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Efficiency comparison for directly managed public hospitals for different geographical area in Italy

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  • Claudio Pinto

    (Università di Salerno, Italy)

Abstract

In Italy (and in the other European countries) the debate of the difference in the efficiency in the hospital services production is a crucial, principally in the context of hospitals costs containment and regional responsbility in the managing, organizing and financing their own health care system. In this paper we compare the relative efficiency of the Italian directly managed hospitals using robust advanced m-order non-parametric frontier approach. In this manner we deal with the influence of outliers on the measurement and can control for the sample size difference. To compare the efficiency between different geographical area, we carried out two non parametric tests used in this literature. The hospital production model estimated here is in line with the literature of the non-parametric efficiency analysis on hospital sector, but limited data to force us to consider only acute (in ordinary and day hospital regime), surgical and assistance activity, eliminating emergency service and outpatient activity. The results suggest that in the 2007 statistically significant differences remain between North and South and Isles areas. Less marked are the differences between North and Centre, and Centre and South and Isles. The analysis of proportion give us a picture of these differences.

Suggested Citation

  • Claudio Pinto, 2014. "Efficiency comparison for directly managed public hospitals for different geographical area in Italy," Working papers 5, Società Italiana di Economia Pubblica.
  • Handle: RePEc:ipu:wpaper:5
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    References listed on IDEAS

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    More about this item

    Keywords

    efficiency; directly managed hospitals; m-order frontier; non-parametric tests; geographical areas comparison;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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