Justicia y EconomíaEvaluando la Eficiencia Judicial en Andalucía

  1. García Rubio, Miguel Ángel
  2. Rosales López, Virginia
Revista:
Indret: Revista para el Análisis del Derecho

ISSN: 1698-739X

Año de publicación: 2010

Número: 4

Tipo: Artículo

Otras publicaciones en: Indret: Revista para el Análisis del Derecho

Resumen

Este trabajo tiene como objetivo evaluar el desempeño judicial desde el enfoque económico. Mediante el Análisis Envolvente de Datos (DEA) se estima la eficiencia técnica de los Juzgados de Primera Instancia de lo Civil de la Comunidad Autónoma de Andalucía, durante el año 2008. Los resultados muestran que en promedio los tribunales ineficientes podrían incrementar simultáneamente las sentencias y los autos un 19,02%. Asimismo, el número de casos pendientes se podría haber reducido un 9,38% si los juzgados se hubieran comportado eficientemente.

Referencias bibliográficas

  • AIGNER y CHU (1968), “On Estimating the Industry Production Function”, The American Economic Review, 58(4), pp. 826-839.
  • AIGNER, LOVELL, y SCHMIDT (1977), “Formulation and Estimation of Stochastic Production Function Models”, Journal of Econometrics, 6, pp. 21-37.
  • ALI y SEIFORD (1993), “The mathematical programming approach to efficiency analysis” en FRIED, LOVELL, y SCHMIDT (Ed.), The measurement of productive efficiency: Techniques and applications, Oxford University Press, Oxford.
  • BANKER, CHARNES y COOPER (1984), “Some models for estimating technical and scale inefficiencies in data envelopment analysis”, Management Science, 30(9), pp. 1078-1092.
  • BJUREK, HJALMARSSON y FØRSUND (1990), “Deterministic Parametric and Nonparametric Estimation on Efficiency in Service Production: A Comparisson”, Journal of Econometrics, 46, pp. 213-227.
  • BUSCAGLIA y DAKOLIAS (1996), “Comparative International Study of Court Performance Indicators”, Legal and Judicial Reform Series.
  • BUSCAGLIA, y DAKOLIAS, (1999), Comparative International Study of Court Performance Indicators: A Descriptive and Analytical Account, World Bank, Washington, D.C.
  • BUSCAGLIA y ULEN (1997), “A Quantitative Assessment of Efficiency of the Judicial Sector in Latin America”, International Review of Law and Economics, 17, pp. 275-291.
  • CABRILLO y PASTOR (2001), Reforma Judicial y Economía de Mercado. Círculo de Empresarios. Madrid.
  • CHARNES, COOPER y RHODES (1978), “Measuring the efficiency of decision making units”, European Journal of Operational Research, 2(6), pp. 429-444.
  • COOPER, SEIFORD y TONE (2007), Data envelopment analysis: a comprehensive text with models, applications, references and DEA-Solver software. Springer Verlag, Boston.
  • DAKOLIAS y SAID (1999), “Judicial Reform: A Process of Change Through Pilot Courts”, Legal and Judicial Reform Series.
  • DEBREU (1951), “The Coefficient of Resource Utilization”, Econometrica, 19 (3), pp. 273-292.
  • DEPRINS, SIMAR Y TULKENS (1984), “Measuring labour-efficiency in post offices”, en MARCHAND, PESTIEU y TULKENS (eds.), The performance of public enterprises: concepts and measurement, Elsevier Science Publishers B. V., North-Holland, pp.243-267
  • DERR (2001), “Evolution of Court Management”, en DUPONT, HOOPER y SCHMIDT, Handbook of Criminal Justice Administration, Marcel Dekker, Inc. Switzerland.
  • DJANKOV, LA PORTA, LOPEZ DE SILANES, y SHLEIFER (2001), Legal Structure and Judicial Efficiency: The Lex Mundi Project. The World Bank. Washington D.C.
  • EMROUZNEJAD, PARKER y TAVARES (2008), “Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA”, Journal of Socio-Economics Planning Science, 42(3), pp. 151-157.
  • FÄRE, GROSSKOPF y LOVELL (1994), Production Frontiers, Cambridge University Press.
  • FARRELL (1957), “The measurement of productive efficiency”, Journal of the Royal Statistical Society, Series A, 120(3), pp. 253-290.
  • FIX FIERRO (2003), Courts, Justice and Efficiency. A Socio-Legal Study of Economic Rationality in Adjudication. Oxford and Portland, Oregon.
  • GORMAN y RUGGIERO (2009), “Evaluating U.S. judicial district prosecutor performance using DEA: are disadvantaged counties more inefficient?”, European Journal of Law and Economics, 27(3), pp. 275-283.
  • GOULD (1973), “The Economics of Legal Conflicts”, The Journal of Legal Studies, 2(2), pp. 279- 300.
  • GREENE (1980), “Maximum Likelihood Estimation of Econometric Frontier Production Functions”, Journal of Econometrics, 13, pp. 27-56.
  • GREENE (1982), “Maximum Likelihood Estimation of Stochastic Frontier Production Models”, Journal of Econometrics, 13, pp. 285-289.
  • JONDROW, LOVELL, MATEROV y SCHMIDT (1982), “On Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model”, Journal of Econometrics, 19, pp. 233-238.
  • KITTELSEN y FØRSUND (1992), “Efficiency analysis of Norwegian district courts”, Journal of Productivity Analysis, 3(3), pp. 277-306.
  • KOOPMANS (1951), Activity Analysis of Production and Allocation. Wiley, New York.
  • LANDES (1971), “An Economic Analysis of the Courts”, Journal of Law and Economics, 14(1), pp. 61-107.
  • LAWSON y GLETNE (1980), Workload Measures in the Court. National Center for State Courts. Williamsburg, V.A.
  • LEVITT y JOYCE (1988), The Growth and Efficiency of Public Spending, Cambridge University Press, Cambridge.
  • LEWIN, MOREY, y COOK (1982), “Evaluating the administrative efficiency of courts”, OMEGAInternational Journal of Management Science, 10(4), pp. 401-411.
  • LOVELL y SCHMIDT (1988), A Comparison of Alternative Approaches to the Measurement of Productive Efficiency”, en DOGRAMACI y FÄRE, Applications of Modern Production Theory: Efficiency and Productivity, Kluwer Academic Publishers, Boston.
  • PASTOR (1993), Ah de la Justicia, Política Judicial y Economía. Civitas, Madrid.
  • PASTOR (2003a), “Los Nuevos Sistemas de Organización y Gestión de la Justicia: ¿Mito o Realidad?”, Conferencia sobre Justicia y Desarrollo en América Latina y el Caribe, Banco Interamericano de Desarrollo.
  • PASTOR (2003b), “Eficiencia y Eficacia de la Justicia”, Papeles de Economía Española, 95.
  • PASTOR (2003c), “Dilación, Eficiencia y Costes”, Documentos de Trabajo, Fundación BBVA, Bilbao.
  • PEDRAJA-CHAPARRO y SALINAS-JIMÉNEZ (1995), “La Eficiencia en la Administración de Justicia. Las Salas de lo Contencioso de los Tribunales Superiores de Justicia”, Revista de Economía Aplicada, 8, pp. 163-195.
  • PEDRAJA-CHAPARRO y SALINAS-JIMÉNEZ (1996), “An assessment of the efficiency of Spanish courts using DEA”, Applied Economics, 28(11), pp. 1391-1403.
  • POSNER (1973), “An Economic Approach to Legal Procedure and Judicial Administration”, The Journal of Legal Studies, 2(2), pp. 399-458.
  • POSNER (1993), “What do Judges Maximize? (The Same Thing Everybody Else Does)”, Supreme Court Economic Review, 3, pp. 1-41.
  • ROSALES-LÓPEZ (2008), “Economics of court performance: an empirical analysis”, European Journal of Law and Economics, 25, pp. 231-251.
  • SCHMIDT (1985-1986), “Frontier Production Functions”, Econometrics Review, 4(2), pp. 289- 328.
  • SCHNEIDER (2005), “Judicial career incentives and court performance: an empirical study of the German labour courts of appeal”, European Journal of Law and Economics, 20(2), pp. 127- 144.
  • SHAVELL (1981), “The Social versus the Private Incentive to Bring Suit in a Costly Legal System”, n. 741, National Bureau of Economic Research.
  • SHEPHARD (1970), Theory of cost and production functions. Princeton University Press, Princeton.
  • SMITH y MAYSTON (1987), “Measuring efficiency in the public sector”, OmegaInternational Journal of Management Science, 15(3), pp. 181-89.
  • STONE (2002), “How Not to Measure the Efficiency of Public Services (and How One Might)”, Journal of Royal Statististical Society, 165, pp. 405-434.
  • TULKENS (1993), “On FDH efficiency analysis: some methodological issues and applications on retail banking, courts, and urban transit”, Journal of Productivity Analysis, 4(1-2), pp. 183- 210.
  • WALDMAN (1983-84), “Properties of Technical Efficiency Estimators in the Stochastic Frontier Model”, Journal of Econometrics, 25, pp. 353-364.