公共数据

Firm-level Climate Change Exposure

  • Contributors: Zacharias Sautner, Laurence van Lent, Grigory Vilkov, Ruishen Zhang
  • Date created: June 29, 2020 10:50 PM | Last Updated: October 8, 2021 05:02 PM
  • Identifier: DOI 10.17605/OSF.IO/FD6JQ
  • Description: We introduce a methodology that identifies firm-level climate change exposures through textual analysis of earnings conference call transcripts from over 10,000 firms across 34 countries between 2002 and 2020. This approach captures exposures related to climate-related opportunities, physical impacts, and regulatory shocks. The exposure metrics demonstrate cross-sectional and temporal variations consistent with theoretical expectations and outperform carbon intensity metrics or ratings in capturing firm-level heterogeneity. These measures correlate with economic factors previously established as climate exposure indicators (e.g., public climate attention). Exposure to regulatory shocks exhibits a negative association with firm valuations, though this relationship emerges predominantly in recent years.
  • Background: For comprehensive methodological details, refer to the cited paper. Briefly, exposure measures quantify the relative frequency of climate-related bigrams within transcripts, normalized by total bigrams. These metrics reflect firm-specific climate event occurrences. Our framework further enables construction of first-moment (sentiment) and second-moment (uncertainty) shock characteristics. Sentiment measures assess contextual tone polarity (Loughran and McDonald 2011), while risk metrics quantify co-occurrence with "risk"/"uncertainty" lexicons. Following Hassan et al. (2019), these components constitute integral dimensions of exposure measures.
  • Updates [2021-05-14]: Data extended through 2020Q4.
  • Updates [2021-04-03]: Added missing 2019Q3-Q4 data in latest version.
  • Updates [2021-01-19]: Data updated through 2020Q3.

  Please cite the following study when utilizing this Climate Change Exposure/Risk/Sentiment dataset:

  This dataset is publicly accessible under the CC-BY 4.0 license, requiring attribution as:

  with mandatory citation of both data and associated publication in derivative works.

  With authorization from Professor Ruishen Zhang at The University of Hong Kong, CnOpenData has established a data portal and index to facilitate scholarly access.

  Download data at Firm-level Climate Change Exposure or via the direct link below.


Temporal Coverage

2001-2020


Field Descriptions

Sample Data

firm-year-level Climate Change Exposure

firm-quarter-level Climate Change Exposure


References


Update Frequency

Updated irregularly