Evidence map›Paper›PMID 36441787›Full record

ArticlePloS one2022

The measurement, sources of variation, and factors influencing the coupled and coordinated development of rural revitalization and digital economy in China.

Meng Du, Yanshun Huang, Hai Dong, Xiangjun Zhou, Yipan Wang

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

5 authors.

Meng DuDepartment of Finance, Shandong Technology and Business University, Yantai, Shandong, China.
Yanshun HuangDepartment of Finance, Shandong Technology and Business University, Yantai, Shandong, China.
Hai DongSchool of Investment and Construction Management, Dongbei University of Finance and Economics, Dalian, Liaoning, China.
Xiangjun ZhouSchool of Business, Wenzhou University, Wenzhou, Zhejiang, China.ORCID 0000-0003-4536-9103
Yipan WangDepartment of Finance, Shandong Technology and Business University, Yantai, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An evaluation index system for the coupled and coordinated development of China's digital economy and rural revitalization, including a total of 46 indicators for the digital economy and rural revitalization subsystems, was constructed and combined with the entropy weight method, the coupling coordination degree model, Zhou's constraint identification index, the Dagum Gini coefficient decomposition method, and the panel spatial econometric model to analyze the level of coupled and coordinated development of China's digital economy and rural revitalization. The results found that: (1) the coupling and coordination between the two have gradually improved. The constraints of the digital economy on rural revitalization were gradually alleviated from 2011 to 2015, but after the 19th Party Congress, the development trend of rural revitalization has significantly outstripped the digital economy. (2) the spatial differences in the degree of coupling and coordination between the two are dominated by inter-regional differences and show significant spatial convergence and spatial correlation. Differentiated digital economy development strategies and more radiation in polarized areas are important for reducing regional differences in the level of coupling and coordination between the digital economy and rural revitalization. This will help China's digital countryside grow more efficiently.

Indexed as

Economic DevelopmentEnvironmentChinaEntropyModels, Econometric

Identifiers

PMID36441787
PMCPMC9704645

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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.