ArticleNature communications2025
Tracking business opportunities for climate solutions using AI in regulated accounting reports.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Public institutions for cleantech commercialization in the United States.Nature communications · 2026Article
- Tracking business opportunities for climate solutions using AI in regulated accounting reports.Nature communications · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The transition to a low-carbon economy offers substantial business opportunities, yet most research focuses on risks. This study develops a metric to identify firms advancing "climate solutions" by applying large language models to 39,710 10-K filings from 4,483 U.S. firms (2005-2022). The metric reveals a rising emphasis on climate solutions, validated by its responsiveness to policy shocks (e.g., Inflation Reduction Act) and correlation with green revenues and innovation indicators. We apply the measure to three inquiries: (i) firms engaged in climate solutions experience higher revenue growth, especially in sectors with strong intellectual property protection and technologies with high abatement potential; (ii) a modest political divide exists, with firms located in states with predominantly Republican voting patterns exhibiting lower climate solutions-a gap that narrows for low-cost technologies; and (iii) seemingly unrelated industries converge around shared technologies, reflected in higher stock return synchronicity. These results illustrate the value of AI-based analysis of regulatory filings for uncovering climate-related business opportunities.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.