Version 1
: Received: 15 June 2024 / Approved: 15 June 2024 / Online: 17 June 2024 (08:35:30 CEST)
How to cite:
Resta, E.; Logroscino, G.; Tafuri, S.; Peter, P.; Noviello, C.; Costantiello, A.; Leogrande, A. The ESG Determinants of Mental Health Index Across Italian Regions: A Machine Learning Approach. Preprints2024, 2024061093. https://doi.org/10.20944/preprints202406.1093.v1
Resta, E.; Logroscino, G.; Tafuri, S.; Peter, P.; Noviello, C.; Costantiello, A.; Leogrande, A. The ESG Determinants of Mental Health Index Across Italian Regions: A Machine Learning Approach. Preprints 2024, 2024061093. https://doi.org/10.20944/preprints202406.1093.v1
Resta, E.; Logroscino, G.; Tafuri, S.; Peter, P.; Noviello, C.; Costantiello, A.; Leogrande, A. The ESG Determinants of Mental Health Index Across Italian Regions: A Machine Learning Approach. Preprints2024, 2024061093. https://doi.org/10.20944/preprints202406.1093.v1
APA Style
Resta, E., Logroscino, G., Tafuri, S., Peter, P., Noviello, C., Costantiello, A., & Leogrande, A. (2024). The ESG Determinants of Mental Health Index Across Italian Regions: A Machine Learning Approach. Preprints. https://doi.org/10.20944/preprints202406.1093.v1
Chicago/Turabian Style
Resta, E., Alberto Costantiello and Angelo Leogrande. 2024 "The ESG Determinants of Mental Health Index Across Italian Regions: A Machine Learning Approach" Preprints. https://doi.org/10.20944/preprints202406.1093.v1
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
Subject
Business, Economics and Management, Econometrics and Statistics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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