Evidence map›Paper›PMID 41579158›Full record

ArticleCarbon balance and management2026

High-resolution carbon footprint tracing within and between China

Yonghua Liu, Xiaowei Chuai, Ying Xu, Jiqun Wen, Haidong Li, Junyu Lu, Hao Meng, Tong Wang

Abstract read
In one paragraph

Article in Carbon balance and management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yonghua LiuNanjing Institute of Environmental Sciences , Ministry of Ecology and Environment of China, Jiangsu Province, Nanjing, 210042, China.
Xiaowei ChuaiSchool of Geography & Ocean Science, Nanjing University, Jiangsu Province, Nanjing, 210046, China. chuaixiaowei@163.com.ORCID http://orcid.org/0000-0003-0217-9254
Ying XuSchool of Geography & Ocean Science, Nanjing University, Jiangsu Province, Nanjing, 210046, China.ORCID http://orcid.org/0009-0001-7067-0005
Jiqun WenSchool of Public Administration, Guangdong University of Finance and Economics, Guangdong Province, Guangzhou, 510320, China.
Haidong LiNanjing Institute of Environmental Sciences , Ministry of Ecology and Environment of China, Jiangsu Province, Nanjing, 210042, China.
Junyu LuSchool of Community Resources and Development, Phoenix, AZ, USA.
Hao MengSchool of Economics, Nanjing University of Finance and Economics, Jiangsu Province, 210023, Nanjing, China.
Tong WangSchool of Geography & Ocean Science, Nanjing University, Jiangsu Province, Nanjing, 210046, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-resolution carbon emission checking and the tracking of carbon flows within and between cities are crucial for carbon emissions reduction and regional coordinated development. However, current research in both directions remains insufficient and requires further exploration. This study selected two big and tight interacted cities from the urban agglomeration along China's longest and largest river. The research employs two methodologies, the first monitors carbon emissions in high resolution and the second checks the indirect carbon flow hotspots between the two cities.

resultsResults found that both cities showed a significant increasing trend for total carbon emissions from 2000 to 2020. The peak for Nanjing was in 2018, 2648.09 × 10

Indexed as

Carbon emissionsCarbon footprintCityHigh resolutionHotspotsSpatial

Identifiers

PMID41579158
PMCPMC12911235

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.