Exploring hospital efficiency within and between Italian regions: new empirical evidence
Raffaele Lagravinese and
Additional contact information
Roberto Zotti: University of Torino
Journal of Productivity Analysis, 2022, vol. 57, issue 3, No 3, 269-284
Abstract This paper investigates the efficiency 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 efficiency score distribution is then used to construct a Theil index in order to compare, over time, the inequality of the estimated efficiency between hospitals, both within and between regions. The main findings show that the primary source of inefficiency comes from managerial inefficiency especially for hospitals located in southern regions. A clear and persistent North-South gap in efficiency performances of hospitals has been found along with an increase in the inequality in terms of efficiency between the areas of the country mostly determined by between region inequality.
Keywords: I14; I18; C67; Benefit of Doubt; MetaFrontier; Health Efficiency; Regional Inequality (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s11123-022-00633-4 Abstract (text/html)
Access to full text is restricted to subscribers.
Working Paper: Exploring Hospital Efficiency within and between Italian Regions: New Empirical Evidence (2020)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:kap:jproda:v:57:y:2022:i:3:d:10.1007_s11123-022-00633-4
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2
Access Statistics for this article
Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski
More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().