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Data Envelopment Analysis as an instrument for measuring the efficiency of courts

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  • Wojciech Major

Abstract

The paper addresses the problem of measuring the efficiency of civil jurisdiction courts. Nonparametric data envelopment analysis (DEA) has been proposed as a measurement instrument. Hearing (settling) a case within a reasonable time, as seen from the perspective of a citizen, is defined to be a positive output (result) of a court action. The production factors considered include human resources directly related to legal processes. The analysis was carried out for the 26 Cracow district courts. The goal has been assumed to be achieving the best possible outputs, without increasing resources. The results obtained prove that there exist reserves within these organizations that would allow them to shorten the queue of pending cases. The proposed method of measuring efficiency may constitute a starting point for further work on trying to create measurable standards of the functioning of the judiciary in Poland.

Suggested Citation

  • Wojciech Major, 2015. "Data Envelopment Analysis as an instrument for measuring the efficiency of courts," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 25(4), pages 19-34.
    • Handle: RePEc:wut:journl:v:4:y:2015:p:19-34:id:1193
    DOI: 10.5277/ord150402
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    References listed on IDEAS

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    1. Małgorzata Guzowska & Tomasz Strąk, 2010. "An examination of the efficiency of Polish public sector entities based on public prosecutor offices," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 20(2), pages 41-57.
    2. Joanicjusz Nazarko & Marta Komuda & Katarzyna Kuźmicz & Elżbieta Szubzda & Joanna Urban, 2008. "The DEA method in public sector institutions efficiency analysis on the basis of higher education institutions," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(4), pages 89-105.
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    4. Miguel St. Aubyn, 2008. "Law and Order Efficiency Measurement – A Literature Review," Working Papers Department of Economics 2008/19, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    5. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    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.
    7. Anna Ćwiąkała-Małys & Violetta Nowak, 2009. "Classification of Data Envelopment Analysis models," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(3), pages 5-18.
    8. Kleine, A., 2004. "A general model framework for DEA," Omega, Elsevier, vol. 32(1), pages 17-23, February.
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    Cited by:

    1. Gustavo Ferro & Victoria Oubiña & Carlos A. Romero, 2019. "Benchmarking Labor Courts: an Efficiency Frontier Analysis," Asociación Argentina de Economía Política: Working Papers 4140, Asociación Argentina de Economía Política.
    2. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.
    3. Mattsson, Pontus & Tidanå, Claes, 2019. "Potential efficiency effects of merging the Swedish district courts," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 58-68.
    4. Artur Wyszyński, 2017. "Sytuacja finansowa klubów Ekstraklasy w ujęciu metody DEA," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 69-99.
    5. Per J. Agrell & Pontus Mattsson & Jonas Månsson, 2020. "Impacts on efficiency of merging the Swedish district courts," Annals of Operations Research, Springer, vol. 288(2), pages 653-679, May.
    6. Francesco Aiello & Graziella Bonanno & Francesco Foglia, 2021. "On The Heterogeneity In The Judicial Efficiency Literature: A Meta-Regression Analysis," Working Papers 202102, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    7. Jonas Månsson & Christian Andersson & Fredrik Bonander, 2022. "What lessons can be learned from cost efficiency? The case of Swedish district courts," European Journal of Law and Economics, Springer, vol. 54(3), pages 431-451, December.

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