DEA-based Malmquist productivity indexes for understanding courts reform

被引:38
|
作者
Falavigna, Greta [1 ]
Ippoliti, Roberto [2 ]
Ramello, Giovanni B. [3 ]
机构
[1] Natl Res Council Italy, Res Inst Sustainable Econ Growth, CNR, IRCrES, Via Real Coll 30, Turin, Italy
[2] Presidency Council Ministers, Prime Ministers Off, Natl Sch Adm, Via Robilant 11, Rome, Italy
[3] Univ Piemonte Orientale, Inst Publ Policy & Collect Choices POLIS, Via Cavour, Alessandria, AL, Italy
关键词
Judicial efficiency; Courts reform; Malmquist productivity indexes; DATA ENVELOPMENT ANALYSIS; TECHNICAL PROGRESS; EFFICIENCY CHANGE; JUDICIAL PRODUCTIVITY; CO2; EMISSIONS; GROWTH; SERVICES; INEFFICIENCIES; DECOMPOSITION; DEREGULATION;
D O I
10.1016/j.seps.2017.07.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
Currently there is no clear empirical evidence as to which the most appropriate reform to improve national judicial systems might be, i.e., whether it is better to implement a policy which focuses on judges and their incentives or, alternatively, a policy aimed at reorganizing the courts' structure. The judicial system, like many other sectors of the public administration, is an industry producing a specific good - justice - and, accordingly, it can be studied by using the customary tools of production theory. The paper applies the two-stage analysis by Simar and Wilson (2007) and the Malmquist index to the judiciary, in order to better understand the impact of a specific policy on the productivity of the Italian tax judiciary. The results highlight strong heterogeneity among courts, depending on their geographical location, with North-West and North-East of Italy as the most efficient macro areas. Moreover, by decomposing the index into change in efficiency and change in technology, this work provides a further glimpse into the judiciary's production organization. Interestingly, the evidence shows that a reduction in the number of active sections has had a negative impact on the overall performance of the courts (i.e., a negative change in efficiency of 0.0103, with a p-value < 0.01), although the reorganization of the residual sections has possibly determined a more effective use of the remaining resources (i.e., a positive change in technology of 0.00285, with a p-value < 0.01). Hence, technology does not fully replace the productive role of the judges. The overall results suggest that adjudication is a labor-intensive activity and, although fine-tuning their organization can indeed enhance the productivity of the courts, the role of the judges still remains pivotal. There might indeed be ways to increase the efforts made by judges and a suitable policy should create incentives aimed at boosting their productivity. (c) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:31 / 43
页数:13
相关论文
共 50 条
  • [41] Exact relations between Luenberger productivity indicators and Malmquist productivity indexes
    Bert M. Balk
    Rolf Färe
    Shawna Grosskopf
    Dimitris Margaritis
    [J]. Economic Theory, 2008, 35 : 187 - 190
  • [42] Investigating the Productivity of Industrial Parks in Beijing Using Malmquist Productivity Indexes
    Yang Zhenshan
    Cheng Zhe
    [J]. CHINA-AN INTERNATIONAL JOURNAL, 2019, 17 (02) : 60 - 81
  • [43] DEA Malmquist productivity measure: Taiwanese semiconductor companies
    Liu, Fuh-Hwa Franklin
    Wang, Peng-hsiang
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2008, 112 (01) : 367 - 379
  • [44] Malmquist Indexes of Productivity Change in Tunisian Manufacturing Industries
    Zrelli, Houyem
    Alsharif, Abdullah H.
    Tlili, Iskander
    [J]. SUSTAINABILITY, 2020, 12 (04)
  • [45] Aggregation of Malmquist productivity indexes allowing for reallocation of resources
    Mayer, Andreas
    Zelenyuk, Valentin
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2014, 238 (03) : 774 - 785
  • [46] Does the Japanese employment system harm productivity performance? A perspective from DEA-based productivity and sustainable HRM
    Sotome, Ryohei
    Takahashi, Masako
    [J]. ASIA-PACIFIC JOURNAL OF BUSINESS ADMINISTRATION, 2014, 6 (03) : 225 - 246
  • [47] Production planning: a DEA-based approach
    Alireza Amirteimoori
    Sohrab Kordrostami
    [J]. The International Journal of Advanced Manufacturing Technology, 2011, 56 : 369 - 376
  • [48] Artificial vibrissae DEA-based module
    Assaf, Tareq
    Conn, Andrew
    Rossiter, Jonathan
    Walters, Peter
    Pearson, Martin
    [J]. ELECTROACTIVE POLYMER ACTUATORS AND DEVICES (EAPAD) 2014, 2014, 9056
  • [49] DEA-based indicator for performance improvement
    Aoki, S
    Naito, Y
    Tsuji, H
    [J]. PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON ACTIVE MEDIA TECHNOLOGY (AMT 2005), 2005, : 327 - 330
  • [50] An Empirical Study on the Measurement of Forestry Total Factor Productivity Based on DEA Malmquist Model
    Yin, Hui
    Cao, Yukun
    [J]. Scientific Programming, 2022, 2022