Version 1
: Received: 13 July 2024 / Approved: 14 July 2024 / Online: 15 July 2024 (08:07:14 CEST)
How to cite:
Arnone, M.; Leogrande, A.; Costantiello, A.; Laureti, L. Banking Stability in the ESG Framework Across Italian Regions. Preprints2024, 2024071131. https://doi.org/10.20944/preprints202407.1131.v1
Arnone, M.; Leogrande, A.; Costantiello, A.; Laureti, L. Banking Stability in the ESG Framework Across Italian Regions. Preprints 2024, 2024071131. https://doi.org/10.20944/preprints202407.1131.v1
Arnone, M.; Leogrande, A.; Costantiello, A.; Laureti, L. Banking Stability in the ESG Framework Across Italian Regions. Preprints2024, 2024071131. https://doi.org/10.20944/preprints202407.1131.v1
APA Style
Arnone, M., Leogrande, A., Costantiello, A., & Laureti, L. (2024). Banking Stability in the ESG Framework Across Italian Regions. Preprints. https://doi.org/10.20944/preprints202407.1131.v1
Chicago/Turabian Style
Arnone, M., Alberto Costantiello and Lucio Laureti. 2024 "Banking Stability in the ESG Framework Across Italian Regions" Preprints. https://doi.org/10.20944/preprints202407.1131.v1
Abstract
This work aims to initiate a reflection on the awareness of environmental, social, and corporate governance issues, summarized in the acronym ESG (Environmental, Social, Governance), among Italian SMEs. The integration of ESG issues into business models has led to an expansion of the risk taxonomy affecting corporate management. In addition to traditional financial risks, new risks have emerged, primarily climate risk, environmental, and energy risks, which can significantly impact companies' ability to create economic value. This includes planning and designing virtuous initiatives focused on sustainability and the ability to build public-private partnerships with various stakeholders. After this theoretical framework aimed at highlighting the evolution of the concept of corporate sustainability following the introduction of ESG factors, a clustering of non-performing loans of Italian companies is proposed using a k-Means algorithm, comparing the results obtained through two different methods, namely the Elbow method and the Silhouette coefficient. Finally, using data on Italian regions between 2004 and 2023, an empirical analysis is conducted to provide an estimate of the relationship between non-performing loans and some variables related to ESG components.
Keywords
Sustainability; ESG; non performing loans; SMEs; clustering
Subject
Business, Economics and Management, Economics
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.
