Evidence map›Paper›PMID 41422076›Full record

ArticleNature communications2025

The importance of multiregional accounting for corporate carbon emissions.

Steven J Davis, Andrew Dumit, Mo Li, Yohanna Maldonado, Michael Steffen, Martha Stevenson, Tatiana Boldyreva, Sangwon Suh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Steven J DavisDepartment of Earth System Science, Stanford Doerr School of Sustainability, Stanford University, Stanford, CA, USA. sjdavis@stanford.edu.ORCID http://orcid.org/0000-0002-9338-0844
Andrew DumitWatershed, San Francisco, CA, USA.
Mo LiWatershed, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-3672-1622
Yohanna MaldonadoWatershed, San Francisco, CA, USA.
Michael SteffenWatershed, San Francisco, CA, USA.
Martha StevensonWorld Wildlife Fund, Washington, DC, USA.
Tatiana BoldyrevaCDP, London, UK.
Sangwon SuhWatershed, San Francisco, CA, USA. sangwon@watershedclimate.com.ORCID http://orcid.org/0000-0001-8290-6276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corporations routinely use environmentally-extended input-output models to estimate and report greenhouse gas emissions upstream in their supply chains. However, the most widely used models assume that supply chains and emissions intensities of industries match those of a single region-usually the U.S. or the U.K. Here, we use a high-resolution multiregional input-output model to demonstrate the scale and pattern of emissions that may be missed by single-region models. We find that the upstream emissions of the companies reporting to CDP are together greater by 2.0 gigatons of CO

Identifiers

PMID41422076
PMCPMC12847884

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.