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Parametric and Non Parametric Methods for Efficiency Assessment of State Higher Vocational Schools in 2009-2011

Author

Listed:
  • Lesław Rządziński

    (West Pomeranian University of Technology in Szczecin, Poland)

  • Anna Sworowska

    (West Pomeranian University of Technology in Szczecin, Poland)

Abstract

Objective: As a great number of higher schools in Poland are financed from public resources, there arises a question about the adequacy of those schools' inputs to the obtained outputs. The aim of this paper is to examine the technical efficiency of 27 state higher vocational schools in Poland. Research Design&Methods: The research was conducted for the years 2009-2011. There was applied the Stochastic Frontier Approach (SFA) as well as the Data Envelopment Analysis (DEA). The second one was calculated both for Constant Returns to Scale (CRS) and for Variable Returns to Scale (VRS). Findings: A majority of studied schools, found as inefficient in the analysis conducted with the DEA method with CRS models, are found to be efficient in VRS models, demonstrate a relatively lower efficiency when calculated with the SFA method. Implications & Recommendations: For efficiency evaluation of higher education institutions there should be applied models of VRS. It enables identifying the units that despite operating in a different scale are fully efficient. The size and scale of operations may have a significant impact on the efficiency of conducted activity by higher education institutions. Contribution & Value Added: The work compares two methods (parametric and non parametric) for evaluation of technical efficiency that are present in subject literature (SFA is less popular) but are rarely evaluated and compared for its applicability to the higher education sector.

Suggested Citation

  • Lesław Rządziński & Anna Sworowska, 2016. "Parametric and Non Parametric Methods for Efficiency Assessment of State Higher Vocational Schools in 2009-2011," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 4(1), pages 95-112.
    • Handle: RePEc:krk:eberjl:v:4:y:2016:i:1:p:95-112
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    References listed on IDEAS

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    6. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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    Cited by:

    1. Stylianos Gr. Margaritis & Constantinos P. Tsamadias & Elias E. Argyropoulos, 2022. "Investigating the Relative Efficiency and Productivity Change of Upper Secondary Schools: the Case of Schools in the Region of Central Greece," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 128-160, March.
    2. Lipeng Chen & Yang Yu & Amsalu K. Addis & Xiao Guo, 2022. "Empirical Assessment and Comparison of Educational Efficiency between Major Countries across the World," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    3. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    4. Sun, Yu & Yang, Feng & Wang, Dawei & Ang, Sheng, 2023. "Efficiency evaluation for higher education institutions in China considering unbalanced regional development: A meta-frontier Super-SBM model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).

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    More about this item

    Keywords

    SFA; DEA; efficiency; higher education;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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