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Exploring efficiency differentials between Italian and Polish universities, 2001–11

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  • Tommaso Agasisti
  • Joanna Wolszczak-Derlacz

Abstract

In this study, data envelopment analysis (DEA) is used to evaluate the relative efficiency of a sample of 54 Italian and 30 Polish state universities over the period 2001–11. The investigation was conducted in two steps. Unbiased DEA efficiency scores were first estimated and then regressed on external variables to quantitatively assess the direction and size of the impact of potential determinants. The analysis reveals a strong heterogeneity in the efficiency scores for each country, which is more pronounced than the difference in average efficiency scores between them. There is evidence that efficiency is determined by the structure of a university’s revenues and academic staff: competitive versus non-competitive resources, and the number of professors. The study also explores the variation in the efficiency and productivity over time. While changes in pure efficiency were similar between the two countries, the efficiency frontier improved more in Italy than in Poland.

Suggested Citation

  • Tommaso Agasisti & Joanna Wolszczak-Derlacz, 2016. "Exploring efficiency differentials between Italian and Polish universities, 2001–11," Science and Public Policy, Oxford University Press, vol. 43(1), pages 128-142.
  • Handle: RePEc:oup:scippl:v:43:y:2016:i:1:p:128-142.
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    File URL: http://hdl.handle.net/10.1093/scipol/scv026
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    References listed on IDEAS

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    1. David N. Figlio & Morton O. Schapiro & Kevin B. Soter, 2015. "Are Tenure Track Professors Better Teachers?," The Review of Economics and Statistics, MIT Press, vol. 97(4), pages 715-724, October.
    2. Jill Johnes, 2008. "Efficiency And Productivity Change In The English Higher Education Sector From 1996/97 To 2004/5," Manchester School, University of Manchester, vol. 76(6), pages 653-674, December.
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    Cited by:

    1. Herberholz, Lars & Wigger, Berthold U., 2021. "Efficiency of European universities: A comparison of peers," Research Policy, Elsevier, vol. 50(9).
    2. Tavares, Rafael Santos & Angulo-Meza, Lidia & Sant'Anna, Annibal Parracho, 2021. "A proposed multistage evaluation approach for Higher Education Institutions based on network Data envelopment analysis: A Brazilian experience," Evaluation and Program Planning, Elsevier, vol. 89(C).
    3. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    4. Lars Herberholz & Berthold U. Wigger, 2020. "Efficiency of European Universities: A Comparison of Peers," CESifo Working Paper Series 8044, CESifo.
    5. Agasisti, Tommaso & Barra, Cristian & Zotti, Roberto, 2016. "Evaluating the efficiency of Italian public universities (2008–2011) in presence of (unobserved) heterogeneity," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 47-58.
    6. Manuel Salas-Velasco, 2020. "Measuring and explaining the production efficiency of Spanish universities using a non-parametric approach and a bootstrapped-truncated regression," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 825-846, February.
    7. Vanesa D’Elia & Gustavo Ferro, 2019. "Empirical Efficiency Measurement in Higher Education: An Overview," CEMA Working Papers: Serie Documentos de Trabajo. 708, Universidad del CEMA.
    8. Martínez-Campillo, Almudena & Fernández-Santos, Yolanda, 2020. "The impact of the economic crisis on the (in)efficiency of public Higher Education institutions in Southern Europe: The case of Spanish universities," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    9. Wolszczak-Derlacz, Joanna, 2017. "An evaluation and explanation of (in)efficiency in higher education institutions in Europe and the U.S. with the application of two-stage semi-parametric DEA," Research Policy, Elsevier, vol. 46(9), pages 1595-1605.

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