Evidence map›Paper›PMID 41407753›Full record

ArticleScientific reports2025

Evaluation of synergistic and regulatory effects of carbon-reduction and water-saving in the Yangtze River Delta Urban Agglomeration.

Qian Wang, Shouqiang Xu, Zuqin Ding

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Qian WangSchool of Mathematics and Statistics, Huaiyin Normal University, No. 111 Changjiang West Road, Huaiyin District, Huaian, 223300, Jiangsu Province, China. wangqian5694@163.com.
Shouqiang XuNanjing Water Group Co., Ltd, Nanjing, 210000, Jiangsu Province, China.
Zuqin DingSchool of Mathematics and Statistics, Huaiyin Normal University, No. 111 Changjiang West Road, Huaiyin District, Huaian, 223300, Jiangsu Province, China.

Funding

Scientific Research Initiation Fund of Huaiyin Normal University No. 31WQ001
6 · The paper itself

Abstract

Realizing the synergistic effect of urban carbon-reduction and water-saving (CRWS) is of great significance for improving the urban carbon-water nexus and promoting urban sustainable development. From the perspective of the synergistic impact of intensive water resource utilization on carbon emissions, a theoretical framework is constructed. The relevant data on water resources and carbon emissions of the Yangtze River Delta Urban Agglomeration (YRDUA) from 2014 to 2023 are taken as the research objects for analysis. And a series of fixed effect models are adopted to evaluate the synergistic and regulatory effects of urban CRWS. Results show that the production water supply intensity has a positive impact on carbon emission intensity, while production water-saving intensity and ecological water intensity have negative impacts on carbon emission intensity in the YRDUA. Technical factors negatively regulate the synergy of carbon emission intensity and production water supply intensity. Structural factors negatively regulate the synergy between carbon emission intensity and water resource intensive utilization intensity. Technology, structure and scale factors have more significant effects on the synergistic effect of CRWS in areas with higher urban development level.

Indexed as

Carbon emission intensityCarbon-reduction and water-savingCarbon-water nexusSynergistic and regulatory effectsYangtze River Delta Urban Agglomeration

Identifiers

PMID41407753
PMCPMC12711907

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.