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Evaluating the administrative efficiency of courts

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  • Lewin, Arie Y
  • Morey, Richard C
  • Cook, Thomas J
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    Abstract

    In addition to being held accountable for judicial decision, courts, like other public agencies, can and should be evaluated in terms of their administrative efficiency. This paper illustrates how courts can be evaluated in terms of their relative administrative efficiency, using a new approach--data envelopment analysis (DEA)--first proposed by Charnes et al. [1]. The DEA is based upon the economic notion of Pareto optimality which states that a given decision making unit (DMU) is inefficient if some other DMU, or some combination of other DMUs, can produce at least the same amounts of all outputs with less of some resource input and not more of any other resource. Conversely a DMU is said to be efficient if the above is not possible. Charnes et al. [1] generalized the usual input/output ratio measure of efficiency for a given unit in terms of a fractional linear program with fractional constraints. In the case of courts, the efficiency of any particular court is calculated by forming the ratio of a weighted sum of outputs to a weighted sum of inputs, where the weights for both outputs and inputs are to be selected in a manner that calculates the Pareto-Koopmans efficiency of the court. This paper reviews the DEA method and illustrates its application to a data base for 100 criminal superior courts in North Carolina.

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    Bibliographic Info

    Article provided by Elsevier in its journal Omega.

    Volume (Year): 10 (1982)
    Issue (Month): 4 ()
    Pages: 401-411

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    Handle: RePEc:eee:jomega:v:10:y:1982:i:4:p:401-411

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    Cited by:
    1. M. A. Garcia-Valinas & M. A. Muniz, 2007. "Is DEA useful in the regulation of water utilities? A dynamic efficiency evaluation (a dynamic efficiency evaluation of water utilities)," Applied Economics, Taylor & Francis Journals, vol. 39(2), pages 245-252.
    2. Martin Schneider, . "Erfolgsmessung in Gerichten," German Working Papers in Law and Economics 2004-1-1103, Berkeley Electronic Press.
    3. Cheon, SangHyun, 2007. "World Port Institutions and Productivity: Roles of Ownership, Corporate Structure, and Inter-port Competition," University of California Transportation Center, Working Papers qt7t64h5wr, University of California Transportation Center.
    4. C. Lovell & Shawna Grosskopf & Eduardo Ley & Jesús Pastor & Diego Prior & Philippe Eeckaut, 1994. "Linear programming approaches to the measurement and analysis of productive efficiency," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 2(2), pages 175-248, December.
    5. Chia-Chin Chang & Shiu-Wan Hung & Sin-Yi Huang, 2013. "Evaluating the operational performance of knowledge-based industries: the perspective of intellectual capital," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1367-1383, April.
    6. Tongzon, Jose, 2001. "Efficiency measurement of selected Australian and other international ports using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(2), pages 107-122, February.
    7. J. David Cummins & Hongmin Zi, 1997. "Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry," Center for Financial Institutions Working Papers 97-03, Wharton School Center for Financial Institutions, University of Pennsylvania.
    8. Karan S. Thagunna & Shashank Poudel, 2013. "Measuring Bank Performance of Nepali Banks: A Data Envelopment Analysis (DEA) Perspective," International Journal of Economics and Financial Issues, Econjournals, vol. 3(1), pages 54-65.
    9. R. Marselli & M. Vannini, 2004. "L’efficienza tecnica dei distretti di Corte d'Appello italiani: aspetti metodologici, benchmarking e arretrato smaltibile," Working Paper CRENoS 200409, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    10. Boari, Nicola, 1997. "On the efficiency of penal systems: Several lessons from the Italian experience," International Review of Law and Economics, Elsevier, vol. 17(1), pages 115-126, March.
    11. Maria da Conceição Sampaio de Sousa & Silvane Battaglin Schwengber, 2005. "Efficiency Estimates For Judicial Services In Brazil: Nonparametric Fdh (Free Disposal Hull) And The Expected Order- M Efficiency Scores For Rio Grande Do Sul Courts´," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33th Brazilian Economics Meeting] 053, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. A. Peyrache & Angelo Zago, 2012. "Large Courts, Small Justice! The inefficiency and the optimal structure of the Italian Justice Sector," CEPA Working Papers Series WP062012, School of Economics, University of Queensland, Australia.
    13. Morey, Matthew R. & Morey, Richard C., 1999. "Mutual fund performance appraisals: a multi-horizon perspective with endogenous benchmarking," Omega, Elsevier, vol. 27(2), pages 241-258, April.
    14. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    15. Miguel St. Aubyn, 2008. "Law and Order Efficiency Measurement – A Literature Review," Working Papers Department of Economics 2008/19, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
    16. van Tulder, Frank & van der Torre, Abraham, 1999. "Modeling crime and the law enforcement system," International Review of Law and Economics, Elsevier, vol. 19(4), pages 471-486, December.
    17. Don U.A. Galagedera, 2004. "A Survey On Investment Performance Appraisal Methods With Special Reference To Data Envelopment Analysis," Finance 0406013, EconWPA.
    18. Kyuseok Lee & Kyuwan Choi, 2010. "Cross redundancy and sensitivity in DEA models," Journal of Productivity Analysis, Springer, vol. 34(2), pages 151-165, October.
    19. Zanakis, Stelios H. & Mandakovic, Tomislav & Gupta, Sushil K. & Sahay, Sundeep & Hong, Sungwan, 1995. "A review of program evaluation and fund allocation methods within the service and government sectors," Socio-Economic Planning Sciences, Elsevier, vol. 29(1), pages 59-79, March.
    20. Martin Schneider, 2005. "Judicial Career Incentives and Court Performance: An Empirical Study of the German Labour Courts of Appeal," European Journal of Law and Economics, Springer, vol. 20(2), pages 127-144, September.
    21. Al-Shammari, Minwir, 1999. "Optimization modeling for estimating and enhancing relative efficiency with application to industrial companies," European Journal of Operational Research, Elsevier, vol. 115(3), pages 488-496, June.
    22. Fatih Deyneli, 2012. "Analysis of relationship between efficiency of justice services and salaries of judges with two-stage DEA method," European Journal of Law and Economics, Springer, vol. 34(3), pages 477-493, December.
    23. Michael Gorman & John Ruggiero, 2009. "Evaluating U.S. judicial district prosecutor performance using DEA: are disadvantaged counties more inefficient?," European Journal of Law and Economics, Springer, vol. 27(3), pages 275-283, June.

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