Evidence map›Paper›PMID 32557055›Full record

ArticleEnvironmental science and pollution research international2020

The effect of environmental regulation intensity deviation on China's inclusive growth.

Tao Ge, Jinye Li

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
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

6 citing papers in PubMed, 28 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Tao GeSchool of Economics and Management, Xinjiang University, Urumqi, 830046, China. gt_1925958038@163.com.ORCID http://orcid.org/0000-0002-2105-5452
Jinye LiSchool of Economics and Management, Xinjiang University, Urumqi, 830046, China. lijinyexd@sina.com.
Xinjiang University · CN

Funding

Ministry of Education Key Projects of Philosophy and Social Sciences Research 17JZD033National Natural Science Foundation of China 71964032Silk Road Project of Xinjiang University JGSL18001
6 · The paper itself

Abstract

This is the first attempt to explore the impact of environmental regulation intensity deviation on inclusive growth. An analysis framework in which the deviation between actual intensity and optimal intensity affects inclusive growth is constructed. Based on this analytical framework, this study uses panel data from 281 prefecture-level cities in China during the period 2004-2016 to investigate environmental regulation intensity deviation, as well as the feature, heterogeneity, and mechanisms of environmental regulation intensity deviation affecting inclusive growth. The empirical findings show that (i) environmental regulation has an inverted U-shaped effect on inclusive growth, but the actual intensity of environmental regulation in China is lower than the optimal intensity, which makes it difficult to give full play to its incentive role on inclusive growth; (ii) further grouping tests show that environmental regulation intensity deviation will inhibit inclusive growth within regions but promote inclusive growth between regions due to the difference in deviation; (iii) technological innovation, industrial transformation, and foreign investment have a partial mediating effect, which may be important mechanisms for environmental regulation intensity deviation to restrain inclusive growth; and (iv) the robustness test of informal environmental regulation supports the findings of formal environmental regulation and finds that the deviation of informal environmental regulation is more severe than that of formal environmental regulation. The empirical findings therefore suggest that policymakers should scientifically improve the environmental regulation intensity and optimize the environmental regulatory structure.

Indexed as

IndustryInvestmentsChinaCitiesInventionsEnvironmental regulation intensity deviationInclusive growthMediating effect modelOptimal intensity

Identifiers

PMID32557055
OpenAlexW3035919685

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.