Technical Efficiency, Specialization and Ownership Form: Evidences from a Pooling of Italian Hospitals
We evaluate how the productive structure and level of specialization of a hospital affect technical efficiency by analyzing a six-year panel database (2000/2005) drawn from hospital discharge records and Ministry of Health data. We adopt a distance function approach, while measuring the technical efficiency level with stochastic frontier techniques. After controlling for environmental variables and hospital case-mix, inefficiency is negatively associated with specialization and positively associated with capitalization. Capitalization is typical of private structures which, on average, use resources less efficiently with respect to public and not-for-profit hospitals. Finally, by looking at scale elasticities, we find some evidence of unexploited economies of scale, leaving room for centralization.
|Date of creation:||30 Sep 2009|
|Date of revision:||30 Sep 2009|
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- Gian Paolo Barbetta & Gilberto Turati & Angelo M. Zago, 2007.
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- Wang, Hung-jen & Schmidt, Peter, 2001.
"One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels,"
31075, University Library of Munich, Germany, revised Mar 2002.
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- Catherine J. Morrison Paul & Warren E. Johnston & Gerald A. G. Frengley, 2000. "Efficiency in New Zealand Sheep and Beef Farming: The Impacts of Regulatory Reform," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 325-337, May.
- Wang, Hung-Jen, 2002.
"Heteroscedasticity and non-monotonic efficiency effects of a stochastic frontier model,"
31076, University Library of Munich, Germany.
- Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
- Luca Grassetti & Enrico Gori & Simona Caterina Minotti, 2005. "Multilevel flexible specification of the production function in health economics," Working Papers 20050402, Università degli Studi di Milano-Bicocca, Dipartimento di Statistica.
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