Evidence map›Paper›PMID 41456219›Full record

ArticleCarbon balance and management2025

Dynamics of carbon balance and its influencing factors in the Yangtze River Delta: a spatial network perspective.

Hu Yi'na, Chai Menglu, Long Qian, Wu Yijing, Li Niuniu, Wei Dongyu

Abstract read
In one paragraph

Article in Carbon balance and management, 2025. 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

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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

6 authors.

Hu Yi'naSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China. huyina@shnu.edu.cn.
Chai MengluSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
Long QianSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
Wu YijingSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
Li NiuniuSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
Wei DongyuSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.

Funding

National Natural science foundation of China 42201102
6 · The paper itself

Abstract

Understanding carbon balance is crucial for assessing regional carbon budgets and formulating effective emission reduction policies. However, existing studies have primarily focused on carbon balance dynamics in a specific region, overlooking intercity linkages, making it difficult to guide carbon reduction strategies for inter-regional cooperation. Based on the carbon balance dynamics calculated from the carbon emissions and sinks of 16 core cities in the Yangtze River Delta (YRD) from 2000 to 2020, this study introduced a regional network-based framework to analyze the functional roles of cities in carbon balance, and employed Geodetector to quantify the spatial heterogeneity and interaction effects of key socio-ecological drivers. The results showed that the total carbon emissions in the YRD increased by 3.06 times, while carbon sinks only grew by 1.11 times, leading to a decline in the carbon balance index from -0.67 in 2000 to -0.87 in 2020. The carbon balance network in the YRD exhibited a "hub-driven, multi-level collaborative structure", with Shanghai, Suzhou, Wuxi, and Ningbo as core nodes, maintaining strong interconnections with other cities. During 2000-2020, the network density and correlation numbers initially increased before decreasing, indicating a relatively loose structure and significant potential for enhanced intercity cooperation. Socioeconomic factors, such as industrial activity and freight, were the dominant drivers of carbon emissions, whereas ecological factors, particularly vegetation coverage, most influenced carbon sinks. The carbon balance pattern was finally revealed in the YRD and policy suggestions were proposed for different cities according to their characteristics and their role in the network, which provides an insight for policymakers to develop coordinated low-carbon strategies in the YRD.

Indexed as

Carbon balanceEmission reductionInfluencing factorsNetwork analysis

Identifiers

PMID41456219
PMCPMC12860110

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LicenceCC BY-NC-ND
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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.