• Pavla Mikušová Department of Public Finance, Faculty of Finance and Accounting, University of Economics, Prague, W. Churchill Sq. 4, 130 67 Prague 3, Czech Republic


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.


  • Abbott, M., Doucouliagos, C. (2003) ‘The efficiency of Australian universities: A data envelopment analysis’, Economics of Education Review, vol. 22, no. 1, pp. 89-97.

  • Act no. 475/2013 Coll., On the state budget of the Czech Republic for the year 2014.

  • Act no. 457/2016 Coll., On the state budget of the Czech Republic for the year 2017.

  • Afonso, A., Santos, M. (2005) ‘Students and Teachers: A DEA Approach to the Relative Efficiency of Portuguese Public Universities’, NEP: New Economics Papers Education.

  • Avkiran, N.K. (2001) ‘Investigating technical and scale efficiencies of Australian universities through data envelopment analysis’, Socio-Economic Planning Sciences, vol. 35, no. 1, pp. 57-80.

  • Athanassopoulos, A.D., Shale, E. (1997) ‘Assessing the comparative efficiency of higher education institutions in the UK by the means of Data Envelopment Analysis’, Education Economics, vol. 5, no. 2, pp. 117-134.

  • Banker, R.D., Charnes, A., Cooper, W.W. (1984) ‘Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis’, Management Science, vol. 30, no. 9, pp. 1078-1092.

  • Charnes, A., Cooper, W.W., Rhodes, E.L. (1978) ‘Measuring the Efficiency of Decision Making Units’, European Journal of Operational Research, vol. 2, no. 6, pp. 429-444.

  • Cooper, W.W., Seidford, L.M., Tone, K. (2007) Data Envelopment Analysis – A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Springer, 490p, ISBN 978-0-387-45283-8.

  • Cornuejols, G., Trick, M. (1998) ‘Quantitative Methods for the Management Sciences’, Carnegie Mellon University, Pittsburgh.

  • Cuenca, J.S. (2011) ‘Efficiency of State Universities and Colleges in the Philippines: A Data Envelopment Analysis’, Discussion Paper Series, no. 2011-14.

  • Cunha, M., Rocha, V. (2012) ‘On the Efficiency of Public Higher Education Institutions in Portugal: An Exploratory Study’, FEP Working Paper, No. 468.

  • DEAP V2.1 (2011) ‘A Data Envelopment Analysis (Computer) Program’. Centre for Efficiency and Productivity Analysis. [Online], Available: [29 May 2017]

  • Fischer, J. (2015) ‘Financování vysokých škol v kontextu novely VŠ zákona’. Presentation at Seminář Financování vysokého školství 2015 – problémy a perspektivy, Prague. [Online], Available: [30 May 2017].

  • Flegg, A.T., Allen, D.O., Field, K., Thurlow, T.W. (2003) ‘Measuring the Efficiency and Productivity of British Universities: An Application of DEA and the Malmquist Approach’, University of the West of England, Department of Economics, series Discussion Papers, no. 304.

  • Jablonský, J. (2011) ‘Models for Efficiency Evaluation in Education’, Proceedings of the 8th International Conference on Efficiency and Responsibility in Education (ERIE 2011), Prague, pp. 110-119.

  • Jablonský, J., Dlouhý, M. (2004) Modely hodnocení efektivnosti produkčních jednotek. 1. Ed. Prague, Professional Publishing, 184p, ISBN 80-86419-49-5.

  • Johnes, J. (2008) ‘Efficiency and productivity change in the English higher education sector from 1996/97 to 2004/5’, The Manchester School, vol. 76, no. 6, pp. 653-674.

  • Kantabutra, S., Tang, J.C.S. (2010) ‘Efficiency Analysis of Public Universities in Thailand’, Tertiary Education and Management, vol. 16 , no. 1, pp. 15-33.

  • Kempkes, G., Pohl, C. (2007) ‘The Efficiency of German Universities – Some Evidence from Non-Parametric and Parametric Methods’, CESifo Venice Summer Institute 2007, 18-19 July.

  • McMillan, M.L., Datta, D. (1998) ‘The Relative Efficiencies of Canadian Universities: A DEA Perspective’, Canadian Public Policy, vol. 24, no. 4, pp. 485-511.

  • Ministry of Education, Youth and Sports (MEYS), (2012) Koeficienty ekonomické náročnosti. [Online], Available: [29 May 2017].

  • Ministry of Education, Youth and Sports (MEYS), (2015a) ‘Pravidla pro poskytování příspěvku a dotací veřejným vysokým školám Ministerstvem školství, mládeže a tělovýchovy’, No. MSMT-2067/2015-1, [Online], Available: [29 May 2017].

  • Ministry of Education, Youth and Sports (MEYS), (2015b) ‘Rozpis rozpočtu vysokých škol na rok 2015’. [Online], Available: [29 May 2017].

  • Ministry of Education, Youth and Sports (MEYS), (2016a) ‘Data o studentech, poprvé zapsaných a absolventech vysokých škol. [Online], Available: [17 Mar 2017]

  • Ministry of Education, Youth and Sports (MEYS), (2016b) ‘Výroční zprávy o hospodaření veřejných vysokých škol za rok 2015’. [Online], Available: [17 Mar 2017].

  • Monitor (2017) State budget overview. [Online], Available: [17 Mar 2017]

  • Nazarko, J. Šaparauskas, J. (2014) ‘Application of DEA method in efficiency evaluation of public higher education institution’, Technological and Economic Development of Economy, vol. 20, no. 1, pp. 25-44.

  • Pascoe, S., Kirkley, J.E., Gréboval, D., Morrison-Paul, C.J. (2003) ‘Measuring and assessing capacity in fisheries. 2. Issues and methods’, FAO Fisheries Technical Paper. no. 433/2. Rome, 130p.

  • Pietrzak, M., Pietrzak, P., Baran, J. (2016) ‘Efficiency assessment of public higher education with the application of Data Envelopment Analysis: The evidence from Poland’, Online Journal of Applied Knowledge Management, vol. 4, no. 2, pp. 59-73.

  • Polouček, S. at al. (2006) ‘Bankovnictví’, 1. Edition. Praha, C. H. Beck, ISBN 80-7179-462-7.

  • St. Aubyn, M., Pina, A., Garcia, F., Pais, J. (2009) ‘Study on the efficiency and effectiveness of public spending on tertiary education’, Economic Papers no. 390, European Comission.

  • Wolszczak-Derlacz, J., Parteka, A. (2011) ‘Efficiency of European public higher education institutions: a two-stage multicountry approach’, Scientometrics, vol. 89, pp. 887-917.

How to Cite
Mikušová, P. (2017) 'MEASURING THE EFFICIENCY OF THE CZECH PUBLIC HIGHER EDUCATION INSTITUTIONS: AN APPLICATION OF DEA', Journal on Efficiency and Responsibility in Education and Science, vol. 10, no. 2, pp. 58-63.
Research Paper


e-learning; higher education; binomial logistic regression