climate-adaptation/firm-level-adaptation-data
This is the (preliminary) dataset for firm-level climate change adaptation. It contains the following comments: path: a unique identifier that stores the path of the file that was used to create the scores. cik: unique firm identifier. year: year of the report. date: publishing date of the report. num_paragraphs: number of paragraphs in the report. num_words: number of words in the report. Storm, Flood, Heatwave, Drought, Wildfire, Coldwave: share of paragraphs mentioning extreme weather… See the full description on the dataset page: https://huggingface.co/datasets/climate-adaptation/firm-level-adaptation-data.
This is the (preliminary) dataset for firm-level climate change adaptation.
It contains the following comments:
- path: a unique identifier that stores the path of the file that was used to create the scores.
- cik: unique firm identifier.
- year: year of the report.
- date: publishing date of the report.
- num_paragraphs: number of paragraphs in the report.
- num_words: number of words in the report.
- Storm, Flood, Heatwave, Drought, Wildfire, Coldwave: share of paragraphs mentioning extreme weather types, scaled by 1000. Classifier models developed in Schimanski et al. 2026.
- phyiscal_risk: share of paragraphs mentioning these physical climate risks, scaled by 1000. Classifier models developed in Koelbel et al. 2022.
- adaptation, action, solution, riskassessment, physicalprotection, adaptiveoperations, risktransfer: share of paragraphs mentioning adaptation (sub-)categories, scaled by 1000. See the paper for more details.
If you use the data, cite the paper:
@article{Schimanski26adaptation,
title={{Firm-level Climate Change Adaptation}},
author={Tobias Schimanski},
year={2026},
journal={Available on SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6710044},
}