Evidence map›Paper›PMID 39732763›Full record

ArticleScientific reports2024

Assessment of coupling coordinated degree and driving mechanism of population-resource-environment-economy (PREE) system in Yellow River Basin, China.

Xin Xiang, Yi Xiao, Yongxiang Chen, Huan Huang

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

4 authors.

Xin XiangCollege of Management Science, Chengdu University of Technology, Chengdu, 610059, Sichuan, China.
Yi XiaoBusiness School, Chengdu University of Technology, Chengdu, 610059, Sichuan, China. xiaoyi@cdut.edu.cn.
Yongxiang ChenCollege of Geography and Planning, Chengdu University of Technology, Chengdu, 610059, Sichuan, China.
Huan HuangBusiness School, Chengdu University of Technology, Chengdu, 610059, Sichuan, China. huan77@126.com.

Funding

Natural Science Foundation of Sichuan Province 2024NSFSC0859
6 · The paper itself

Abstract

Rapid urbanization and industrialization in China have brought economic growth and improved living standards, while environmental degradation and resource overexploitation occurred simultaneously. Yellow River Basin (YRB) also faces priorities of ecological protection and high-quality development. Therefore, it is essential for YRB to coordinate the relationship between socioeconomic and eco-environment. This study constructed a population-resource-environment-economy (PREE) system to evaluate basin sustainable development from 2011 to 2021, along with the entropy-TOPSIS method, coupling coordination degree model (CCDM), spatial autocorrelation method, Kernel density estimation, and GeoDetector model, to analyze the spatiotemporal distribution, spatial agglomeration characteristics, evolutionary trends, and driving mechanism. The results revealed that: (1) CCD in the YRB was at a medium level with an upward trend, while subsystems showed clear differences. (2) CCD's geographical distribution exhibited a clustering feature, with high value concentrating downstream and low value concentrating upstream. (3) Evolutionary trends illustrated the differences in basin location and resource dependency. (4) Population density, green innovation level, and openness were the dominant driving factors of the PREE system. Relevant policies were proposed to manage and coordinate the human-nature relationship.

Indexed as

Coupling coordination degreeDriving mechanismPopulation-resource-environment-economy (PREE) systemYellow River Basin

Identifiers

PMID39732763
PMCPMC11682326

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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.