Evidence map›Paper›PMID 39234086›Full record

ArticleFrontiers in public health2024

The impact of environmental protection tax on the health of middle-aged and older adults: evidence from CHARLS data in China.

Hao Wang, Ruifan Zhou, Haohan Luo, Shanwen Liang, Youzhuan Kong

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. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Hao WangChina School of Banking and Finance, University of International Business and Economics, Beijing, China.
Ruifan ZhouFaculty of Economics, China Sichuan Administration Institute, Chengdu, China.
Haohan LuoBusiness School, Chengdu University of Technology, Chengdu, China.
Shanwen LiangCntic-Vpower Business Department, China National Technical Import and Export Corp., Beijing, China.
Youzhuan KongSchool of History, Geography and Tourism, Chengdu Normal University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: With the aging population, the relationship between human health and the ecological environment has gained increasing attention. In China, it is imperative to evaluate the policy effects of the Environmental Protection Tax (EPT) on improving the ecological environment and enhancing the health of middle-aged and older adult people. Methods: This study, based on data from the China Health and Retirement Longitudinal Study (CHARLS), employs a Difference-in-Differences (DID) model to assess the health effects of the EPT policy. Results: The findings indicate that the EPT policy significantly improves the health of middle-aged and older adult individuals and reduces the prevalence of chronic diseases. The EPT policy affects the health of middle-aged and older adult through two main mechanisms: emission reduction and psychological effects. These are evidenced by reductions in PM10 particle concentration and sulfur dioxide emissions, improvements in public sleep quality and memory, and significant changes in environmental awareness and concern. Discussion: Heterogeneity analysis reveals differences across urban and rural areas, age groups, and education levels. Following the implementation of the EPT policy, there are notable improvements in reduction of chronic diseases among rural residents, self-rated health among urban residents, and overall health among the older adult and individuals with a junior high school education or lower. The study's results confirm the importance of environmental policies in promoting public health, providing a reference for the refinement of the EPT system, and offering insights for environmental pollution control in developing countries.

Indexed as

TaxesAgedChinaChronic DiseaseFemaleHealth StatusHumansLongitudinal StudiesMaleMiddle AgedRural Populationdifference-in-differences modelecological environmentenvironmental protection taxpolicy evaluationpublic health

Identifiers

PMID39234086
PMCPMC11371784

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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.