Determinants of Judicial Efficiency in Morocco
Keywords:
data envelopment analysis, efficiency measurement, judicial efficiency, efficiency determinants, moroccan courts, judicial reform
Abstract
In this paper, we aim to measure Moroccan judicial efficiency and identify its determinants during the implementation of judicial reform. For this, we use a two-stage approach. First, we use data envelopment analysis (DEA) under output orientation to measure the efficiency of the 109 Moroccan courts. In the second stage, we explore determinants of efficiency using the Ordinary Least Squares regression model. The results show a low level of courts efficiency of 56.2% in 2018, despite an improvement during the reform implementation period. At the same time, the results show that efficiency increases in populated cities with high demands on justice, and in courts with high proportions of cases in process, and employing senior judges. Therefore, this paper presents some managerial implications for court managers and provides further research directions for assessing judicial efficiency.
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
References
Necmi Avkiran (2001) Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis. 35(1), 57-80.
R Banker, A Charnes, W Cooper (1984) Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. 30(9), 1078-1092.
R Banker, R Natarajan (2008) Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis. 56(1), 48-58.
Jarosław Bełdowski, Łukasz Dąbroś, Wiktor Wojciechowski (2020) Judges and court performance: a case study of district commercial courts in Poland. 50(1), 171-201.
M Bhattacharya, R Smyth (2001) Aging and Productivity Among Judges: Some Empirical Evidence from the High Court of Australia. 40(2), 199-212.
Massimo Castro, Calogero Guccio (2016) Measuring Potential Efficiency Gains from Mergers of Italian First Instance Courts through Nonparametric Model. 46(1), 83-116.
A Charnes, W Cooper, E Rhodes (1978) Measuring the efficiency of decision making units. 2(6), 429-444.
W Cooper, L Seiford, K Tone (2001) Data envelopment analysis: A comprehensive text with models, applications, references and deasolver software. 52(12), 1408-1409.
Valentina Dimitrova-Grajzl, Peter Grajzl, Katarina Zajc, Janez Sustersic (2012) Judicial Incentives and Performance at Lower Courts: Evidence from Slovenian Judge-Level Data. 8(1), 215-252.
N Elbialy, M Garcia-Rubio (2011) Assessing judicial efficiency of Egyptian first instance courts: A DEA analysis. 30.
Greta Falavigna, Roberto Ippoliti, Alessandro Manello, Giovanni Ramello (2015) Judicial productivity, delay and efficiency: A Directional Distance Function (DDF) approach. 240(2), 592-601.
Thiago Fauvrelle, Alessio Tony C Almeida (2018) Determinants of Judicial Efficiency Change: Evidence from Brazil. 14(1).
G Ferro, C Romero, E Romero-Gomez (2018) Efficient courts? a frontier performance assessment. 25(9), 3443-3458.
Massimo Finocchiaro Castro, Calogero Guccio (2014) Searching for the source of technical inefficiency in Italian judicial districts: an empirical investigation. 38(3), 369-391.
M Garcia-Rubio, N Elbialy (2011) Assessing judicial efficiency of Egyptian first instance courts: A DEA analysis. 30.
Michael Gorman, John Ruggiero (2009) Evaluating U.S. judicial district prosecutor performance using DEA: are disadvantaged counties more inefficient?. 27(3), 275-283.
Ayoe Hoff (2007) Second stage DEA: Comparison of approaches for modelling the DEA score. 181(1), 425-435.
Jill Johnes (2004) Efficiency Measurement.
Jill Johnes (2006) Data envelopment analysis and its application to the measurement of efficiency in higher education. 25(3), 273-288.
Jill Johnes (2006) Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993. 174(1), 443-456.
A Lewin, R Morey, T Cook (1982) Evaluating the administrative efficiency of courts. 10(4), 401-411.
R Marselli, M (2004) L'EfficienzaTechnica Dea Distretti Di Corte D'Appello Italiani: Aspetti Metodologici, Benchmarking E Arretrato Smaltibile. 42.
Therese Mccarty, Suthathip Yaisawarng (1993) Technical Efficiency In New Jersey School Districts. 271-287.
John Mcdonald (2009) Using least squares and tobit in second stage DEA efficiency analyses. 197(2), 792-798.
V Rosales-Lopez (2008) Economics of court performance: an empirical analysis. 25(3), 231-251.
Sérgio Santos, Carla Amado (2014) On the need for reform of the Portuguese judicial system - Does Data Envelopment Analysis assessment support it?. 47, 1-16.
Martin Schneider (2005) Judicial Career Incentives and Court Performance: An Empirical Study of the German Labour Courts of Appeal. 20(2), 127-144.
S Schwengber, M Sousa (2005) Anais do(a) XI Encontro de Economia da Região Sul - ANPEC-SUL. 33.
S Voigt (2016) Determinants of judicial efficiency: a survey. 42(2), 183-208.
L Yeung, P Azevedo (2011) Measuring efficiency of Brazilian courts with data envelopment analysis (DEA). 22(4), 343-356.
Published
2021-09-30
Issue
Section
License
Copyright (c) 2021 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.