Version 1
: Received: 5 August 2024 / Approved: 5 August 2024 / Online: 6 August 2024 (12:36:41 CEST)
How to cite:
Arnone, M.; Costantiello, A.; Leogrande, A.; Magazzino, C. Financial Stability and Innovation: The Role of Non-Performing Loans. Preprints2024, 2024080374. https://doi.org/10.20944/preprints202408.0374.v1
Arnone, M.; Costantiello, A.; Leogrande, A.; Magazzino, C. Financial Stability and Innovation: The Role of Non-Performing Loans. Preprints 2024, 2024080374. https://doi.org/10.20944/preprints202408.0374.v1
Arnone, M.; Costantiello, A.; Leogrande, A.; Magazzino, C. Financial Stability and Innovation: The Role of Non-Performing Loans. Preprints2024, 2024080374. https://doi.org/10.20944/preprints202408.0374.v1
APA Style
Arnone, M., Costantiello, A., Leogrande, A., & Magazzino, C. (2024). Financial Stability and Innovation: The Role of Non-Performing Loans. Preprints. https://doi.org/10.20944/preprints202408.0374.v1
Chicago/Turabian Style
Arnone, M., Angelo Leogrande and Cosimo Magazzino. 2024 "Financial Stability and Innovation: The Role of Non-Performing Loans" Preprints. https://doi.org/10.20944/preprints202408.0374.v1
Abstract
The following article analyses the relationship between Non-Performing Loans and innovation systems at a global level. The analysed data were obtained from the World Bank and the Global Innovation Index for the period 2013-2022 for 149 countries. The analysis was conducted using clustering with the k-Means algorithm, optimized with the Silhouette coefficient and the Elbow method. Subsequently, econometric analysis was carried out using panel data with Random Ef-fects and Fixed Effects. The clustering results show that the optimal number of clusters is three. The econometric analysis highlights the positive relationship between Non-Performing Loans, the exports of cultural and creative services, and the Innovation Input Sub-Index. The results also show the negative relationship between Non-Performing Loans, the H-Index, and the exports and imports of ICT services.
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.
