Evidence map›Paper›PMID 39026592›Full record

ArticleFrontiers in public health2024

Green credit policy and residents' health: quasi-natural experimental evidence from China.

Mengyu Wang, Yichun Wang, Bingnan Guo

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

3 authors.

Mengyu Wang *School of Humanities and Social Sciences, Jiangsu University of Science and Technology, Zhenjiang, China.
Yichun Wang *School of Humanities and Social Sciences, Jiangsu University of Science and Technology, Zhenjiang, China.
Bingnan GuoSchool of Humanities and Social Sciences, Jiangsu University of Science and Technology, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Residents' health plays an important role in economic prosperity and national development. Methods: The research analyzes data from 262 prefecture-level cities in China spanning the period from 2010 to 2021. Utilizing the implementation of green credit policy in China as a quasi-natural experiment, the paper employs the time-varying Differences-in- Differences (DID) model to evaluate the influence of green credit policy on residents' health. Results: The paper results show that: (1) the green credit policy significantly improves residents' health, and this conclusion still holds after a series of robustness tests. (2) Mechanism analysis reveals that the green credit policy affects residents' health through the improvements of the environment and the elevation of public services standards in demonstration cities. (3) Heterogeneity analysis shows that the impact of green credit policy on residents' health is more significant in the western cities and resource-based cities than in the central-eastern cities and non-resource-based cities. This paper explains the specific path and realization of green credit policy to enhance residents' health, which provides a reference for further designing and improving effective green credit policy. Discussion: The deficiencies within the green credit policy has resulted in limited improvements. It is recommended that China should broaden the ambit of the green credit policy and refine the criteria for its execution.

Indexed as

CitiesPolicyPublic HealthChinaEconomic DevelopmentHumansChinadifference-in-differences modelenvironmental pollutiongreen creditresidents’ health

Identifiers

PMID39026592
PMCPMC11255970

What OpenQuestion 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 OpenQuestion graph.