Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 560

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

Corporate Climate Risk: Measurements and Responses

Open access
Li, Qing, Shan, Hongyu, Tang, Yuehua, Yao, Vincent·2024·The Review of Financial Studies

Abstract

This paper conducts a textual analysis of earnings call transcripts to quantify climate risk exposure at the firm level. We construct dictionaries that measure physical and transition climate risks separately and identify firms that proactively respond to climate risks. Our validation analysis shows that our measures capture firm-level variations in respective climate risk exposure. Firms facing high transition risk, especially those that do not proactively respond, have been valued at a discount in recent years as aggregate investor attention to climate-related issues has been increasing. We document differences in how firms respond through investment, green innovation, and employment when facing high climate risk exposure.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/rfs/hhad094

Cites

71 of 71 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 71 references

Cited by

See all 560

Metadata

Authors
Li, Q., Shan, H., Tang, Y., & Yao, V.
Venue
The Review of Financial Studies
Published
2024-01-16
Volume
37
Issue
6
Pages
1778-1830
ISSN
  • 0893-9454 (ISSN-L)
  • 1465-7368
OpenAlex
W4390954288
Cited by
560
References
71
FWCI
12.67
Type
journal article
Language
en
Open access
green

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Corporate Climate Risk: Measurements and Responses. https://app.cochat.ai/papers/10.1093/rfs/hhad094
The paper
Li, Q., Shan, H., Tang, Y., & Yao, V. (2024). Corporate Climate Risk: Measurements and Responses. The Review of Financial Studies. https://doi.org/10.1093/rfs/hhad094

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.