Abstract
The efficiency and effectiveness of judicial systems has become one of the main points of interest in public sector administration, due to the beneficial effects of an efficient judicial system on economic growth and firm competition. This is particularly relevant in Italy where judicial proceedings are extremely long-lasting due to the huge (in)efficiency of courts and to the presence of bottlenecks that affect the efficient management of court activity. This paper attempts to measure the relative technical efficiency of Italian first instance courts in the period 2010–2011 by applying a non-parametric frontier and distinguishing between managerial (in)efficiency and (in)efficiency due to the non-discretionary caseload. Our findings show that, while the presence of bottlenecks in the caseload plays a role in the level of court inefficiency, this effect is relatively small compared with the inefficiency due to the lack of managerial ability to efficiently manage both the backlog and increases in filings. Furthermore, this outcome is more relevant in the South rather than in the North of the country. Finally, our empirical findings are robust to an alternative estimator and sample variation.
Acknowledgements
The anonymous referees provided extremely helpful comments and this led to a significant improvement both in the exposition and in the contents. Also, we would like to thank the editor, and Giuseppe Di Vita, Giovanni Ramello and numerous participants at the International Workshop on the Economics Analysis of Litigation, held at the University of Catania on 18–19 June 2014, for their valuable suggestions, while absolving them for any possible errors.
References
Antonelli, A., and D.Marchesi. 1999. Dimensione e composizioni ottimali degli uffici giudiziari e effetti dell’introduzione del giudice unico, in Commissione tecnica della spesa pubblica, Ricerche n. 19, Roma, Italy.Search in Google Scholar
Ardagna, S., and A.Lusardi. 2008. Explaining international differences in entrepreneurship: The role of individual characteristics and regulatory constraints (No. w14012). National Bureau of Economic Research.Search in Google Scholar
Bank, W. 2009. Doing Business in 2009. Washington: The World Bank Group.Search in Google Scholar
Banker, R.D. 1996. “Hypothesis Tests Using Data Envelopment Analysis,” 7Journal of Productivity Analysis139–159.Search in Google Scholar
Banker, R.D. , A.Charnes, and W.W.Cooper. 1984. “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis,” 30Management Science1078–1092.Search in Google Scholar
Banker, R.D., and R.C.Morey. 1986a. “Efficiency Analysis for Exogenously Fixed Inputs and Outputs,” 34Operational Research513–521.Search in Google Scholar
Banker, R.D., and R.C.Morey. 1986b. “The Use of Categorical Variables in Data Envelopment Analysis,” 32Management Science1613–1627.Search in Google Scholar
Buonanno, P., and M.M.Galizzi. 2014. “Advocatus, Et Non Latro? Testing the Excess of Litigation in the Italian Courts of Justice,” 10Review of Law & Economics285–322.Search in Google Scholar
CEPEJ. 2006. Length of court proceedings in the member states of the council of Europe based on the case-law of the European court of human rights, Strasbourg, France.Search in Google Scholar
CEPEJ. 2013. European Judicial System: Efficiency and Quality of Justice. Technical report, Strasbourg.Search in Google Scholar
Carmignani, A., and S.Giacomelli. 2009. Italian civil justice: Regional disparities, Bank of Italy Occasional Paper, n. 40.Search in Google Scholar
Carmignani, A., and S.Giacomelli. 2010. Too many lawyers? Litigation in Italian civil courts, Temi di discussione, Banca d’Italia, Number 745 – February 2010.Search in Google Scholar
Cazals, C. , J.P.Florens, and L.Simar. 2002. “Nonparametric Frontier Estimation: A Robust Approach,” 106Journal of Econometrics1–25.Search in Google Scholar
Charnes, A. , W.W.Cooper, and E.Rhodes. 1978. “Measuring the Efficiency of Decision Making Units,” 2European Journal of Operational Research429–444.Search in Google Scholar
Checchi, C. 1975. Analisi statistica dei procedimenti civili di cognizione in Italia, Roma, Laterza.Search in Google Scholar
Cooper, W.W. , L.M.Seiford, K.Tone, and J.Zhu. 2007. “Some Models and Measures for Evaluating Performances with DEA: Past Accomplishments and Future Prospects,” 28Journal of Productivity Analysis151–163.Search in Google Scholar
Cordero, J.M. , F.Pedraja, and D.Santín. 2009. “Alternative Approaches to Include Exogenous Variables in DEA Measures: A Comparison Using Monte Carlo,” 36Computers & Operations Research2699–2706.Search in Google Scholar
Coviello, D. , A.Ichino, and N.Persico. 2009. Giudici in affanno. mimeo, University of Bologna.Search in Google Scholar
Dakolias, M. 1999. “Court Performance Around the World: A Comparative Perspective,” 2Yale Human Rights and Development Journal Article 2. Available at: http://digitalcommons.law.yale.edu/yhrdlj/vol2/iss1/2.Search in Google Scholar
Debreu, G. 1951. “The Coefficient of Resource Utilization,” 19Econometrica273–292.Search in Google Scholar
Deyneli, F. 2012. “Analysis of Relationship Between Efficiency of Justice Services and Salaries of Judges with Two-Stage DEA Method,” 34European Journal of Law and Economics477–493.Search in Google Scholar
Di Vita, G. 2010. “Production of Laws and Delays in Court Decisions,” 30International Review of Law and Economics276–281.Search in Google Scholar
Fabri, M. Jean, J.P. Langbroek, p.m . & Pauliat, H. eds. 2003. The Administration of justice in Europe: Towards the development of quality standards, Lo Scarabeo, Bologna.Search in Google Scholar
Farrell, M.J. 1957. “The Measurement of Productive Efficiency,” 120Journal of Royal Statistical Society Series A253–281.Search in Google Scholar
Feld, L.P., and S.Voigt. 2003. “Economic Growth and Judicial Independence: Cross-Country Evidence Using New Set of Indicators,” 19European Journal of Political Economy497–527.Search in Google Scholar
Finocchiaro Castro, M., and C.Guccio. 2014. “Searching for the Source of Technical Inefficiency in Italian Judicial Districts: An Empirical Investigation,” 38European Journal of Law and Economics369–391.Search in Google Scholar
Fried, H. , C.A.Knox Lovell, and S.Schmidt Shelton. 2008. The Measurement of Productive Efficiency and Productivity Growth. New York, NY: Oxford University Press.Search in Google Scholar
Fried, H. , C.A.K.Lovell, S.Schmidt, and S.Yaisawarng. 2002. “Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis,” 17Journal of Productivity Analysis157–174.Search in Google Scholar
Giacomelli, S., and C.Menon.2013. Firm Size and Judicial Efficiency in Italy: Evidence from the Neighbour’s Tribunal, Temi di discussione (Working Papers) 898. Banca d’Italia.Search in Google Scholar
Gianfreda, G., and G.Vallanti. 2013a. Courts’ inefficiency and irregular workers: Identifying the impact of real EPL,” LUISS Working Paper Series.Search in Google Scholar
Gianfreda, G., and G.Vallanti. 2013b. Labour court delays and the composition of employment: Is labour encouraged or endangered by institutions?, LUISS Working Paper Series.Search in Google Scholar
Harrison, J. , P.Rouse, and J.Armstrong. 2012. “Categorical and Continuous Non-Discretionary Variables in Data Envelopment Analysis: A Comparison of Two Single-Stage Models,” 37Journal of Productivity Analysis261–276.Search in Google Scholar
Ippoliti, R. 2014. “La Competitività Del Mercato Forense E L’efficienza Giudiziaria,” 2Economia Pubblica53–90.Search in Google Scholar
Kittelsen, S. and F.Føresund. 1992. “Efficiency Analysis of Norwegian District Courts,” 3Journal of Productivity Analysis277–306.Search in Google Scholar
Kneip, A. , B.U.Park, and L.Simar. 1998. “A Note on the Convergence of Nonparametric DEA Estimators for Production Efficiency Scores,” 14Econometric Theory783–793.Search in Google Scholar
Koopmans, T.C. 1951. An Analysis of Production as an Efficient Combination of Activities, in Activity Analysis of Production Allocation, New York, NY: John-Wiley and Sons, Inc., Cowles Commission for Research in Economics, Monograph 13.T. C.Koopmans ed.Search in Google Scholar
Levine, R. 1998. “The Legal Environment, Banks, and Long-Run Economic Growth,” 30Journal of Money, Credit and Banking596–613.Search in Google Scholar
Lewin, A. , R.Morey, and T.Cook. 1982. “Evaluating the Administrative Efficiency of Courts,” 4OMEGA the International Journal of Management Science401–411.Search in Google Scholar
Marchesi, D. 2003. Litiganti, Avvocati e Magistrati: Diritto ed Economia del Processo Civile, Bologna, Il Mulino.Search in Google Scholar
Marselli, R., and M.Vannini. 2004. L’efficienza tecnica dei distretti di corte d’appello italiani: aspetti metodologici, benchmarking e arretrato smaltibile, CRENOS Working paper, n. 2004/09.Search in Google Scholar
Mauro, P. 1995. “Corruption and Growth,” 110Quarterly Journal of Economics680–712.Search in Google Scholar
Messick, R.E. 1999. “Judicial Reform and Economic Development,” 14The World Bank Research Observer117–136.Search in Google Scholar
Ministero della Giustizia. 2013. Relazione del Ministero sull’amministrazione della giustizia per l’anno 2012, Dipartimento per gli Affari di Giustizia, Roma, ItalySearch in Google Scholar
Ministero dell’Economia. 2007a. Libro Verde sulla spesa pubblica, Commissione Tecnica per la Finanza Pubblica, Roma, Italy.Search in Google Scholar
Ministero dell’Economia. 2007b. Rapporto intermedio sulla revisione della spesa pubblica, Commissione Tecnica per la Finanza Pubblica, Roma, Italy.Search in Google Scholar
Muñiz, M. 2002. “Separating Managerial Inefficiency and External Conditions in Data Envelopment Analysis,” 143European Journal of Operation Research625–643.Search in Google Scholar
OECD. 2013. What makes civil justice effective?, OECD Economics Department Policy Notes, No. 18 (June).Search in Google Scholar
Pedraja-Chaparro, F., and J.Salinas-Jiménez. 1996. “An Assessment of the Efficiency of Spanish Courts Using the DEA,” 28Applied Economics1391–1403.Search in Google Scholar
Pedraja-Chaparro, F. , J.Salinas-Jiménez, and P.Smith. 1999. “On the Quality of the Data Envelopment Analysis Model,” 50Journal of the Operational Research Society636–644.Search in Google Scholar
Ray, S.C. 1991. “Resource-Use Efficiency in Public Schools: A Study of Connecticut Data,” 37Management Science1620–1628.Search in Google Scholar
Ruggiero, J. 1998. “Non-Discretionary Inputs in Data Envelopment Analysis,” 111European Journal of Operation Research461–469.Search in Google Scholar
Ruggiero, J. 2004. “Data Envelopment Analysis with Stochastic Data,” 55Journal of the Operational Research Society1008–1012.Search in Google Scholar
Schneider, M.R. 2005. “Judicial Career Incentives and Court Performance: An Empirical Study of the German Labour Courts of Appeal,” 20European Journal of Law and Economics127–144.Search in Google Scholar
Sheather, S.J., and M.C.Jones. 1991. “A Reliable Data-Based Bandwidth Selection Method for Kernel Density Estimation,” 53Journal of the Royal Statistical Society, Series B Methodological683–690.Search in Google Scholar
Shephard, R.W. 1970. Theory of Cost and Production Function. Princeton, NJ: Princeton University Press.Search in Google Scholar
Simar, L., and P.Wilson. 1998. “Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models,” 44Management Science49–61.Search in Google Scholar
Simar, L. and P.Wilson. 2000. “A General Methodology for Bootstrapping in Nonparametric Frontier Models,” 27Journal of Applied Statistics779–802.Search in Google Scholar
Simar, L., and P.Wilson. 2007. “Estimation and Inference in Two-Stage, Semi-Parametric Models of Production Processes,” 136Journal of Econometrics31–64.Search in Google Scholar
Simar, L., and P.Wilson. 2008. “Statistical Inference in Nonparametric Frontier Models: Recent Developments and Perspectives,” in H.O.Fried, C.A.K.Lovell, & S.S.. Schmidt, eds. The Measurement of Productive Efficiency and Productivity Growth. Oxford: Oxford University Press.Search in Google Scholar
Simar, L. and P.Wilson. 2011. “Two-Stage DEA: Caveat Emptor,” 36Journal of Productivity Analysis205–218.Search in Google Scholar
Sobbrio, G. , E.D’Agostino, and E.Sironi. 2009. “Avvocati E Cause in Italia: Un’analisi Empirica,” 2Rivista Di Diritto Finanziario E Scienza Delle Finanze158–197.Search in Google Scholar
Staats, J. , S.Bowler, and J.Hiskey. 2005. “Measuring Judicial Performance in Latin America,” 47Latin American Politics and Societies77–106.Search in Google Scholar
Tulkens, H. 1993. “On FDH Efficiency Analysis: Some Methodological Issues and Applications to Retail Banking, Courts, and Urban Transit,” 4Journal of Productivity Analysis183–210.Search in Google Scholar
Voigt, S., and N.El-Bialy. 2014. “Identifying the Determinants of Aggregate Judicial Performance: Taxpayers’ Money Well Spent?,” European Journal of Law and Economicsforthcoming, https://doi.org/10.1007/s10657-014-9474–8.Search in Google Scholar
Wand, M.P., and M.C.Jones. 1995. Kernel Smoothing. Chapman and Hall Press: London.Search in Google Scholar
Wilson, P.W. 2012. Asymptotic properties of some non-parametric hyperbolic efficiency estimators. In Exploring research frontiers in contemporary statistics and econometrics (pp. 115–150). Physica-Verlag HD.Search in Google Scholar
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