IDEAS home Printed from https://ideas.repec.org/a/taf/recsxx/v23y2020i1p385-408.html
   My bibliography  Save this article

Efficiency of judicial systems: model definition and output estimation

Author

Listed:
  • R. Ippoliti
  • G. Tria

Abstract

Focusing on the Italian judicial system as our case study, we use Data Envelopment Analysis to estimate technical efficiency scores and reference values for policy makers. In detail, this work presents a comparative analysis of different model definitions to identify the most appropriate one, emphasizing the key role of case matters in this production process. According to our results, the North of Italy emerges as more efficient than the other Italian macro areas, although the gap significantly decreases when case matters are considered in the output estimation. Concerning the collected reference values, which might be adopted by policy makers to reform the judicial system, we can observe significant differences able to affect the reorganization of courts. Taking the proposed case study into account, it seems that improvements in court performance could be achieved by reforming civil procedures, which are the technologies applied by judges in their production process.

Suggested Citation

  • R. Ippoliti & G. Tria, 2020. "Efficiency of judicial systems: model definition and output estimation," Journal of Applied Economics, Taylor & Francis Journals, vol. 23(1), pages 385-408, January.
  • Handle: RePEc:taf:recsxx:v:23:y:2020:i:1:p:385-408
    DOI: 10.1080/15140326.2020.1776977
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15140326.2020.1776977
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/15140326.2020.1776977?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luminița RUS & Daniela ZĂPODEANU & Carmen SCORȚE & Sorina MOCIAR-COROIU, 2022. "Indicators And 3r-Type Measures In Overcoming Financial Difficulties Of Companies," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 2(2), pages 153-165, December.
    2. Giacalone, Massimiliano & Nissi, Eugenia & Cusatelli, Carlo, 2020. "Dynamic efficiency evaluation of Italian judicial system using DEA based Malmquist productivity indexes," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    3. Falavigna, Greta & Ippoliti, Roberto, 2023. "SMEs’ behavior under financial constraints: An empirical investigation on the legal environment and the substitution effect with tax arrears," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    4. Monika Stachowiak-Kudła & Janusz Kudła, 2023. "Measuring the prestige of administrative courts," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3637-3662, August.
    5. Falavigna, G. & Ippoliti, R., 2021. "Reform policy to increase the judicial efficiency in Italy: The opportunity offered by EU post-Covid funds," Journal of Policy Modeling, Elsevier, vol. 43(5), pages 923-943.
    6. 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.
    7. Gupta, Maansi & Bolia, Nomesh B., 2024. "Factors affecting efficient discharge of judicial functions: Insights from Indian courts," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).

    More about this item

    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:taf:recsxx:v:23:y:2020:i:1:p:385-408. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/recs .

    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.