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Higher Education System Restructuring: Evaluating Results of University Mergers

Authors: Zinkovsky, K. V.; Derkachev, P. V.;

Higher Education System Restructuring: Evaluating Results of University Mergers

Abstract

The main focus of the article is the question if mergers, takeovers, and organizational restructuring lead to increased university efficacy. The task of defining efficacy with several "input" and "output" performance indicators nowadays is easily solved by a data envelope analysis (DEA). Two models for evaluating educational and academic efficacy of a university. Calculations use DEA model oriented towards input (Input Orientated) with constant return to scale (Constant Returns to Scale, CRS). In order to conduct comparative analysis of groups of universities undergoing restructuring process of different magnitude the authors suggest several university classifications: - according to the number of merged and/or liquidated units; - restructuring completion period; - restructuring mechanism type; - including mid level professional education into the university under evaluation. In order to test the suggested hypotheses the authors used non parametric statistic methods of average comparison. The pool for this research covered 132 universities with the Russian Federation Ministry of Education and Science as a founder. The research has not identified decreased efficacy of universities as a result of restructuring process. It has turned out that universities actively participating in restructuring processes have become more effective in comparison with other universities. The research has not observed the effect of temporary decrease and following growth of efficacy at organizations undergoing mergers or takeovers. The research has not supported the hypothesis of decreasing university efficacy as a result of taking over mid level professional education institution. The results of the research clearly indicate the lag in efficacy as compared to the leading competitors where 2010 is a reference year. The authors understand that testing whether suggested hypotheses are true or false and require more detailed research of the university as compared to 2010. As many countries have accumulated sufficient experience of higher education restructuring the results of research into Russian universities restructuring making a comparison of the efficacy of the leading competitors according to numbers in 2010. The authors understand that it will take time to see if their suggestion are true or false. As foreign higher education restructuring materials can be easily downloaded. The results of the research of Russian Federation universities restructuring allow for provide conclusions, using accumulated theoretical concepts for explaining and predicting possible consequences of using different restricting mechanisms. The article uses academically acknowledged envelope data analysis method. This method is for the first time used to compare university efficacy in dynamics.

Keywords

UNIVERSITY MERGERS, RESTRUCTURING HIGHER EDUCATION SYSTEM, REMOTE BRANCHES LIQUIDATION, РЕСТРУКТУРИЗАЦИЯ СИСТЕМЫ ВЫСШЕГО ОБРАЗОВАНИЯ, EDUCATION MANAGEMENT, ПРИСОЕДИНЕНИЕ ВУЗОВ, UNIVERSITY EFFICACY MONITORING, ОБОЛОЧЕЧНЫЙ АНАЛИЗ ДАННЫХ, ЭКОНОМИКА ОБРАЗОВАНИЯ, УПРАВЛЕНИЕ ОБРАЗОВАНИЕМ, EDUCATION ECONOMICS, МОНИТОРИНГ ЭФФЕКТИВНОСТИ ВУЗОВ, ЛИКВИДАЦИЯ ФИЛИАЛОВ, DATA ENVELOPE ANALYSIS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
gold