Evidence map›Paper›PMID 36148346›Full record

ArticleFrontiers in public health2022

Assessing the impact of governance and health expenditures on carbon emissions in China: Role of environmental regulation.

Yue Wang, Mengjie Liu, Shan Wang, Xiuping Cui, Lei Hao, HaSiBa Gen

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. 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

6 authors.

Yue WangSchool of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot, China.
Mengjie LiuSchool of Economics and Management, Beijing Forestry University, Beijing, China.
Shan WangSchool of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot, China.
Xiuping CuiSchool of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot, China.
Lei HaoSchool of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot, China.
HaSiBa GenSchool of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study tries to summarize the leading factors and their behavior toward the environmental quality. Therefore, this study investigates the environment-development linkage in China's economy covering the period of 1984-2018. In order to investigate the proposed objectives, the current study uses the dynamic ordinary least square, fully modified ordinary least square and canonical co-integration regression with granger causality test. The results reveal that there exists an inverted U-shaped relationship in China's economy. Likewise, urbanization positively contributes to environmental deterioration. Furthermore, the health expenditures also cause to deteriorate the environmental quality. In contrast, there exists the negative association between good governance and carbon emissions, while the rule of law in China's economy does not secure the environmental quality. Therefore, environmental regulation policies need to be revised in order to achieve a sustainable environment. As a result, we recommend that China continue to expand its economy and invest in health care and environmental initiatives.

Indexed as

CarbonHealth ExpendituresCarbon DioxideChinaUrbanizationCarbonCarbon DioxideChinagovernancehealth expendituresincomerule of law

Identifiers

PMID36148346
PMCPMC9485891

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.