The ESG Determinants of Mental Health Index Across Italian Regions: A Machine Learning Approach

Emanuela Resta, Giancarlo Logroscino, Silvio Tafuri, Preethymol Peter, Chiara Noviello, Alberto Costantiello () and Angelo Leogrande

MPRA Paper from University Library of Munich, Germany

Abstract: The following article analyses the relationship between the mental health index and the variables of the Environment, Social and Governance-ESG model in the Italian regions between 2004 and 2023. First of all, a static analysis is proposed aimed at identifying trends relating to mental health in the Italian regions with indication of the regional gaps. Subsequently, a clustering with k-Means algorithm is proposed. Below is a comparison of 11 machine learning algorithms for predicting the performance of the mental health index. Finally, the article offers some economic policy suggestions. The results are critically discussed in light of the scientific literature

Keywords: Mental Health Index; Machine Learning; ESG; Regional Inequalities (search for similar items in EconPapers)
JEL-codes: I11 I12 I13 I14 I15 I18 (search for similar items in EconPapers)
Date: 2024-06-14
New Economics Papers: this item is included in nep-cmp, nep-hea, nep-sbm and nep-ure
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Related works:
Working Paper: The ESG Determinants of Mental Health Index Across Italian Regions: A Machine Learning Approach (2024)
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