Evidence map›Paper›PMID 39732979›Full record

ArticleScientific reports2024

Sustainable rural development: differentiated paths to achieve rural revitalization with case of Western China.

Yuqing Geng, Xinlei Yang, Naiguang Zhang, Jianyi Li, Yan Yan

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. 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

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuqing GengSchool of Business, Shanghai Dianji University, Shanghai, China.
Xinlei YangSchool of Business, Shanghai Dianji University, Shanghai, China. yxlei0204@foxmail.com.
Naiguang ZhangSchool of Business, Shanghai Dianji University, Shanghai, China.
Jianyi LiNursing Department, Guizhou Nursing Vocational College, Guizhou, China.
Yan YanSchool of Business, Shanghai Dianji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rural Revitalization (RR) is a key national strategy in China aimed at sustainable rural development and has gained significant attention. Given the unique characteristics of different villages, understanding differentiated paths to achieve RR is essential. This study introduces a new "5I Framework" (INDUS-INHAB-INDOC-INFRA-INCOM) to assess RR's overall development status (ODS) and differentiated paths. Then, using western China as a case, this study employs entropy weight, the technique for order preference by similarity to an ideal solution (TOPSIS), fuzzy set qualitative comparative analysis (fsQCA), and hierarchical clustering to categorize differentiated RR paths into "4L Category" (Lots-Learning-Labor-Living). Context-specific recommendations are provided for each category. "5I" and "4L" are derived from their initial letters for easier recall and global dissemination. Our findings reveal ODS's temporal fluctuations between Acceptable and Good Grades (0.3 and 0.6), with Chongqing's villages showing a downward trend (from 0.439 to 0.407); the findings also reveal spatial differences in ODS, as northern villages generally score higher due to distinct characteristics. Seven differentiated paths to RR are identified, highlighting varying dimensions essential for RR success: INFRA is crucial across all high ODS paths, while INHAB and INDOC are not always central. Besides, these paths are grouped into four clusters via hierarchical clustering, indicating that RR can be achieved by integrating "lots" of aspects, enhancing "learning" and cultural status among residents, requiring villagers' "labor" to support agriculture, or improving the "living" environment. The clustered categories enhance the applicability of our proposed countermeasures in similar contexts. The "5I Framework" facilitates theoretical understanding and evaluation of RR, while the "4L Category" underpinned by the "5I Framework" promotes effective implementation practices-both representing innovations of this study.

Indexed as

Rural PopulationSustainable DevelopmentChinaHumansChinaPathRural developmentRural revitalizationSustainability

Identifiers

PMID39732979
PMCPMC11682378

What Socratic holds

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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 Socratic graph.