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Exploring universities’ efficiency differentials between countries in a multi-year perspective: an application of bootstrap DEA and Malmquist index to Italy and Poland, 2001-2011

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  • Agasisti, Tommaso
  • Wolszczak-Derlacz, Joana

Abstract

This study employs data envelopment analysis (DEA) to evaluate relative efficiency of a sample of 54 Italian and 30 Polish public universities for the period between 2001 and 2011. The examination is conducted in two steps: first unbiased DEA efficiency scores are estimated and then are regressed on external variables to quantitatively asses the direction and magnitude of the impact of potential determinants. The analysis shows the strong heterogeneity in the efficiency scores within each country, more pronounced than the difference in average efficiency scores between countries. There is evidence that efficiency is determined by revenues’ and academic staff’s structure: competitive versus non-competitive resources, and the number of professors among academic staff. The study also explores the variation of efficiency and productivity over time, and reveals that while pure efficiency change was similar between the two countries, the efficiency frontier improved more in Italy than in Poland.

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  • Agasisti, Tommaso & Wolszczak-Derlacz, Joana, 2014. "Exploring universities’ efficiency differentials between countries in a multi-year perspective: an application of bootstrap DEA and Malmquist index to Italy and Poland, 2001-2011," Institute for Research on Labor and Employment, Working Paper Series qt14m8g45v, Institute of Industrial Relations, UC Berkeley.
    • Handle: RePEc:cdl:indrel:qt14m8g45v
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    1. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2015. "Explaining (in)efficiency in higher education: a comparison of parametric and non-parametric analyses to rank universities," MPRA Paper 67119, University Library of Munich, Germany.
    2. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
    3. Alexander D. Gromov, 2017. "The Efficiency of Russian Higher Education Institutions and its Determinants," HSE Working papers WP BRP 40/EDU/2017, National Research University Higher School of Economics.
    4. Calogero Guccio & Marco Ferdinando Martorana & Isidoro Mazza, 2016. "Efficiency assessment and convergence in teaching and research in Italian public universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1063-1094, June.

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    Keywords

    Social and Behavioral Sciences; efficiency; productivity; two-stage DEA; higher education institutions;
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