Evidence map›Paper›PMID 41841038›Full record

ArticlePNAS nexus2026

From local production to global consumption: Assessing the carbon footprints of Chinese cities in global value chains.

Shaojian Wang, Junyi Liang, Yuli Shan, Chuanglin Fang, Xuemei Bai

Abstract read
In one paragraph

Article in PNAS nexus, 2026. 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

5 authors.

Shaojian WangSchool of Urban Design, Wuhan University, Wuhan 430072, China.ORCID https://orcid.org/0000-0001-9082-8562
Junyi LiangSchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China.ORCID https://orcid.org/0009-0008-6175-0901
Yuli ShanSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.ORCID https://orcid.org/0000-0002-5215-8657
Chuanglin FangKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.ORCID https://orcid.org/0000-0001-6043-8491
Xuemei BaiFenner School of Environment and Society, Australian National University, Acton, ACT 2601, Australia.ORCID https://orcid.org/0000-0001-6556-8041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As cities take on increasingly specialized roles in global value chains (GVCs), the spatial disconnect between where emissions occur and where responsibility lies continues to widen. However, city-level carbon flows across GVCs remain largely underexamined, hindering the design of effective climate policies. Here, we develop a GVC-oriented carbon accounting framework by nesting a multiregional input-output (MRIO) model of 313 Chinese cities within a global MRIO system. We quantify the upstream and downstream carbon footprints of Chinese cities via GVCs and assess their economic gains from GVC integration. Our analysis reveals a strong concentration of foreign demand-driven emissions (FDEs) in major coastal hubs, with the top 10 cities accounting for 25% of national FDE. In these cities, up to 43% of FDE stems from intermediate goods trade. Carbon emissions per unit of gross domestic product from international trade were 1.5 times higher than those solely relying on domestic industrial chains. In 54 service- and high-tech-oriented cities, over 20% of emissions occurred outside their borders and were induced by international supply chains (foreign GVC segment), with the United States being the largest contributor. At the national level, the United States alone accounted for 43.7% of emissions embodied in Chinese 313 cities' gross exports. Our framework may inform more equitable allocation of responsibilities to develop collaborative decarbonization strategies across cities.

Indexed as

city-level carbon emissionsglobal value chain (GVC)nested multiregional input−output modelupstream and downstream linkage

Identifiers

PMID41841038
PMCPMC12989264

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.