Evidence map›Paper›PMID 40241947›Full record

ArticleFrontiers in public health2025

Analysis of the efficiency and influencing factors of the urban and rural residents social endowment insurance in China: from the perspective of regional heterogeneity.

Aibi Dai, Yuanbo Hu, Henglang Xie, Wei Zhao, Burak Keskin

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

5 authors.

Aibi DaiSchool of Smart Health and Wellness, Zhejiang Dongfang Polytechnic, Wenzhou, China.
Yuanbo HuSchool of Digital Business, Zhejiang Dongfang Polytechnic, Wenzhou, China.
Henglang XieSchool of Business and Economics, Universiti Putra Malaysia, Serdang, Malaysia.
Wei ZhaoDepartment of High-tech Business and Entrepreneurship, Faculty of Behavioural, Management and Social Sciences, University of Twente, Enschede, Netherlands.
Burak KeskinFaculty of Economics and Administrative Sciences, Cankiri Karatekin University Uluyazi Campus, Cankiri, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: China's urban and rural residents social endowment insurance (URRSEI) plays a key role in ensuring the quality of life of the older adult and promoting social stability. Methods: Based on the data of 31 provinces in China from 2012 to 2022, this study evaluates the efficiency of URRSEI and analyzes its influencing factors through DEA method and Tobit Model. Results and discussion: The overall efficiency of China is high. Eastern region has the highest efficiency. The efficiency of central region is relatively stable. Western region has the lowest average efficiency. The level of local fiscal social security expenditure is negatively correlated with efficiency, while the increase of institutional maintenance rate and educational resources significantly improves the performance of URRSEI. The urban registered unemployment rate and the number of unemployment insurance recipients play a positive role in the security function.

Indexed as

Rural PopulationSocial SecurityUrban PopulationChinaFemaleHumansMaleUnemploymentDEA-Tobit modeloperational efficiencypopulation agingregional heterogeneityurban and rural residents social endowment insurance

Identifiers

PMID40241947
PMCPMC12000062

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.