Investigating the Determinants of Beds for High-Care Specialties in the Italian Regions in the Environmental, Social and Governance Model

Emanuela Resta, Onofrio Resta, Alberto Costantiello () and Angelo Leogrande

MPRA Paper from University Library of Munich, Germany

Abstract: In the following article, it is presented an investigation of the determinants of Beds for High-Care Specialties-BHCS in the Italian regions in the context of Environmental, Social and Governance-ESG approach. Data from ISTAT-BES for 20 countries in the period 2004-2021 are been used. Different econometric techniques have been applied i.e.: Pooled Ordinary Least Squares, Panel Data with Fixed Effects, Panel Data with Random Effects, Dynamic Panel at 1 stage. Furthermore, a cluster analysis performed with a k-Means algorithm optimized with the Silhouette Coefficient indicated the presence of three clusters. Finally, eight different machine-learning algorithms are analysed to predict the future value of BHCS. The results show that the Artificial Neural Network-ANN algorithm is the best algorithm. The future value of BHSC is expected to growth on average of 4.88% for the analysed regions.

Keywords: Analysis of Health Care Markets; Health Behaviors; Health Insurance; Public and Private; Health and Inequality; Health and Economic Development; Government Policy; Regulation; Public Health. (search for similar items in EconPapers)
JEL-codes: I11 I12 I13 I14 I15 I18 (search for similar items in EconPapers)
Date: 2023-12-30
New Economics Papers: this item is included in nep-big and nep-env
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