Evidence map›Paper›PMID 40155661›Full record

ArticleScientific reports2025

The coupling relationship and driving mechanism between ecological environment and high-quality economic development in the Middle Yellow River Basin.

Shuo Yang, Zhongwu Zhang, Jinyuan Zhang, Xue Bai, FanFan Hu, Kunwei Zhang, Shiyu Wang

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. 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

7 authors.

Shuo YangCollege of Geographic Science, Shanxi Normal University, Taiyuan, 030031, China.
Zhongwu ZhangCollege of Geographic Science, Shanxi Normal University, Taiyuan, 030031, China. zhangzw@sxnu.edu.cn.
Jinyuan ZhangSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Xue BaiCollege of Geographic Science, Shanxi Normal University, Taiyuan, 030031, China.
FanFan HuCollege of Geographic Science, Shanxi Normal University, Taiyuan, 030031, China.
Kunwei ZhangCollege of Geographic Science, Shanxi Normal University, Taiyuan, 030031, China.
Shiyu WangCollege of Geographic Science, Shanxi Normal University, Taiyuan, 030031, China.

Funding

Report of Shanxi Provincial Department of Education on Organizing the Application for the Innovation Project of Postgraduate Education in 2024 2024KY462Shanxi Normal University Graduate " Course Ideology and Politics " Demonstration Course Construction Project 2022YJSKCSZSFK-07Shanxi Province Graduate Research Practice Innovation Project 2023KY465
6 · The paper itself

Abstract

Promoting the dynamic balance between economic development and ecological environment is key to achieving the "dual carbon" goals and sustainable development. The Middle Yellow River Basin, characterized by severe soil erosion and intensive resource utilization, serve as a critical area for advancing ecological protection and high-quality development in the Yellow River Basin. This study examines the spatial-temporal differentiation and coupling coordination characteristics of the ecological environment (EE) and high-quality economic development (HQED) across 226 counties in the Middle Yellow River Basin from 2010 to 2020. Utilizing the Random Forest model and the Geographical and Temporal Weighted Regression model, the study investigates the driving mechanism of high-quality economic development on ecological environment. The zoning management strategy is proposed based on the types of coupling coordination and the dominant driving factors, with the aim of providing theoretical support for sustainable development in the river basins. The results show that: (1) During the study period, the level of ecological environment initially declined and then improved, while high-quality economic development consistently increased. The EE exhibited a spatial pattern of "southeast low, northwest high," while the distribution pattern of HQED was the reverse. (2) The coupling coordination degree considerably increased after 2015, displaying the spatial pattern characterized by higher levels in the southeast and northwest and lower levels in the central region, with the strong spatial positive correlation. (3) Forest cover rate, PM2.5 concentration, agricultural fertilizer application intensity, and market activity make high contributions to the ecological environment, making them key drivers. Forest cover rate is the strongest positive driver, while PM2.5 concentration is the strongest negative driver. There are evident spatial distribution differences among the various driving factors. Ultimately, the study area is divided into six types of zones, and corresponding development strategies is proposed.

Indexed as

Coupling relationshipDriving mechanismEcological environmentHigh-quality economic developmentMiddle Yellow River Basin

Identifiers

PMID40155661
PMCPMC11953260

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.