Evidence map›Paper›PMID 27992449›Full record

ArticlePloS one2016

Using a Mixed Model to Explore Evaluation Criteria for Bank Supervision: A Banking Supervision Law Perspective.

Sang-Bing Tsai, Kuan-Yu Chen, Hongrui Zhao, Yu-Min Wei, Cheng-Kuang Wang, Yuxiang Zheng, Li-Chung Chang, Jiangtao Wang

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. An Empirical Study on Low-Carbon: Human Resources Performance Evaluation.International journal of environmental research and public health · 2018
    Article
  2. The Development Evaluation of Economic Zones in China.International journal of environmental research and public health · 2018
    Article
  3. Article
  4. Article
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

8 authors.

Sang-Bing TsaiSchool of Economics & Management, Shanghai Maritime University, Shanghai, China.
Kuan-Yu ChenBusiness School, Nankai University, Tianjin, China.
Hongrui ZhaoBusiness School, Nankai University, Tianjin, China.
Yu-Min WeiCollege of Tourism and Service Management, Nankai University, Tianjin, China.
Cheng-Kuang WangLaw School, Nankai University, Tianjin, China.
Yuxiang ZhengSchool of Economics & Management, Shanghai Maritime University, Shanghai, China.
Li-Chung ChangZhongshan Institute, University of Electronic Science and Technology of China, Guangdong, China.
Jiangtao WangZhongshan Institute, University of Electronic Science and Technology of China, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Financial supervision means that monetary authorities have the power to supervise and manage financial institutions according to laws. Monetary authorities have this power because of the requirements of improving financial services, protecting the rights of depositors, adapting to industrial development, ensuring financial fair trade, and maintaining stable financial order. To establish evaluation criteria for bank supervision in China, this study integrated fuzzy theory and the decision making trial and evaluation laboratory (DEMATEL) and proposes a fuzzy-DEMATEL model. First, fuzzy theory was applied to examine bank supervision criteria and analyze fuzzy semantics. Second, the fuzzy-DEMATEL model was used to calculate the degree to which financial supervision criteria mutually influenced one another and their causal relationship. Finally, an evaluation criteria model for evaluating bank and financial supervision was established.

Indexed as

ChinaDecision MakingFinancial ManagementFuzzy LogicHumansModels, Theoretical

Identifiers

PMID27992449
PMCPMC5167262

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.