Voluntary carbon reporting prediction : a machine learning approach
Year of publication: |
2023
|
---|---|
Authors: | Frost, Geoffrey ; Jones, Stewart ; Yu, Muchen |
Published in: |
Abacus : a journal of accounting, finance and business studies. - Oxford : Wiley-Blackwell, ISSN 1467-6281, ZDB-ID 1480492-X. - Vol. 59.2023, 4, p. 1116-1166
|
Subject: | Corporate governance | CSR performance | Financial performance | Gradient boosting machines | Logit | National Greenhouse and Energy Reporting scheme | Random forests | Voluntary carbon reporting | Treibhausgas-Emissionen | Greenhouse gas emissions | Corporate Social Responsibility | Corporate social responsibility | Künstliche Intelligenz | Artificial intelligence | Corporate Governance | Emissionshandel | Emissions trading | Klimaschutz | Climate protection | Selbstverpflichtung | Voluntary agreement |
-
Voluntary corporate climate initiatives and regulatory loom : batten down the hatches
Ilić, Dragan, (2015)
-
Corporate greenhouse gas emission reporting : a stocktaking of government schemes
Kauffmann, Céline, (2012)
-
Voluntary corporate climate initiatives and regulatory threat
Ilić, Dragan, (2022)
- More ...
-
CSR disclosure and financial performance revisited : a cross-country analysis
Beck, Cornelia, (2018)
-
Corporate environmental and social reporting
Adams, Carol, (2003)
-
In pursuit of a "single source of truth" : from threatened legitimacy to integrated reporting
Beck, Cornelia, (2017)
- More ...