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Evaluation of Upper Secondary Schools on Efficiency and Productivity Change in 2016-2019: Empirical evidence from schools in the region in Central Greece

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  • Stylianos Gr. Margaritis

    (PhD Candidate,Department of Computer Science and Telecommunication,University of Thessaly, Lamia, Greece.)

Abstract

The study investigates the relative efficiency and productivity change of Upper Secondary Schools in the region of Central Greece during the period 2016–2019. It measures the technical and scale efficiencies and productivity change by using DEA output-oriented and Malmquist analysis. Empirical analysis reveals that few are efficient and most are inefficient. The efficiency under constant returns to scale varies in interval [0.666–1.000] and under variable returns to scale in interval [0.759–1.000], with average efficiency score being 0.875 and 0.923 respectively. This means that given the quantities of inputs, Upper Secondary Schools could produce, on average, more quantities of outputs by 12.5% or 7.7% respectively. The scale efficiency varies in the interval [0.745–1.000] and the mean is 0.948. The findings suggest that schools on average refrain 5.2% from the optimal scale. The results show that average values of efficiency are moving around the average performance of Upper Secondary Schools of other countries in the world and the European Union. The total factor productivity change of production factors has risen by an annual average of 5.2% relative to the base year 2016.

Suggested Citation

  • Stylianos Gr. Margaritis, 2021. "Evaluation of Upper Secondary Schools on Efficiency and Productivity Change in 2016-2019: Empirical evidence from schools in the region in Central Greece," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 71(3-4), pages 101-121, July-Dece.
    • Handle: RePEc:spd:journl:v:71:y:2021:i:3-4:p:101-121
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    References listed on IDEAS

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    More about this item

    Keywords

    Upper Secondary Schools; Efficiency; Productivity; Data Envelopment Analysis; Malmquist analysis;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J48 - Labor and Demographic Economics - - Particular Labor Markets - - - Particular Labor Markets; Public Policy
    • P41 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Planning, Coordination, and Reform

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