| Nº Sistema | 000475617 |
| Autor | |
| Autor | |
| Título | Assessing climate-related disclosures of European banks through text mining [Recurso electrónico] / Ángel-Ivan Moreno, Teresa Caminero. |
| Publicado en | Review of World Economics [Artículos], v. 162, issue 1, February 2026, pp. 5-29 |
| Nota general | Artículo de revista |
| Resumen | The Intergovernmental Panel on Climate Change—a United Nations body responsible for assessing the climate change science and producing comprehensive assessment reports on climate change—estimates that global net-zero should be achieved by 2050. To this end, many private firms are pledging to reach net-zero emissions by 2050. The Climate Data Steering Committee (CDSC) is working on an initiative to create a global central digital repository of climate disclosures, which tries to address the current data challenges. This paper assesses the progress within European financial institutions in addressing the data challenges outlined by the CDSC. Using a text-mining approach, coupled with the application of commercial Large Language Models for context verification, we calculate a Greenhouse Gas Disclosure Index (GHGDI), by analysing 23 very granular disclosures in the ESG reports between 2019 and 2021 of most of the significant banks under the ECB direct supervision. This index is then compared to the score given by CDP. The results indicate a moderate correlation between institutions not reporting to CDP upon request and a low GHG Disclosure Index (GHGDI). Institutions with high CDP score do not necessarily correlate with a high GHGDI. [Resumen de autor] [eng] |
| Restricciones | Acceso electrónico RESTRINGIDO por IP a los usuarios de la Biblioteca del Banco de España |
| Acceso electrónico | |
| Relacionado con | Documentos de Trabajo / Banco de España; 2326 |
| Clasificación | |
| Materia | |
| Materia |
2013 Banco de España, Madrid, España. Reservados todos los derechos
Basado en Ex Libris (© 2009 Ex Libris)