Efficiency of European public higher education institutions: a two-stage multicountry approach

The purpose of this study is to examine efficiency and its determinants in a set of higher education institutions (HEIs) from several European countries by means of non-parametric frontier techniques. Our analysis is based on a sample of 259 public HEIs from 7 European countries across the time period of 2001–2005. We conduct a two-stage DEA analysis (Simar and Wilson in J Economet 136:31–64, 2007), first evaluating DEA scores and then regressing them on potential covariates with the use of a bootstrapped truncated regression. Results indicate a considerable variability of efficiency scores within and between countries. Unit size (economies of scale), number and composition of faculties, sources of funding and gender staff composition are found to be among the crucial determinants of these units’ performance. Specifically, we found evidence that a higher share of funds from external sources and a higher number of women among academic staff improve the efficiency of the institution.

[1]  Cláudia S. Sarrico,et al.  The European university landscape: A micro characterization based on evidence from the Aquameth project , 2011 .

[2]  Paul W. Wilson,et al.  FEAR: A software package for frontier efficiency analysis with R , 2008 .

[3]  Philippe Aghion,et al.  The Governance and Performance of Research Universities: Evidence from Europe and the U.S , 2009 .

[4]  Jill Johnes,et al.  Research Funding and Performance in U.K. University Departments of Economics: A Frontier Analysis. , 1995 .

[5]  Giovanni Abramo,et al.  The measurement of Italian universities’ research productivity by a non parametric-bibliometric methodology , 2008, Scientometrics.

[6]  Cinzia Daraio,et al.  Universities and Strategic Knowledge Creation , 2007 .

[7]  M. Abbott,et al.  The efficiency of Australian universities: a data envelopment analysis , 2003 .

[8]  Carlos Santos,et al.  Assessing school efficiency in Portugal using FDH and bootstrapping , 2005 .

[9]  Kaoru Tone,et al.  Data Envelopment Analysis , 1996 .

[10]  Daniel C. Monchuk,et al.  Explaining Production Inefficiency in China’s Agriculture Using Data Envelopment Analysis and Semi-Parametric Bootstrapping , 2010 .

[11]  Joanna Wolszczak-Derlacz,et al.  Dynamics of productivity in higher education: cross-european evidence based on bootstrapped Malmquist indices , 2013 .

[12]  E. Cohn,et al.  Institutions of Higher Education as Multi-product Firms: Economies of Scale and Scope , 1989 .

[13]  Susanne Warning,et al.  Performance Differences in German Higher Education: Empirical Analysis of Strategic Groups , 2004 .

[14]  P. W. Wilson,et al.  Estimation and inference in two-stage, semi-parametric models of production processes , 2007 .

[15]  Leâ Opold Simar,et al.  A general methodology for bootstrapping in non-parametric frontier models , 2000 .

[16]  Eduardo Bandrés,et al.  Efficiency Evaluation in Secondary Schools: The Key Role of Model Specification and of "Ex Post" Analysis of Results. , 1999 .

[17]  Jill Johnes,et al.  Research funding and performance in UK university departments of economics , 1995 .

[18]  Léopold Simar,et al.  Efficiency and productivity in European Universities. Exploring trade-offs in the strategic profile , 2007 .

[19]  T. Coelli,et al.  THE PERFORMANCE OF AUSTRALIAN UNIVERSITIES: CONCEPTUAL ISSUES AND PRELIMINARY RESULTS , 2005 .

[20]  M. Farrell.  The Measurement of Productive Efficiency , 1957 .

[21]  G. Kempkes,et al.  The efficiency of German universities–some evidence from nonparametric and parametric methods , 2010 .

[22]  Léopold Simar,et al.  Efficiency and University Size: Discipline-wise Evidence from European Universities , 2007 .

[23]  A. Worthington.  An Empirical Survey of Frontier Efficiency Measurement Techniques in Education , 2001 .

[24]  W. Robert J. Alexander,et al.  A two-stage double-bootstrap data envelopment analysis of efficiency differences of New Zealand secondary schools , 2010 .

[25]  Léopold Simar,et al.  Advanced indicators of productivity of universitiesAn application of robust nonparametric methods to Italian data , 2006, Scientometrics.

[26]  N. Avkiran.  INVESTIGATING TECHNICAL AND SCALE EFFICIENCIES OF AUSTRALIAN UNIVERSITIES THROUGH DATA ENVELOPMENT ANALYSIS , 2001 .

[27]  W. Cooper,et al.  Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software , 1999 .

[28]  Cinzia Daraio,et al.  Exploring size and agglomeration effects on public research productivity , 2005, Scientometrics.

[29]  J. Johnes.  Data Envelopment Analysis and Its Application to the Measurement of Efficiency in Higher Education. , 2006 .

[30]  Tommaso Agasisti,et al.  Assessing the Cost Efficiency of Italian Universities , 2007 .

[31]  Tommaso Agasisti,et al.  Data envelopment analysis to the Italian university system: theoretical issues and policy implications , 2006 .

[32]  Timothy Coelli,et al.  An Introduction to Efficiency and Productivity Analysis , 1997 .

[33]  J. Johnes.  Measuring Teaching Efficiency in Higher Education : an Application of Data Envelopment Analysis to Graduates from UK Universities 1993 , 2003 .

[34]  Subhash C. Ray,et al.  Resource-Use Efficiency in Public Schools: A Study of Connecticut Data , 1991 .

[35]  M. Obersteiner,et al.  Efficiency and Economies of Scale in Academic Knowledge Production , 1999 .

[36]  Geraint Johnes,et al.  Beyond frontiers: comparing the efficiency of higher education decision‐making units across more than one country , 2009 .

[37]  Andrew C. Worthington,et al.  Efficiency, technology and productivity change in Australian universities, 1998–2003 , 2008 .

[38]  Noel Hyndman,et al.  Efficiency in the provision of university teaching and research: An empirical analysis of UK universities , 1995 .

[39]  P. W. Wilson.  Detecting Outliers in Deterministic Nonparametric Frontier Models with Multiple Outputs , 1993 .

[40]  篠原 正明,et al.  William W.Cooper,Lawrence M.Seiford,Kaoru Tone 著, DATA ENVELOPMENT ANALYSIS : A Comprehensive Text with Models, Applications, References and DEA-Solver Software, Kluwer Academic Publishers, 2000年, 318頁 , 2002 .

[41]  Tarmo Räty.  Efficient Facet Based Efficiency Index: A Variable Returns to Scale Specification , 2002 .

[42]  K. Field,et al.  Measuring the efficiency of British universities: a multi‐period data envelopment analysis , 2004 .

[43]  Guido Ferrari,et al.  Evaluating technical efficiency of human capital formation in the Italian university: Evidence from Florence , 2005, Stat. Methods Appl..

[44]  Jill Johnes.  Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993 , 2006, Eur. J. Oper. Res..

[45]  Aleksandra Parteka,et al.  Scientific Productivity of Public Higher Education Institutions in Poland: A Comperative Bibliometric Analysis , 2010 .

[46]  Cinzia Daraio,et al.  Universities and Strategic Knowledge Creation. Specialization and Performance in Europe , 2007 .

[47]  Karl-Heinz Leitner,et al.  The impact of size and specialisation on universities’ department performance: A DEA analysis applied to Austrian universities , 2007 .

[48]  Günter Fandel,et al.  On the performance of universities in North Rhine-Westphalia, Germany: Government's redistribution of funds judged using DEA efficiency measures , 2007, Eur. J. Oper. Res..

[49]  T. Kirjavainen,et al.  Efficiency differences of finnish senior secondary schools: An application of DEA and Tobit analysis , 1998 .

[50]  Robert Crouchley,et al.  Stochastic frontier estimation of a CES cost function: the case of higher education in Britain , 2002 .