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Exploring Hospital Efficiency within and between Italian Regions: New Empirical Evidence

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This paper investigates the eciency of Italian hospitals and how their performances have changed over the years 2007-2016, characterized by the great economic recession and budget constraints. We apply the Benefit of Doubt (BoD) approach to determine a composite index that considers the multi-dimensionality of the hospital outcome to be used as main output in a metafrontier production function based on a stochastic frontier framework. The effciency score distribution is then used to construct a Theil index in order to compare over time the inequality of the estimated effciency between hospitals, both within and between regions. The main findings show that the primary source of ineciency comes from managerial ineciency especially for hospitals located in southern regions. A clear and persistent North-South gap in eciency performances of hospitals has been found along with an increase in the inequality in terms of eciency between the areas of the country mostly determined by between region inequality.

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  • Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2020. "Exploring Hospital Efficiency within and between Italian Regions: New Empirical Evidence," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202024, University of Turin.
  • Handle: RePEc:uto:dipeco:202024
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    2. Guccio, Calogero & Pignataro, Giacomo & Romeo, Domenica & Vidoli, Francesco, 2024. "Is austerity good for efficiency, at least? A counterfactual assessment for the Italian NHS," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    3. Giovanni Carnazza & Raffaele Lagravinese & Paolo Liberati & Irene Torrini, 2024. "Monetary flows for health mobility: The Italian NHS from a network perspective," SERIES 01-2024, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Mar 2024.
    4. Boffardi, Raffaele, 2022. "How efficient is the Italian health system? Evidence on the role of political-institutional dynamics," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).

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    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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