typology of Universities: Evidence from Russia

40 Pages Posted: 17 Jan 2015 Last revised: 24 Feb 2015

See all articles by Irina Abankina

Irina Abankina

National Research University Higher School of Economics

Fuad T. Aleskerov

National Research University Higher School of Economics

Veronika Belousova

National Research University Higher School of Economics

Leonid Gokhberg

National Research University Higher School of Economics

Kirill Zinkovsky

National Research University Higher School of Economics

Sofya Kiselgof

National Research University Higher School of Economics

Vsevolod Petrushchenko

National Research University Higher School of Economics

Sergey Shvydun

National Research University Higher School of Economics; Trapeznikov Institute of Control Sciences RAS

Date Written: January 15, 2015

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.

Keywords: higher education institutions (HEIs), typology, research and educational activities of HEIs, hierarchical clustering, data envelopment analysis, efficiency, performance.

JEL Classification: C14, C38, D83, O32

Suggested Citation

Abankina, Irina and Aleskerov, Fuad T. and Belousova, Veronika and Gokhberg, Leonid and Zinkovsky, Kirill and Kiselgof, Sofya and Petrushchenko, Vsevolod and Shvydun, Sergey, Performance-Based Typology of Universities: Evidence from Russia (January 15, 2015). Higher School of Economics Research Paper No. WP BRP 33/STI/2015 , Available at SSRN: https://ssrn.com/abstract=2550217 or http://dx.doi.org/10.2139/ssrn.2550217

Irina Abankina

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Fuad T. Aleskerov

National Research University Higher School of Economics ( email )

20 Myasnitskaya Ulitsa
Moscow, 101000
Russia

Veronika Belousova (Contact Author)

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Leonid Gokhberg

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Kirill Zinkovsky

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Sofya Kiselgof

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Vsevolod Petrushchenko

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Sergey Shvydun

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Trapeznikov Institute of Control Sciences RAS ( email )

65 Profsoyuznaya street
Moscow, 117997
Russia

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