Department of Economics and Business, University of Catania, Italy.
Department of Finance, Ministry of Economy and Finance, Italy.
Soc Sci Med. 2020 Nov;265:113506. doi: 10.1016/j.socscimed.2020.113506. Epub 2020 Nov 7.
Testing for spatial dependent heterogeneity in hospital technical efficiency is crucial for separating spatial issues from the effects of regional institutional factors. We apply the Spatial Stochastic Frontier Analysis for studying the presence of spatial dependence by using novel data on Italian hospitals. This approach provides both a robust estimation of hospital technical efficiency and a careful assessment of spatial and regional issues. We find empirical support for the idea that regional and institutional factors are more important than neighbouring effects when looking at heterogeneity in hospital technical efficiency across Italy. The relevance of the regional organization of the Italian hospital system can justify our results. We also discuss the limitations of our analysis and provide sensitivity checks.
检测医院技术效率的空间依赖性异质性对于将空间问题与区域制度因素的影响区分开来至关重要。我们应用空间随机前沿分析来研究意大利医院的新数据中是否存在空间依赖性。这种方法不仅为医院技术效率提供了稳健的估计,还对空间和区域问题进行了仔细的评估。我们发现,在考察意大利各地医院技术效率的异质性时,区域和制度因素比相邻效应更为重要,这一观点得到了实证支持。意大利医院系统的区域组织的重要性可以解释我们的结果。我们还讨论了我们分析的局限性,并进行了敏感性检查。