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The Russian University Excellence Initiative: Is It Really Excellence That Is Promoted?

Author

Listed:
  • Nataliya Matveeva

    (National Research University Higher School of Economics)

  • Ivan Sterligov

    (National Research University Higher School of Economics)

  • Maria Yudkevich

    (National Research University Higher School of Economics)

Abstract

We estimate the effect of the Russian University excellence program (Project 5-100) initiated by the Government in 2013 on research performance of top Russian universities which received, on a competitive basis, substantial financial support within this program. To do so we use an econometric analysis of longitudinal data applying a linear growth model with mixed effects, with different characteristics of research output as dependent variables. We demonstrate that there is a significant positive effect of Project 5-100 which appeared from the very first years of its implementation – that is, the universities receiving financial support demonstrate a substantial, steady increase in publications both measured in total numbers and per capita when compared to universities from the control group. An analysis of the structure of publication output allows us to demonstrate that not only quantitative but also qualitative growth has taken place, although the impact of Project 5-100 on quality is heterogeneous across universities and disciplines. Finally, we examine to what extent the change in the structure of research output may be attributed to changes in research collaboration patterns.

Suggested Citation

  • Nataliya Matveeva & Ivan Sterligov & Maria Yudkevich, 2019. "The Russian University Excellence Initiative: Is It Really Excellence That Is Promoted?," HSE Working papers WP BRP 49/EDU/2019, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:49edu2019
    as

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    References listed on IDEAS

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    Cited by:

    1. Duanhong Zhang & Wenjia Ding & Yang Wang & Siwen Liu, 2022. "Exploring the Role of International Research Collaboration in Building China’s World-Class Universities," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    2. Nataliya Matveeva & Anuška Ferligoj, 2020. "Scientific collaboration in Russian universities before and after the excellence initiative Project 5-100," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2383-2407, September.
    3. Xiaojie Fan & Hong Liu & Yang Wang & Yawen Wan & Duanhong Zhang, 2022. "Models of Internationalization of Higher Education in Developing Countries—A Perspective of International Research Collaboration in BRICS Countries," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    4. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann & Yousif Ahmed Al Wajih, 2023. "Saudi Arabia research: academic insights and trend analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5595-5627, October.
    5. Viktor Koksharov & Daniil Sandler & Pavel Kuznetsov & Aleksandr Klyagin & Oleg Leshukov, 2021. "The Pandemic as a Challenge to the Development of University Networks in Russia: Differentiation or Collaboration?," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 52-73.
    6. Ruben Miranda & Esther Garcia-Carpintero, 2019. "Comparison of the share of documents and citations from different quartile journals in 25 research areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 479-501, October.

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    More about this item

    Keywords

    research universities; university research performance; scientometrics; research collaboration; Web of Science; university excellence initiatives; Russia;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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