Abstract
The Ministry of Education, Youth and Sports (MEYS) financially supports the Czech higher education institutions (HEIs). The largest amount of the MEYS’s budget intended for HEIs subsidizes the public HEIs. Therefore, the aim of this paper is to measure the efficiency of the public higher education institutions. This will help us to determine which public HEIs can handle the sources (inputs) efficiently and how much the inefficient public HEIs should change their outputs to become efficient. We measure their teaching efficiency using data from 2015 and the DEA methodology. We run two analyses. The first analysis compares all the HEIs with each other. It shows that we have to consider the specialization of the HEIs. The second analysis divides the HEIs into three groups using coefficients of economic difficulties. This analysis shows that dividing the HEIs into groups helps us to eliminate the large differences in inputs and outputs. Therefore, we obtain better information about the efficiency of the HEIs.
Highlights
The Czech higher education system includes three types of higher education institutions – 26 public HEIs, 37 private HEIs and 2 state HEIs
The results show that AFA should produce more people skilled in art
Some HEIs (PU, OU, UWB) have efficiency score very similar in both models
Summary
The Czech higher education system includes three types of higher education institutions (hereafter HEIs) – 26 public HEIs, 37 private HEIs and 2 state HEIs (in 2016). Its expenses were 143 668 million CZK in 2015, representing 11.1 % of the state budget (Monitor, 2017). The allowance and subsidies granted to HEIs follow the MEYS’s rules (MEYS, 2015a). This budget is divided into budget headings and indicators. The MEYS using this methodology supports the diversification of higher education institutions in the Czech Republic, motivates HEIs to higher and better performance and to higher efficiency of the educational process. Many methods can be used, for example parametric and non-parametric methods Parametric methods, such as Stochastic Frontier Analysis (SFA), are stochastic and set the concrete production function, usually the cost or profit function. Non-parametric methods, for example Data Envelopment Analysis (DEA) or the Free
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