The importance of multiregional accounting for corporate carbon emissions

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<sub>2</sub>-equivalent emissions (~10%) when estimated by a multiregional model instead of a U.S.-based single-region model, with the largest differences in manufacturing sectors of moderate emissions intensity. Widespread adoption of multiregional models could thus improve the accuracy of corporate emissions inventories and help prioritize primary data collection and emissions reduction efforts, often by shifting focus to energy- and emissions-intensive sectors of industrializing nations.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-12-20
DOI
https://doi.org/10.1038/s41467-025-67759-5
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The importance of multiregional accounting for corporate carbon emissions

Steven J. Davis, Matt Stevenson, M. Steffen, Sangwon Suh et al.
Nature Communications
Environmental Impact and Sustainability
article

The importance of multiregional accounting for corporate carbon emissions

Steven J. Davis, Matt Stevenson, M. Steffen, Sangwon Suh, Mo Li, Andrew Dumit, Yohanna Maldonado, Tatiana Boldyreva
article en

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<sub>2</sub>-equivalent emissions (~10%) when estimated by a multiregional model instead of a U.S.-based single-region model, with the largest differences in manufacturing sectors of moderate emissions intensity. Widespread adoption of multiregional models could thus improve the accuracy of corporate emissions inventories and help prioritize primary data collection and emissions reduction efforts, often by shifting focus to energy- and emissions-intensive sectors of industrializing nations.

Nature CommunicationsVol. 17(1)
University of California, Santa Barbara (US), World Wildlife Fund (US), Watershed (GB), Stanford Medicine (US), Watershed Center (US), Stanford University (US)
Openalex Percentile: Top 60%
Environmental Impact and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The importance of multiregional accounting for corporate carbon emissions — Steven J. Davis, Matt Stevenson, et al. · Nature Communications (2025) | TGRS Research Map | TGRS