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Il modello di Data Envelopment Analysis per la stima dell?efficienza nel settore idrico e alcuni risultati empirici in tema di privatizzazione

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  • Piercarlo Pietra

Abstract

Il settore idrico ? tipicamente caratterizzato da situazioni di monopolio naturale. Questo aspetto ? potenzialmente in grado di determinare un minor impegno nella ricerca di incrementi nei livelli di efficienza aziendale. Sono stati quindi svolti, in numerosi paesi, molti studi tesi ad individuare metodologie di misurazione dell?efficienza nel settore idrico e ad implementare tali metodologie. Inoltre molti studi hanno affrontato la questione pi? specifica dell?attitudine della propriet? privata a sollecitare, nel settore idrico, livelli di efficienza maggiore rispetto alla propriet? pubblica. Questo lavoro passa in rassegna i principali contributi empirici svolti su tale questione nei maggiori paesi stranieri.

Suggested Citation

  • Piercarlo Pietra, 2014. "Il modello di Data Envelopment Analysis per la stima dell?efficienza nel settore idrico e alcuni risultati empirici in tema di privatizzazione," ECONOMIA E DIRITTO DEL TERZIARIO, FrancoAngeli Editore, vol. 2014(3), pages 443-450.
    • Handle: RePEc:fan:ededed:v:html10.3280/ed2014-003007
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    References listed on IDEAS

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    1. Michael Zschille & Matthias Walter, 2012. "The performance of German water utilities: a (semi)-parametric analysis," Applied Economics, Taylor & Francis Journals, vol. 44(29), pages 3749-3764, October.
    2. Thanassoulis, Emmanuel, 2000. "The use of data envelopment analysis in the regulation of UK water utilities: Water distribution," European Journal of Operational Research, Elsevier, vol. 126(2), pages 436-453, October.
    3. Tim Coelli & Shannon Walding, 2005. "Performance Measurement in the Australian Water Supply Industry," CEPA Working Papers Series WP012005, School of Economics, University of Queensland, Australia.
    4. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, April.
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    More about this item

    Keywords

    Data Envelopment Analysis; stima dell?efficienza.;

    JEL classification:

    • L - Industrial Organization

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