The Renunciation of Healthcare Services in the Italian Regions in the ESG Context

Angelo Leogrande, Emanuela Resta and Alberto Costantiello ()

MPRA Paper from University Library of Munich, Germany

Abstract: In the following article, we estimate the Renunciation of Healthcare Services-RHS in Italian regions in the context of the Environmental, Social and Governance-ESG model during the period 2004-2022. The data were acquired from the ISTAT-BES dataset. The data were analyzed using the following econometric techniques: Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled Ordinary Least Squares-OLS, Weighted Least Square-WLS,. Results show that RHS tends to growth with the E-Component, is negatively associated to the S-Component, and positively associate with the G-Component within the ESG model. Furthermore, a clusterization with the unsupervised k-Means algorithm is presented and the results are discussed with a confrontation between optimal and suboptimal k values optimized with the Silhouette Coefficient. Finally, a confrontation among eight different machine-learning algorithms is performed to predict the future value of RHS. Outcomes show that the Simple Regression Tree is the best predictive algorithm and that the level of RHS is predicted to growth on average of 4.4% for the Italian regions. Results are critically discussed.

Keywords: Analysis of Health Care Markets; Health Behaviours; 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: I10 I11 I12 I13 I14 I15 (search for similar items in EconPapers)
Date: 2024-03-04
New Economics Papers: this item is included in nep-env
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Related works:
Working Paper: The Renunciation of Healthcare Services in the Italian Regions in the ESG Context (2024)
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