Hodnocení efektivity vybraných vysokých škol metodou DEA

Abstract

This thesis focuses on evaluating the efficiency of public universities in the Czech Republic using a two-stage Data Envelopment Analysis (DEA) method, which divides the assessment into two parts – the funding stage and the classification stage. Its aim is to identify efficient and inefficient institutions, compare their results based on three different versions of the two-stage DEA model (basic, multiplicative, and additive), and validate them using the international Webometrics Ranking of World Universities. Calculations are performed in the GAMS software environment based on data from the period 2011–2023. The analysis revealed that the multiplicative version of the model achieves the highest average efficiency values, while the additive model shows the greatest consistency with the results of the traditional university ranking. The highest-rated institution across all variants was the University of Economics in Prague. It was also found that the main weakness of most less efficient institutions lies in the second stage of the process – classification. Overall, it can be concluded that the DEA method represents a valuable tool for the objective evaluation of university performance and can serve as an additional basis for strategic decision-making and planning in the field of higher education.