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Data Envelopment Analysis e sistemi sanitari regionali italiani

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  • Falavigna, Greta

    ()

  • Ippoliti, Roberto

    ()

Abstract

Il presente lavoro intende in prima battuta analizzare l'efficienza dei sistemi sanitari regionali sulla base della qualità percepita dai pazienti. Quest'ultima è stata calcolata sulla mobilità interregionale: flusso dei pazienti extra-regione (immigrati o mobilità positiva) confrontato con il flusso di quelli della regione stessa che escono per andare a farsi curare in un'altra (emigrati o mobilità passiva). Si ipotizza infatti che le persone si spostino dove percepiscono che la qualità sia migliore tenendo in considerazione la possibile influenza della rete sociale. Dopo aver ottenuto uno score di efficienza per ogni sistema sanitario regionale attraverso la metodologia della Data Envelopment Analysis è stato effettuato uno studio econometrico per verificare un'ulteriore ipotesi: può l'efficienza sanitaria regionale, così come concepita in questo lavoro, essere influenzata dal peso del settore pubblico? I risultati ottenuti suggeriscono che effettivamente il processo di privatizzazione della sanità regionale non porta a miglioramenti nel livello di qualità percepita dai pazienti.

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File URL: http://polis.unipmn.it/pubbl/RePEc/uca/ucapdv/ippoliti187.pdf
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Bibliographic Info

Paper provided by Institute of Public Policy and Public Choice - POLIS in its series POLIS Working Papers with number 159.

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Length: 15 pages
Date of creation: Jul 2011
Date of revision:
Handle: RePEc:uca:ucapdv:159

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Web page: http://polis.unipmn.it

Related research

Keywords: analisi regionale; efficienza; DEA; sistema sanitario; regional analysis; efficiency; DEA; medical care system;

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  1. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
  2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  3. Pulina, Manuela & Detotto, Claudio & Paba, Antonello, 2010. "An investigation into the relationship between size and efficiency of the Italian hospitality sector: A window DEA approach," European Journal of Operational Research, Elsevier, vol. 204(3), pages 613-620, August.
  4. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
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