Efficiency of judicial systems: model definition and output estimation

Roberto Ippoliti and G. Tria

Journal of Applied Economics, 2020, vol. 23, issue 1, 385-408

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.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://hdl.handle.net/10.1080/15140326.2020.1776977 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:recsxx:v:23:y:2020:i:1:p:385-408

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/recs20

DOI: 10.1080/15140326.2020.1776977

Access Statistics for this article

Journal of Applied Economics is currently edited by Jorge M. Streb

More articles in Journal of Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().