Evidence map›Paper›PMID 32927833›Full record

ArticleInternational journal of environmental research and public health2020

The Impact of Public Health Insurance on Household Credit Availability in Rural China: Evidence from NRCMS.

Qing Yang, Qing Xu, Yufeng Lu, Jin Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. 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.

Qing YangSchool of Public Economics and Administration, Shanghai University of Finance and Economics, 777 Guoding Rd., Shanghai 200433, China.
Qing XuResearch Institute for Agriculture, Farmer and Rural Society in China, Shanghai University of Finance and Economics, 777 Guoding Rd., Shanghai 200433, China.
Yufeng LuInstitute of Finance & Economics, Shanghai University of Finance and Economics, 777 Guoding Rd., Shanghai 200433, China.
Jin LiuResearch Institute for Agriculture, Farmer and Rural Society in China, Shanghai University of Finance and Economics, 777 Guoding Rd., Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large body of literature has shown that the burden of healthcare can push individuals and households into the burden of medical care and income loss. This makes it difficult for rural or low-income households to obtain and use safe and affordable formal credit services. In 2003, China's government implemented a new rural public health insurance, which was called the New Rural Cooperative Medical Scheme (NRCMS). This study provides evidence of the impact of NRCMS on household credit availability using the China Family Panel Studies (CFPS) for 2010. The tobit regression approach and mediator model are used. The results show that, as a public health insurance system sustained by the participation of government investment, the NRCMS provides good "collateral" and significantly enhances rural households' formal credit availability level. Furthermore, this positive effect is mainly reflected in the economic effect of NRCMS. Our results are robust to alternative statistical methods. Our findings suggest that expanding access, fulfilling the NRCMS mortgage function, and providing more financial services for rural households would have big benefits with regard to easing credit constraints for rural residents.

Indexed as

Insurance, HealthRural Health ServicesRural PopulationChinaFamily CharacteristicsHumansIncomeChinacredit availabilityI18: G50JEL ClassificationsKeywordsNew Rural Cooperative Medical Scheme (NRCMS)O16public health insurance

Identifiers

PMID32927833
PMCPMC7559623

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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.