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Sustainable development and corporate governance in the financial system: Are environmentally friendly banks less risky?
Abstract
This paper responds to the need for a deeper empirical investigation of the impact of corporate social responsibility pillars on the financial performance of banks. To address this question, this study first analyzes the factors that encourage banks to be more environmentally friendly and then investigates the relationship between a bank's environmental engagement and its risk. Using a sample of 142 banks from 35 countries covering the period from 2011 to 2015, we document the positive impact of effective corporate governance mechanisms on banks' environmental engagement. Moreover, by using the Heckman's two‐stage model for the treatment of sample selection bias, we find that banks that are more sensitive to environmental issues also exhibit less risk. Stakeholder theory and the conflict resolution hypothesis are useful frameworks to overcome the trade‐off between economy and ecology in the banking industry.
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Self-citation
Metadata
- Authors
- Gangi, F., Meles, A., D'Angelo, E., & Daniele, L. M.
- Venue
- Corporate Social Responsibility and Environmental Management
- Publisher
- Wiley
- Published
- 2018-11-12
- Volume
- 26
- Issue
- 3
- Pages
- 529-547
- ISSN
- 1535-3958 (ISSN-L)
- 1535-3966
- OpenAlex
- W2901334517
- Cited by
- 331
- References
- 122
- FWCI
- 20.53
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.