Unknown

Dataset Information

Empirically assessing corporate adaptation and resilience disclosure using AI.


ABSTRACT: The extent to which firms are adapting and building resilience to environmental change is crucial information for financial institutions, regulators and governments. While corporates' physical climate risk exposure of their assets to environmental change can be calculated using models, additional information is needed to evaluate their vulnerability to physical climate change, how well they are adapting and broader alignment with societal adaptation and resilience (A&R) goals. This paper empirically evaluates the extent of A&R-related information in current corporate sustainability reports to provide such insights. We build on established sustainability disclosure frameworks and develop an A&R disclosure framework that we combine with the latest advances in large language models to assess

SUBMITTER: Spacey Martin R 

PROVIDER: S-EPMC12900641 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature