Green credit risk identification and anti-corruption measures under the application of the multi-layer deep network
Abstract This study explores the application of a multi-layer deep neural network to identify green credit risks, with a focus on the role of anti-corruption measures. Using data from 36 Chinese banks, the model incorporates indicators of transparency and accountability to enhance risk prediction. B...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-08-01
|
| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-05616-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|