Education Performance of Czech Public Higher Education Institutions Using Data Envelopment and Panel Regression Analysis

Authors

DOI:

https://doi.org/10.7160/eriesj.2023.160405

Keywords:

Czech environment, Data Envelopment Analysis, Education efficiency, Education factors, Panel regression model, Public universities

Abstract

The priority goals of the development of Czech higher education include ensuring the quality of its activities, improving the availability and relevance of flexible forms of education, and increasing efficiency in teaching and research. Several professional articles evaluated educational efficiency, but the proposed models did not include unemployed graduate students. The paper assesses education efficiency at public universities in the Czech Republic in 2020-2021 using an extended Data envelopment model with undesirable outputs, non-proportional and non-radial measures of distance from the efficient frontier. The influence of selected economic, social, regional and institutional factors on education efficiency is estimated by a panel regression model using the Feasible generalized least squares method. The results document the level and development of education efficiency and find insufficient reduction of unemployed graduates as a critical problem of inefficiency. More prominent universities achieve higher education efficiency. The main statistically significant factors influencing changes in education efficiency are population density, the unemployment rate, the location of the university in larger urban centres and the number of students per university employee.

Author Biography

Jana Hančlová, VŠB-TU Ostrava

Jana Hančlová is a full professor in the Department of Systems Engineering and Informatics, VSB-Technical University of Ostrava, Czech Republic. Areas of interest include Econometrics and Operations Research. She has contributed to numerous international conferences as a chair, presenter, organizer, and Scientific committee member. She has experience in leading and collaborating on many successful research projects.

References

Abbott, M. and Doucouliagos C. (2003) ‘The efficiency of Australian Universities: a data envelopment analysis’, Economics and Education Review, Vol. 22, No. 1, pp. 89–97. https://doi.org/10.1016/S0272-7757(01)00068-1

Bai, J. S., Choi, S. H. and Liao, Y. (2021) ‘Feasible generalized least squares for panel data with cross-sectional and serial correlations‘, Empirical Economics, Vol. 60, No. 1, pp. 309–326. https://doi.org/10.1007/s00181-020-01977-2

Baltagi, B. H. (2008). Econometric Analysis of Panel Data, London, England: John Wiley & Sons Ltd.

Banker, R. D., Charnes, A. and 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. https://doi.org/10.1287/mnsc.30.9.1078

Braunerhjelm, P. (2022) ‘Rethinking stabilization policies; Including supply-side measures and entrepreneurial processes’, Small Business Economics, Vol. 58, pp. 963–983. https://dx.doi.org/10.1007/s11187-021-00520-6

Breusch, T. S. and Pagan, A. R. (1980) ‘The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics’, Review of Economic Studies, Vol. 47, No. 1, pp. 239–253. https://doi.org/10.2307/2297111

Bukhari, E., Dabic, M., Shifrer, D., Daim, T. and Meissner, D. (2021) ‘Entrepreneurial university: The relationship between smart specialization innovation strategies and university-region collaboration, Technology in Society, Vol. 65, 101560. https://doi.org/10.1016/j.techsoc.2021.101560

Campbell, S. G. and Üngör, M. (2020) ‘Revisiting human capital and aggregate income differences’, Economic Modelling, Vol. 91, pp. 43–64. https://dx.doi.org/10.1016/j.econmod.2020.05.016

Charnes, A., Cooper, W. W. and Rhodes, E. (1978) ‘Measuring efficiency of decision making units’. European Journal of Operational Research, Vol. 2, No. 6, pp. 429–444. https://doi.org/10.1016/0377-2217(78)90138-8

Chung, Y. H., Färo, R. and Grosskopf, S. (1997) ‘Productivity and undesirable outputs: A directional distance function approach’. Journal of Environmental Management, Vol. 51, No. 3, pp. 229–240. https://doi.org/10.1006/jema.1997.0146

Cooper, W. W., Seiford, L. M. and Tone, K. (2007) Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software, (2nd ed.). New York, USA: Springer.

Czech Ministry of Education, Youth and Sports (MEYS) (2021) The Strategic Plan of Ministry for Higher Education for period form 2021. [Online], Available: https://www.msmt.cz/uploads/odbor_30/DH/SZ/strategic_plan_2021_.pdf [27 Jun 2023].

De la Hoz, E., Zuluaga, R. and Mendoza, A. (2021) ‘Assessing and Classification of Academic Efficiency in Engineering Teaching Programs’, Journal on Efficiency and Responsibility in Education and Science, Vol. 14, No. 1, pp. 41–52. https://dx.doi.org/10.7160/eriesj.2021.140104

Demosthenous, A. (2017) Education and Economic Growth: Measuring Efficiency in Education Through DEA Method Programs, Handbook of Research on Policies and Practices for Sustainable Economic Growth and Regional Development – Advances in Finance, Accounting, and Economics, pp. 51–60, Hershey, Pennsylvania, USA: IGI Global. https://dx.doi.org/10.4018/978-1-5225-2458-8.ch005

Dufrechou, P. A. (2016) ‘The efficiency of public education spending in Latin America: A comparison to high-income countries’, International Journal of Educational Development, Vol. 49, pp. 188–203. https://doi.org/10.1016/j.ijedudev.2016.03.005

European Education and Culture Executive Agency (2020) The European higher education area in 2020: Bologna process implementation report, Eurydice, Luxembourg, Publications Office of the European Union. https://dx.doi.org/10.2797/756192

Eurostat (2023a) Students enrolled in tertiary education by education level, programme orientation, sex, type of institution and intensity of participation, [Online], Available: https://ec.europa.eu/eurostat/databrowser/view/EDUC_UOE_ENRT01__custom_6964978/default/table [27 Jun 2023].

Eurostat (2023b) An official website of the European Union, [Online], Available: https://ec.europa.eu/eurostat/web/main/data/database [27 Jun 2023].

Fatima, S., Chen, B., Ramzan, M. and Abbas, Q. (2020) ‘The nexus between trade openness and GDP growth: Analyzing the role of human capital accumulation’, Sage Open, Vol. 10, No. 4. https://dx.doi.org/10.1177/2158244020967377

Flegl, M. and Vltavska, K. (2013) ‘Efficiency at Faculties of Economics in the Czech Public Higher Education Institutions: Two Different Approaches’, International Education Studies, Vol. 6, No. 10, pp. 1–12. https://doi.org/10.5539/ies.v6n10p1

Flegl, M., Ticha, I. and Stanislavska, L. K. (2013) ‘Innovation of Doctoral Studies at the FEM CULS Prague’, Journal on Efficiency and Responsibility in Education and Science, Vol. 6, No. 4, pp. 265–280. https://doi.org/10.7160/eriesj.2013.060405

Ferro, G. and Romero, C. (2021) ’The Productive Efficiency of Science and Technology Worldwide: A Frontier Analysis’, Journal on Efficiency and Responsibility in Education and Science, Vol. 14, No. 4, pp. 217–230. https://doi.org/10.7160/eriesj.2021.140402

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. https://doi.org/10.7160/eriesj.2017.100204

Mikušová, P. (2015) ‘An Application of DEA Methodology in Efficiency Measurement of the Czech Public Universities’, Procedia Economics and Finance, Vol. 25, pp. 569–578. https://doi.org/10.1016/S2212-5671(15)00771-6

Navas, L. P., Montes, F., Abolghasem, S., Sala, R. J., Toloo, M. and Zarama. R. (2020) ‘Colombian higher education institutions evaluation’, Socio-Economic Planning Sciences, Vol. 71, 100801. https://doi.org/10.1016/j.seps.2020.100801

OECD (2023) OECD Education Policy Perspectives, Organisation for Economic Co-operation and Development, [Online], Available: https://doi.org/10.1787/5cc2d673-en [27 Jun 2023].

Oyinlola, M. A., and Adedeji, A. A. (2021) ‘Tax structure, human capital, and inclusive growth: a sub-Saharan Africa perspective’, Journal of Public Affairs, Vol. 22, No. 4, e2670. https://dx.doi.org/10.1002/pa.2670

Pedro, E. M., Leitao, J. and Alves, H. (2022) ‘Do socially responsible higher education institutions contribute to sustainable regional growth and innovation?’, International Journal of Sustainability in Higher Education, Vol. 22, No. 8, pp. 232–254. http://dx.doi.org/10.1108/IJSHE-09-2021-0400

Qi D., Ali A., Li T., Chen Y-C. and Tan J. (2022) ‘An empirical analysis of the impact of higher education on economic growth: The case of China. Front’, Frontiers in Psychology, Vol. 13, 959026. https://dx.doi.org/10.3389/fpsyg.2022.959026

Rossi, F. (2020) ‘Human capital and macroeconomic development: a review of the evidence’, The World Bank Research Observer, Vol. 35, No. 3, pp. 227–262. https://dx.doi.org/10.1093/wbro/lkaa002

Rychlík, M. (2018) Stát potichu roztřídil vysoké školy do čtyř kategorií. Jak vypadá výsledek? [The state has quietly classified universities into four categories. What does the result look like?], [Online], Available: https://www.lidovky.cz/domov/vysoke-skoly-se-boji-byt-becko-stat-je-neverejne-roztridil-do-ctyr-barevnych-skupin.A180704_152106_ln_domov_ele [4 Jul 2018].

Education Policy Center (2022) Databáze při pedagogické fakultě Karlovy Univerzity v Praze [Database at the Pedagogical Faculty of Charles University in Prague], [Online], Available: http://www.strediskovzdelavacipolitiky.info/app/navs2010/ [30 Dec 2022].

Toloo, M. and Hanclova J. (2021) ‘Multi-valued measures in DEA in the presence of undesirable outputs’, Omega, Vol. 94, 102041. https://doi.org/10.1016/j.omega.2019.01.010

Tone, K. (2001) ‘A slacks-based measure of efficiency in data envelopment analysis’, European Journal of Operational Research, Vol. 130, No. 3, pp. 498–509. https://doi.org/10.1016/S0377-2217(99)00407-5

Wegener, M. and Soummakie, B. (2020) A Two-Stage Research Performance Assessment of Turkish Higher Education Institutions Using Data Envelopment Analysis and Beta Regression, [Online], Available: https://www.researchgate.net/publication/342503081 [27 Jun 2023].

Zhou, P., Ang, B. W. and Wang, H. (2012) ‘Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach’, European Journal of Operational Research, Vol. 221, No. 3, pp. 625–635. https://doi.org/10.1016/j.ejor.2012.04.022

Additional Files

Published

2023-12-31

How to Cite

Hančlová, J. and Chytilová, L. (2023) ’Education Performance of Czech Public Higher Education Institutions Using Data Envelopment and Panel Regression Analysis’, Journal on Efficiency and Responsibility in Education and Science, vol. 16, no. 4, pp. 313–328. https://doi.org/10.7160/eriesj.2023.160405

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