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Wykorzystanie metody DEA do pomiaru efektywnosci liceów ogolnoksztalcacych w Szczecinie (The use of the DEA method to measure the efficiency of high schools in Szczecin)

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  • Lukasz Brzezicki

    (Wydzial Ekonomiczny, Uniwersytet Gdanski)

Abstract

The article measures the efficiency of 19 high schools in Szczecin in 2018 using two DEA (Data Envelopment Analysis) models focused on results. The Cross Efficiency model (CE) and Game Cross Efficiency model (GCE) were used to estimate cross-flow efficiency. The technical efficiency of high schools was analysed in terms of quantity (number of students) and quality (education rankings). Depending on the empirical model chosen, the number of students, graduates or ranking index and the average value of high schools baccalaureate were assumed as the results. In both cases, the number of pedagogical employees was taken into account for the inputs. The lowest efficiency in the areas, both in terms of quantity and quality, was observed in the case of LO Sport Championships in CMS. The highest values of efficiency in terms of the quantitative characteristics of education were achieved by the 1st High School, and as regards the qualitative aspect of education at the XIII High School. Schools that opted for non-cooperation strategies with other units would achieve a higher level of efficiency than in the case of cooperation of all educational institutions by 7 p.p. on average in terms of quantity and 3 p.p. in terms of quality.

Suggested Citation

  • Lukasz Brzezicki, 2020. "Wykorzystanie metody DEA do pomiaru efektywnosci liceów ogolnoksztalcacych w Szczecinie (The use of the DEA method to measure the efficiency of high schools in Szczecin)," Research Reports, University of Warsaw, Faculty of Management, vol. 2(33), pages 18-31.
    • Handle: RePEc:sgm:resrep:v:2:i:33:y:2020:p:18-31
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    References listed on IDEAS

    as
    1. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    2. Wu, Jie & Liang, Liang & Chen, Yao, 2009. "DEA game cross-efficiency approach to Olympic rankings," Omega, Elsevier, vol. 37(4), pages 909-918, August.
    3. Liang Liang & Jie Wu & Wade D. Cook & Joe Zhu, 2008. "The DEA Game Cross-Efficiency Model and Its Nash Equilibrium," Operations Research, INFORMS, vol. 56(5), pages 1278-1288, October.
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    More about this item

    Keywords

    cross efficiency; education; efficiency; game cross efficiency; high school;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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