IDEAS home Printed from https://ideas.repec.org/a/kap/jproda/v62y2024i2d10.1007_s11123-024-00731-5.html
   My bibliography  Save this article

The inefficiency of courts of justice: industry structure, capacity and misallocation

Author

Listed:
  • Antonio Peyrache

    (University of Queensland)

  • Angelo Zago

    (Università degli Studi di Verona)

Abstract

In this paper, we introduce an optimization model to quantify the trade-off between resource capacity utilization and disposition time for the caseload of courts of justice. The optimization model takes into account the impact of an increase in demand that may arise when disposition time is reduced. We employ the model to measure the impact of various policy reform scenarios on the length of trials, both at the court and system level. We do so by taking into account the potential reallocation of resources, using the population of Italian courts of justice over the 2005–2012 period. Our results show that if all policy scenarios we discuss were to be implemented, the average length of trials for civil cases would be more than halved, from the current 15.5 months to about 7 months. Implementing best practices, the single most effective policy would be equivalent to a 25% increase in the number of judges (which would otherwise cost around 100 million euros per year).

Suggested Citation

  • Antonio Peyrache & Angelo Zago, 2024. "The inefficiency of courts of justice: industry structure, capacity and misallocation," Journal of Productivity Analysis, Springer, vol. 62(2), pages 217-238, October.
  • Handle: RePEc:kap:jproda:v:62:y:2024:i:2:d:10.1007_s11123-024-00731-5
    DOI: 10.1007/s11123-024-00731-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11123-024-00731-5
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11123-024-00731-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Decio Coviello & Andrea Ichino & Nicola Persico, 2014. "Time Allocation and Task Juggling," American Economic Review, American Economic Association, vol. 104(2), pages 609-623, February.
    2. Fare, Rolf & Svensson, Leif, 1980. "Congestion of Production Factors," Econometrica, Econometric Society, vol. 48(7), pages 1745-1753, November.
    3. Buonanno Paolo & Galizzi Matteo M., 2014. "Advocatus, et non Latro? Testing the Excess of Litigation in the Italian Courts of Justice," Review of Law & Economics, De Gruyter, vol. 10(3), pages 285-322, November.
    4. Kristiaan KERSTENS & Xiaoqing CHEN, 2022. "Evaluating Horizontal Mergers in Swedish District Courts Using Plant Capacity Concepts: With a Focus on Nonconvexity," Working Papers 2022-EQM-02, IESEG School of Management.
    5. Santos, Sérgio P. & Amado, Carla A.F., 2014. "On the need for reform of the Portuguese judicial system – Does Data Envelopment Analysis assessment support it?," Omega, Elsevier, vol. 47(C), pages 1-16.
    6. Henry Tulkens, 2006. "On FDH Efficiency Analysis: Some Methodological Issues and Applications to Retail Banking, Courts and Urban Transit," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 311-342, Springer.
    7. 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.
    8. Decio Coviello & Andrea Ichino & Nicola Persico, 2015. "The Inefficiency Of Worker Time Use," Journal of the European Economic Association, European Economic Association, vol. 13(5), pages 906-947, October.
    9. Robert L. Bray & Decio Coviello & Andrea Ichino & Nicola Persico, 2016. "Multitasking, Multiarmed Bandits, and the Italian Judiciary," Manufacturing & Service Operations Management, INFORMS, vol. 18(4), pages 545-558, October.
    10. Wei, Quanling & Yan, Hong, 2004. "Congestion and returns to scale in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 153(3), pages 641-660, March.
    11. Lewin, Arie Y & Morey, Richard C & Cook, Thomas J, 1982. "Evaluating the administrative efficiency of courts," Omega, Elsevier, vol. 10(4), pages 401-411.
    12. 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.
    13. Gani Aldashev, 2009. "Legal institutions, political economy, and development," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 25(2), pages 257-270, Summer.
    14. Xiaoqing Chen & Kristiaan Kerstens & Qingyuan Zhu, 2021. "Exploring Horizontal Mergers in Swedish District Courts Using Convex and Nonconvex Technologies: Usefulness of a Conservative Approach," Working Papers 2021-EQM-05, IESEG School of Management.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Antonio Peyrache & Angelo Zago, 2020. "The (in)efficiency of Justice. An equilibrium analysis of supply policies," CEPA Working Papers Series WP042020, School of Economics, University of Queensland, Australia.
    2. 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.
    3. Peyrache, Antonio & Zago, Angelo, 2016. "Large courts, small justice!," Omega, Elsevier, vol. 64(C), pages 42-56.
    4. Dong, Xiaoge, 2021. "Efficiency of Courts in China – Does Location Matter?," ILE Working Paper Series 50, University of Hamburg, Institute of Law and Economics.
    5. Massimo Finocchiaro Castro & Calogero Guccio, 2018. "Measuring Potential Efficiency Gains from Mergers of Italian First Instance Courts through Nonparametric Model," Public Finance Review, , vol. 46(1), pages 83-116, January.
    6. Falavigna, Greta & Ippoliti, Roberto & Ramello, Giovanni B., 2018. "DEA-based Malmquist productivity indexes for understanding courts reform," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 31-43.
    7. Castro Massimo Finocchiaro & Guccio Calogero, 2015. "Bottlenecks or Inefficiency? An Assessment of First Instance Italian Courts’ Performance," Review of Law & Economics, De Gruyter, vol. 11(2), pages 317-354, July.
    8. J. Cummins & Hongmin Zi, 1998. "Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry," Journal of Productivity Analysis, Springer, vol. 10(2), pages 131-152, October.
    9. 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.
    10. Stefan Voigt, 2016. "Determinants of judicial efficiency: a survey," European Journal of Law and Economics, Springer, vol. 42(2), pages 183-208, October.
    11. Roberto Ippoliti, 2015. "La riforma della geografia giudiziaria: efficienza tecnica e domanda di giustizia," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2015(2), pages 91-124.
    12. 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.
    13. Gupta, Maansi & Bolia, Nomesh B., 2020. "Efficiency measurement of Indian high courts using DEA: A policy perspective," Journal of Policy Modeling, Elsevier, vol. 42(6), pages 1372-1393.
    14. Ippoliti, Roberto, 2014. "Efficienza Tecnica e Geografia Giudiziaria," POLIS Working Papers 178, Institute of Public Policy and Public Choice - POLIS.
    15. 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.
    16. Santos, Sérgio P. & Amado, Carla A.F., 2014. "On the need for reform of the Portuguese judicial system – Does Data Envelopment Analysis assessment support it?," Omega, Elsevier, vol. 47(C), pages 1-16.
    17. Ravelojaona, Paola, 2019. "On constant elasticity of substitution – Constant elasticity of transformation Directional Distance Functions," European Journal of Operational Research, Elsevier, vol. 272(2), pages 780-791.
    18. Peter Fernandes Wanke & Rebecca de Mattos, 2014. "Capacity Issues and Efficiency Drivers in Brazilian Bulk Terminals," Brazilian Business Review, Fucape Business School, vol. 11(5), pages 72-98, October.
    19. Cherchye, L. & Post, G.T., 2001. "Methodological Advances in Dea," ERIM Report Series Research in Management ERS-2001-53-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. Lin, L.C. & Hong, C.H., 2006. "Operational performance evaluation of international major airports: An application of data envelopment analysis," Journal of Air Transport Management, Elsevier, vol. 12(6), pages 342-351.

    More about this item

    Keywords

    Data Envelopment Analysis; Disposition times; Optimal resource allocation; Demand feedback effects;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • L38 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Public Policy
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jproda:v:62:y:2024:i:2:d:10.1007_s11123-024-00731-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.