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Measuring Public Owned University Departments' Efficiency: A Bootstrapped DEA Approach

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  • George E. Halkos
  • Nickolaos G. Tzeremes
  • Stavros A. Kourtzidis

Abstract

This article uses Data Envelopment Analysis (DEA) in order to determine the performance levels of 16 departments of a public owned university. Particularly, the constant returns to scale (CRS) and variable returns to scale (VRS) models have been applied alongside with bootstrap techniques in order to determine accurate performance estimates. The study illustrates how the recent developments in efficiency analysis and statistical inference can be applied when evaluating institutional performance issues. The results reveal the existence of misallocation of resources or/and inefficient application of departments’ policy development.

Suggested Citation

  • George E. Halkos & Nickolaos G. Tzeremes & Stavros A. Kourtzidis, 2012. "Measuring Public Owned University Departments' Efficiency: A Bootstrapped DEA Approach," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 55(2), pages 1-24.
    • Handle: RePEc:eei:journl:v:55:y:2012:i:2:p:1-24
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    Cited by:

    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. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2019. "Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006−2012," Journal of Regional Science, Wiley Blackwell, vol. 59(5), pages 819-849, November.
    3. Cristian Barra & Roberto Zotti, 2016. "Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(1), pages 11-33, February.
    4. Amara, Nabil & Rhaiem, Mehdi & Halilem, Norrin, 2020. "Assessing the research efficiency of Canadian scholars in the management field: Evidence from the DEA and fsQCA," Journal of Business Research, Elsevier, vol. 115(C), pages 296-306.
    5. Shahsuzan Zakaria, 2023. "The Need to go Beyond Deterministic Data Envelopment Analysis (DEA): A Comparative Analysis with Bootstrapping DEA in Risk Management Efficiency Measurements," Information Management and Business Review, AMH International, vol. 15(4), pages 433-446.
    6. 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.
    7. 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.
    8. 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.
    9. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    10. Cristian Barra & Roberto Zotti, 2017. "Investigating the Human Capital Development–growth Nexus," International Regional Science Review, , vol. 40(6), pages 638-678, November.
    11. Zhang, Chonghui & Jiang, Nanyue & Su, Tiantian & Chen, Ji & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Spreading knowledge and technology: Research efficiency at universities based on the three-stage MCDM-NRSDEA method with bootstrapping," Technology in Society, Elsevier, vol. 68(C).
    12. 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.
    13. Renato A. Villano & Carolyn‐Dung T. T. Tran, 2021. "Survey on technical efficiency in higher education: A meta‐fractional regression analysis," Pacific Economic Review, Wiley Blackwell, vol. 26(1), pages 110-135, February.

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    More about this item

    Keywords

    Departments’ efficiency; Data Envelopment Analysis; bootstrap techniques; Kernel density estimation.;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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