Evidence map›Paper›PMID 33238775›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Economic, Social, Medical, Work Injury, and Environmental Efficiency Assessments.

Zhong Fang, Yung-Ho Chiu, Tai-Yu Lin, Tzu-Han Chang

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

4 authors.

Zhong FangFujian Normal University, Fuzhou, Fujian, P.R. China.
Yung-Ho ChiuSoochow University, Taipei.ORCID 0000-0002-9702-2892
Tai-Yu LinNational Cheng Kung University, Tainan City.ORCID 0000-0002-6000-4375
Tzu-Han ChangSoochow University, Taipei.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving the management efficiency of industrial accidents is significant for stabilizing social order and improving production efficiency. Although many previous studies have discussed the impact of work injury on different occupations from the work safety and health perspectives, few have jointly discussed economic, social, medical, and environmental pollution issues, and those that do mostly employ static models, failing to take into account welfare factors and environmental pollution issues that affect society. Therefore, in order to understand the dynamic evolution trend between social and economic activities and environmental issues, this study utilizes a modified undesirable two-stage dynamic exogenous data envelopment analysis (DEA) model to explore the economic, social, medical, and environmental efficiencies of 30 provinces in China to fill the gap in the literature. In terms of work injury insurance expenditure efficiency, the results show that the air quality index (AQI) impacts the ranking of China's 30 provincial regions, with Fujian, Ningxia, Qinghai, Shandong, Tianjin, and Xinjiang being greatly affected. AQI significantly influences overall factor efficiency, rescue invalid deaths, and the work-related injuries in the various regions. AQI also has a relatively small effect on the efficiency of work injury insurance benefits. Based on this, we offer suggestions for policy makers to evaluate the social benefits of environmental governance and the efficiency of human capital.

Indexed as

Conservation of Natural ResourcesEnvironmental PolicyChinaEconomic DevelopmentEfficiencyHumansair pollutionenvironmental efficiencyindustrial injurymedical treatmenttwo-stage dynamic exogenous DEA model

Identifiers

PMID33238775
PMCPMC7705393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.