Μέτρηση της σχετικής Τεχνικής Αποδοτικότητας των Συστημάτων Ανώτατης Εκπαίδευσης των χωρών της Ευρωπαϊκής Ένωσης: Συγκριτική Αξιολόγηση, κατά τη χρονική περίοδο 2016 – 2020


Στυλιανός Μαργαρίτης
Κωνσταντίνος Τσαμαδιάς
Abstract

Abstract


This research paper assesses the relative technical efficiency of the Higher Education (HE) systems of the countries of the European Union / EE, the Eurozone / EZ and other selected groups of countries, making use of 3 inputs and 5 outputs, with Output Orientation and the hypothesis of Variable Returns of Scale, as well as its average rates of change, during the period 2016-2020.


The findings of the empirical analysis reveal that the average performance of EU countries' HE systems in terms of TE-OO is 0.892 with a range of variation of 0.479 and an average rate of change of 0.05 with a range of variation of 51.30. The average value of TE-OO of the EA systems of the EZ countries is 0.899 with a range of change of 0.479 and an average rate of change of 0.07 with a range of change of 51.30. That is, the EA systems of the EE countries had a higher average performance.


 Key words: Efficiency, Higher Education, Evaluation.

Article Details
  • Section
  • Εισηγήσεις
References
Agasisti, T. andDalBianco, A. (2009).Reforming the university sector: effects on teachingefficiency – evidence from Italy.Higher Education, 57(4), 477–498.
Alli, A.I., &Seiford, L.M. (1993). The Mathematical Programming Approach to Efficiency Analysis, in Fried, H.O., C.A.K.’in Fried HO and S.S. Schmidt (Eds.), The Measurement of Productive Efficiency: Techniques and Applications. Oxford University Press, New York, 120–159.
Andreea - Alice Cristu (2017). ASPECTS REGARDING THE EFFICIENCY OF THE TERTIARY EDUCATION IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT.North Economic Review, Ι(1).
Badri, M., Mohaidat, J., & Mourad, T.E. (2014). Measuring the Efficiency of Public Schools using Data Envelopment Analysis-An Exploratory Study.Journal of Education and Ptactice, 37, 215-231.
Banker, R., Charnes, A., & Cooper, W. (1984). Some models for the estimation of technical and scale inefficiencies in data envelopment analysis.Management Science,30(9), 1078–1092.
Charnes, A., Cooper, W.W., & Rhodes, E. (1978). Measuring the efficiency of decision makingunits. European Journal of Operational Research,2(6), 429–444.
Coelli, T. (1996). A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer)
Program,Working Paper No 96/08, Centre for Efficiency and Productivity.Department of Economics, University of New England, Australia.
Coelli, T.J., Prasada, R.D.S., O’Donnell Ch. J., &Battese, G.E. (2005). An Introduction to Efficiency and Productivity Analysis.Second Edition. Springer USA.
Cooper, W., Seiford, L., & Tone, K. (2007). Data Envelopment Analysis: A comprehensive Textwith Models, Applications, References and DEA-Solver Software. New York: Springer.
Farrel, M. J. (1957). The Measurement of productive efficiency. Journal ofRoyal StatisticalSociety, 120(3), 253–281.
Geraint Johnes and Kaoru Tone (2016). The efficiency of higher education institutions in England revisited: comparing alternative measures. Tertiary Education and Management, 23(3), 191–205.
Giannias, D., & Sfakianaki, E. (2011). Multicriteria analysis-based total university evaluation: the case of the Greek departments of economics. International Journal of Education Economics and Development, 2(3), 245–259.
Jamil Salmi, Roberta Malee Bassett (2014).The equity imperative in tertiary education: Promoting fairness and efficiency. International Review of Education, 60(3), 361-377.
Johnes, J. (2008). Efficiency and productivity change in the English Higher Education sector from1996/97 to 2004/05. The Manchester School, 76(2), 653–674.
Joanna Wolszczak-Derlacz , Aleksandra Parteka (2011). Efficiency of European public higher education institutions: a two-stage multicountryapproach.Scientometrics, 89(3):887-917.
How, B., Jin H., Xing Shi 2019). Efficiency of university–industry collaboration and its determinants: evidence from Chinese leading universities. Industry and Innovation, 28(4), 1-30.
Katharaki, M., &Katharakis, G. (2010). A comparative assessment of Greek universities efficiencyusing quantitative analysis. International Journal of Educational Research, 49(4-5), 115–128.
Kristina Stefanova & Nikolay Velichkov (2020). ANALYSIS OF THE EFFICIENCY OF TERTIARY EDUCATIONEXPENDITURE IN EUROPEAN UNION MEMBER STATES FROM CENTRAL AND EASTERN EUROPE:AN EFFICIENCY FRONTIER APPROACH.South-Eastern Europe Journal of Economics, 1, 115-128.
Kyratzi, P., Tsamadias, C., & Giokas, D. (2015). Measuring the efficiency and productivity change of Greek universities over the time period 2005-2009.International Journal of Education Economics and Development, 6(2), 111–129.
Lilia Yotova, Kristina Stefanova (2017). Efficiency of Tertiary Education Expenditure in CEECountries: Data Envelopment Analysis. Economic Alternatives, 3, 352-364.
Lovell, C.A. K. (1993). Production frontiers and Productive efficiency, in the easurement of Productive Efficiency.New York: Oxford UniversityPress, 3-67.
Maragos, E.K., & Despotis, D.K. (2003). Evaluation of High School Perfornance: A Data Envelopment Analysis Approach. APORS proceedings, N. Delhi, India, 435-442.
Margaritis Stylianos, Tsamadias Constantinos, Argyropoulos Elias (2022), Investigating theRelative Efficiency and Productivity Change of Upper Secondary Schools: The case of Schools in the region of Central Greece.Journal of the Knowledge Economy. 13(1), 128-160.
Marius Sorin Dinca et al. (2021). Assessment of the European Union’s Educational Efficiency.Sustainability, 13, 3116.
Marco Marto et al. (2022). An Evaluation of the Efficiency of Tertiary Education in the Explanation of thePerformance of GDP per Capita Applying Data Envelopment Analysis (DEA), Sustainability, 14, 15524.
NadovezaΟ.J.&GarduanKedzo, Μ. (2018). Efficiency vs effectiveness: An analysis of tertiary education across Europe. Public Sector Economics, 42(4), 381-414.
Nataraja, N., & Johnson A. (2011). Guidelines for using variables selection techniques in data envelopment analysis. European Journal of Operational Research, 215, 662–669.
Prabhat Ranjan & Sanjeet Singh (2021). Efficiency Analysis of Higher Education Institutions: se
of Categorical Variables. International Journal of Mathematical, Engineering and ManagementSciences, 6(6), 1518-1532.
Seiford, L. M. (1996). Data Envelopment Analysis. ‘The Evolution of the State of the Art (1978-1995). Journal of Productivity Analysis, 7,99–138.
Sotiriadis D., Menexes G.,Tsamadias C.(2018). Investigating the Efficiency of Senior Secondary Schools: Evidence from Schools in the Greek region of Central Macedonia’, nternationalJournal of Business and Economic Sciences Applied Research, 11(2), 36-43.
Subhash, C. R. (2004). Data Envelopment Analysis. Theory and Techniques for Economics andOperations Research. Cambridge university press.
Tsamadias, C., &Kyratzi, P. (2014). Efficiency and productivity of Greek higher technologicaleducational institutions: an assessment over the period 2005-2009. International Journal of Education Economics and Development, 5(3), 264–279.
Wolszczak-Derlacz, Ι. (2017). An evaluation and explanation of (in)efficiency in higher education institutions in Europe and the U.S. with the application of two-stage semiparametric DEA. ResearchPolicy, 46, 1595-1605.
ΕλληνικήΒιβλιογραφία
Μαργαρίτης, Σ. (2022). «Μέτρησητης Αποδοτικότητας και της Παραγωγικότητας των Σχολικών Μονάδων της Ανώτερης Δευτεροβάθμιας Εκπαίδευσης: Η περίπτωση των Λυκείων της Περιφέρειας Στερεάς Ελλάδας, κατά τη χρονική περίοδο 2016-2019». Διδακτορική Διατριβή, Πανεπιστήμιο Θεσσαλίας, Σχολή Θετικών Επιστημών, Τμήμα Πληροφορικής και Επικοινωνιών.
Στεργίου, Κ. (2017). Διερεύνηση και αξιολόγηση της αποτελεσματικότητας και της αποδοτικότητας της εκπαίδευσης.Διδακτορική Διατριβή, Παιδαγωγική Σχολή Φλώρινας.