Evidence map›Paper›PMID 34360341›Full record

ArticleInternational journal of environmental research and public health2021

How Does Income Inequality Influence Environmental Regulation in the Context of Corruption? A Panel Threshold Analysis Based on Chinese Provincial Data.

Shi Wang, Wen Zhang, Hua Wang, Jue Wang, Mu-Jun Jiang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Globalization: Embracing global citizenship and the right to migrate.Journal of family medicine and primary care · 2024
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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

5 authors.

Shi WangSchool of Economics and Finance, Xi'an International Studies University, Xi'an 710128, China.ORCID 0000-0002-5024-8376
Wen ZhangSchool of Economics and Finance, Xi'an International Studies University, Xi'an 710128, China.
Hua WangSchool of Foreign Studies, Xi'an Jiaotong University, Xi'an 710049, China.
Jue WangInternational Business School, Shaanxi Normal University, Xi'an 710119, China.
Mu-Jun JiangSchool of Foreign Studies, Xi'an Jiaotong University, Xi'an 710049, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The question of how the income inequality of residents affects the level of environmental regulation in the context of official corruption was the core research issue of this study. We analyzed this problem using the panel threshold regression model from 26 provinces in China from 1995 to 2017. We found that when there is no official corruption, the widening of the residents' income inequality promotes stricter environmental regulations; when the corruption problem is serious, the expansion of the residents' income inequality leads to the decline in environmental standards; that is, the impact of residents' income inequality on environmental regulation has a threshold effect due to corruption. In addition, the threshold effect due to corruption of all residents' income inequality on environmental regulation is mainly generated by the urban residents' income inequality and the urban-rural income inequality. This paper contributes to the literature that concentrates on the relationship between income inequality and environmental regulation, and shows that corruption is a key factor that can deeply influence that relationship. The research conclusion shows that increasing anti-corruption efforts can not only maintain national political stability, social fairness, and justice, but also be a powerful measure for environmental pollution governance.

Indexed as

Environmental PollutionIncomeChinaHumansRural PopulationSocial JusticeSocioeconomic Factorscorruptionenvironmental regulationincome inequalitythreshold effects

Identifiers

PMID34360341
PMCPMC8345688

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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.