Evidence map›Paper›PMID 41526578›Full record

ArticleScientific reports2026

Evaluation of the coupled coordination of digital village, green agriculture and farmers' well-being in China.

Chunlin Xiong, Xirong Zhou, Fen Liu

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.

0numbers the graph read from it
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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.

Chunlin XiongCollege of Public Administration and Law, Hunan Agricultural University, Changsha, 410128, China.
Xirong ZhouCollege of Public Administration and Law, Hunan Agricultural University, Changsha, 410128, China.
Fen LiuOrient Science & Technology College, Hunan Agricultural University, Changsha, 410128, China. Lf25808@126.com.

Funding

The "Academic Hunan" Quality Cultivation Project of the Hunan Social Science Foundation of China 23ZDAJ010The key project of the Changsha Soft Science Research Plan kh2502003The key project of the National Social Science Foundation of China 24AZZ010
6 · The paper itself

Abstract

Digital village, green agriculture, and farmers’ well-being are three subsystems of the current giant system of rural social development in China, and their coupled and coordinated development serves as a crucial prerequisite for promoting the comprehensive revitalization of China’s rural areas and the modernization of agriculture and rural areas. Drawing on the complex adaptive system theory, this paper establishes a coupling coordination degree analysis model for the digital village-green agriculture-farmers’ well-being system and develops an evaluation index system for these three subsystems. Based on panel data from 30 Chinese provinces spanning 2011 to 2021, this study constructs an evaluation index system for Digital Village, green agriculture, and farmers’ well-being. Employing the entropy weight method, coupling coordination degree model, convergence coefficient, Theil index, and Moran index, it analyzes the comprehensive development level of each system, along with the convergence effects, regional disparities, and spatial characteristics of their coupled and coordinated development. The findings indicate: (1) The comprehensive development level index values of the three subsystems are on the rise, and their coupling degree, coordination degree, and coupling coordination degree are generally improving, achieving a transformation from moderate imbalance to intermediate coordination. (2) The coordinated development of the coupling among the three systems exhibits clear convergence characteristics. (3) The coordinated development of coupling demonstrates significant regional disparities, with intra-regional differences being the primary source. Over time, the Yellow River Basin has contributed the most to overall disparities. (4) The coordinated development of the coupling among the three systems shows significant spatial autocorrelation, with increasing autocorrelation intensity. Notably, the lower reaches of the Yangtze River Economic Belt and the middle and lower reaches of the Yellow River Basin are high-value agglomeration areas for coupling coordinated development.

Indexed as

AgricultureFarmersChinaHumansRural PopulationCoupling coordinationDigital villageFarmers’ well-beingGreen agricultureRegional disparitiesSpatial correlation

Identifiers

PMID41526578
PMCPMC12877157

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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.