Evidence map›Paper›PMID 42014489›Full record

ArticleScientific reports2026

Spatiotemporal pattern and influencing factors of agricultural green development in the Yellow River Basin: county evidence based on ESDA-MGWR.

Zhanheng Zhao, Huihan Liu, Qian Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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.

Zhanheng ZhaoSchool of Economics and Management, Zhengzhou University of Light Industry, Science Avenue 136, Zhengzhou, 450000, China.
Huihan LiuSchool of Economics and Management, Zhengzhou University of Light Industry, Science Avenue 136, Zhengzhou, 450000, China.
Qian ZhouSchool of Economics, Anhui University, Jiulong Road 111, Hefei, 230039, China. zhouqian200912@163.com.

Funding

Major projects of China Social Science Foundation 18VSJ036, 21ZDA115
6 · The paper itself

Abstract

The Yellow River Basin (YRB) is a crucial agricultural production area in China, and promoting the Agricultural Green Development (AGD) in this region is essential for consolidating ecological barriers, and advancing high-quality development. This study takes 561 districts and counties in the YRB as the research area, the Global Entropy Method (GEM) was used to measure the AGD level of each county from 2011 to 2022, while exploratory spatial data analysis (ESDA) was used to examine its spatio-temporal divergence. Subsequently, the multiscale geographically weighted regression (MGWR) model was applied to analyze the scale and spatial differences of the influencing factors. The results indicate the following: (1) From 2011 to 2022, AGD in the YRB shows an upward trend, though the overall level remains low, with the middle reaches exhibiting significantly higher AGD levels than the lower reaches. (2) There is clear spatial agglomeration of AGD levels in the YRB, with a larger number of H-H and L-L agglomerations compared to H-L and L-H agglomerations. AGD is primarily dominated by clusters of similar levels. (3) The spatial heterogeneity of the influencing factors is notable, with varying levels of impact. The influence of mean annual precipitation is relatively stable with minimal spatial variation, while factors such as industrial structure, industrialization level, relative level of public finance budget expenditures, population density, and terrain ruggedness index exhibit more significant spatial differences. The intensity of influence is ranked as follows: industrialization level > terrain ruggedness index > population density > industrial structure > relative level of public finance budget expenditures > mean annual precipitation.

Indexed as

Agricultural green development (AGD)Exploratory spatial data analysis (ESDA)Multiscale geographically weighted regression (MGWR)The Yellow River Basin (YRB)

Identifiers

PMID42014489
PMCPMC13270051

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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.