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Measuring the efficiency of European education systems by combining Data Envelopment Analysis and Multiple-Criteria Evaluation

Author

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  • Tommaso Agasisti

    (Economics and Industrial Engineering)

  • Giuseppe Munda

    (European Commission, Joint Research Centre (JRC))

  • Ralph Hippe

    (European Commission, Joint Research Centre (JRC))

Abstract

Education is considered an important factor of economic growth, employment and social inclusion. However, the economic crisis has put the need to achieve educational goals in the most efficient way ever more to the fore. The main objective of this paper is to assess the spending efficiency of European compulsory educational systems, creating a ranking of countries based on the efficiency scores of their systems using a number of standard variables from the literature. To this end, we also present a methodological innovation that combines Data Envelopment Analysis (DEA) with discrete Multiple Criteria Evaluation (MCE), two methods that we consider complementary if used for providing a performance analysis. Moreover, both methods identify a set of common variables which are associated with higher levels of efficiency in educational systems (e.g. some characteristics of teachers, the stock of adults’ human capital and lower expenditures per student). The results show that findings using DEA are largely confirmed by MCE.

Suggested Citation

  • Tommaso Agasisti & Giuseppe Munda & Ralph Hippe, 2019. "Measuring the efficiency of European education systems by combining Data Envelopment Analysis and Multiple-Criteria Evaluation," Journal of Productivity Analysis, Springer, vol. 51(2), pages 105-124, June.
  • Handle: RePEc:kap:jproda:v:51:y:2019:i:2:d:10.1007_s11123-019-00549-6
    DOI: 10.1007/s11123-019-00549-6
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    4. Giuseppe Coco & Raffaele Lagravinese & Giuliano Resce, 2020. "Beyond the weights: a multicriteria approach to evaluate inequality in education," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(4), pages 469-489, December.
    5. Briec, Walter & Dumas, Audrey & Kerstens, Kristiaan & Stenger, Agathe, 2022. "Generalised commensurability properties of efficiency measures: Implications for productivity indicators," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1481-1492.
    6. Marius Sorin Dincă & Gheorghiţa Dincă & Maria Letiţia Andronic & Anna Maria Pasztori, 2021. "Assessment of the European Union’s Educational Efficiency," Sustainability, MDPI, vol. 13(6), pages 1-29, March.
    7. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
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    9. Legenzova Renata & Gaigalienė Asta & Rudytė Dalia & Skunčikienė Solveiga & Kazlauskienė Vilma, 2023. "Assessment of public education expenditure efficiency across Lithuanian municipalities," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 19(4), pages 63-79, December.
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    More about this item

    Keywords

    Compulsory Education; Human Capital; Efficiency Analysis; Data Envelopment Analysis; Multiple-Criteria Evaluation; NAIADE method;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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