Evaluating TCFD Reporting: A New Application of Zero-Shot Analysis to Climate-Related Financial Disclosures
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Abstract (arXiv)
We examine climate-related disclosures in a large sample of reports published by banks that officially endorsed the recommendations of the Task Force for Climate-related Financial Disclosures (TCFD). In doing so, we introduce a new application of the zero-shot text classification. By developing a set of fine-grained TCFD labels, we show that zero-shot analysis is a useful tool for classifying climate-related disclosures without further model training. Overall, our findings indicate that corporate climate-related disclosures grew dynamically after the launch of the TCFD recommendations. However, there are marked differences in the extent of reporting by recommended disclosure topic, suggesting that some recommendations have not yet been fully met. Our findings yield important conclusions for the design of climate-related disclosure frameworks.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 7 of its 23 references that are in the map. First posted on arXiv 1 Feb 2023.
Builds on
7 of 23 references.
References · 7
- 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
- 2019LayoutLM: Pre-training of Text and Layout for Document Image Understandingcited by 553
- 2018Analysis Methods in Neural Language Processing: A Surveycited by 277
- 2021ClimateBert: A Pretrained Language Model for Climate-Related Textcited by 90
- 2021VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groupscited by 27
- 2022ESGBERT: Language Model to Help with Classification Tasks Related to Companies Environmental, Social, and Governance Practicescited by 11
- 2021Automated Identification of Climate Risk Disclosures in Annual Corporate Reportscited by 5
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Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 1.
3 papers.
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- 2026What Transfers Under Source Shift? Definitions, Examples, and Fine-Tuning for Climate Disclosure Classificationcited by 0
- 2026What Transfers Under Source Shift? Definitions, Examples, and Fine-Tuning for Climate Disclosure Classification20 Jul 2026
- 2024WeatherQA: Can Multimodal Language Models Reason about Severe Weather?17 Jun 2024
- 2023Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey5 Dec 2023