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Efektywność i skuteczność studiów doktoranckich w publicznym szkolnictwie wyższym w Polsce

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  • Brzezicki, Łukasz
  • Pietrzak, Piotr

Abstract

The article attempts to estimate the efficiency of doctoral studies in 58 public higher education institutions in Poland from 2010 to 2015. The authors employ a hybrid model combining radial and non-radial approaches as part of the non-parametric Data Envelopment Analysis (DEA) method. An assessment of both the direct and indirect effectiveness of doctoral studies has been made: from the beginning of studies to obtaining a doctoral degree, and from the start of studies to the launch of a doctoral programme respectively. In the case of both efficiency and effectiveness measurements, two empirical models with different research periods were used. In the first empirical model, the efficiency and effectiveness of studies were estimated at their nominal duration (four years), while in the second model the research period was extended by one year. Only four universities proved to be efficient in the first model and five in the second, while none turned out to be fully effective. Probably the higher level of efficiency is due to high competition between universities in the largest urban conurbations. On the other hand, the effectiveness of doctoral studies is to an extent correlated with the type of higher education institution (technical, pedagogical, etc.). Extending the research period by one year has a greater impact on the efficiency rather than effectiveness of doctoral studies.

Suggested Citation

  • Brzezicki, Łukasz & Pietrzak, Piotr, . "Efektywność i skuteczność studiów doktoranckich w publicznym szkolnictwie wyższym w Polsce," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2018(2).
  • Handle: RePEc:ags:polgne:359159
    DOI: 10.22004/ag.econ.359159
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    References listed on IDEAS

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    1. Jill Johnes & Maria Portela & Emmanuel Thanassoulis, 2017. "Efficiency in education," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 331-338, April.
    2. 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.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    5. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, January.
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    Keywords

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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