The effect of environmental regulation intensity deviation on China's inclusive growth.
Environmental regulation intensity deviation
Inclusive growth
Mediating effect model
Optimal intensity
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
received:
11
02
2020
accepted:
01
06
2020
pubmed:
20
6
2020
medline:
20
8
2020
entrez:
20
6
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32557055
doi: 10.1007/s11356-020-09574-7
pii: 10.1007/s11356-020-09574-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
34158-34171Subventions
Organisme : National Natural Science Foundation of China
ID : 71964032
Organisme : Ministry of Education Key Projects of Philosophy and Social Sciences Research
ID : 17JZD033
Organisme : Silk Road Project of Xinjiang University
ID : JGSL18001
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