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• Marco Eugenio Carlo Vannini
• Riccardo Marselli

L’efficienza tecnica dei distretti di corte di appello italiani viene misurata mediante il metodo DEA (Data Envelopment Analysis). L’analisi consente di valutare l’efficienza relativa di ciascun distretto come distanza radiale dalla frontiera efficiente, definita dalle prassi migliori, e di individuare le variazioni dei fattori necessarie affinché un distretto inefficiente emuli il proprio benchmark (distretto o gruppo di distretti di riferimento collocati sulla frontiera). Viene inoltre effettuata la scomposizione dell’efficienza totale in efficienza tecnica pura ed efficienza di scala e, per ciascun distretto inefficiente, viene calcolato l’arretrato smaltibile. Infine, sulla base di un’analisi multivariata di tipo tobit, si stima l’influenza sull’indicatore di efficienza di una serie di fattori socio-economici del contesto territoriale.

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Paper provided by Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia in its series Working Paper CRENoS with number 200409.

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Date of creation: 2004
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Handle: RePEc:cns:cnscwp:200409

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1. Pedraja-Chaparro, Francisco & Salinas-Jimenez, Javier, 1996. "An Assessment of the Efficiency of Spanish Courts Using DEA," Applied Economics, Taylor and Francis Journals, vol. 28(11), pages 1391-1403, November. [Downloadable!] (restricted)
2. Lewin, Arie Y & Morey, Richard C & Cook, Thomas J, 1982. "Evaluating the administrative efficiency of courts," Omega, Elsevier, vol. 10(4), pages 401-411. [Downloadable!] (restricted)
3. Andrew Torre, 2003. "The Impact of Court Delays on the Prosecutor and the Defendant: An Economic Analysis," European Journal of Law and Economics, Springer, vol. 16(1), pages 91-111, July. [Downloadable!] (restricted)
4. Forsund,F.R. & Sarafoglou,N., 2000. "On the origins of data envelopment analysis," Memorandum 24/2000, Oslo University, Department of Economics. [Downloadable!]
5. Gravelle, H. S. E., 1990. "Rationing trials by waiting: Welfare implications," International Review of Law and Economics, Elsevier, vol. 10(3), pages 255-270, December. [Downloadable!] (restricted)

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This page was last updated on 2009-11-27.