The impact of environmental regulations on the location choice of newly built polluting firms: based on the perspective of new economic geography.

Environmental regulations Location choice New economic geography Newly built polluting firms

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:
Aug 2022
Historique:
received: 03 09 2021
accepted: 24 03 2022
pubmed: 10 4 2022
medline: 26 8 2022
entrez: 9 4 2022
Statut: ppublish

Résumé

Based on the unique micro-data of newly built polluting firms for the period of 2009-2018, this paper adopts the conditional logit model to empirically evaluate the impact of environmental regulations on the location choice of polluting firms. Moreover, we extend the theoretical model by considering that the environment regulations not only influence the pollution cost but also the level of technological innovation and labor cost. The empirical results show that polluting firms tend to flow into areas with stringent environmental regulations, which supports the Porter hypothesis, but the effect of environmental regulations have a divergent impact on heavily polluting firms. Heterogeneous analysis indicates that environmental regulations have shown a positive impact on the location choice of private and foreign-funded firms but no significant impact on that of state-owned firms; the impact of environmental regulation is consistent with pollution haven hypothesis for firms in the central region but is in line with Porter hypothesis for firms in other regions. Meanwhile, the probability of air polluting firms entering areas with stricter environmental regulations is higher than that of water-polluting ones. Finally, this paper further empirically tests the conduction mechanism, that is, environmental regulations can affect the location choice of polluting firms by affecting the regional technological innovation capabilities and labor cost.

Identifiants

pubmed: 35396677
doi: 10.1007/s11356-022-19956-8
pii: 10.1007/s11356-022-19956-8
pmc: PMC9399056
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

59802-59815

Subventions

Organisme : National Natural Science Foundation of China
ID : 71772113
Organisme : the National Natural Science Foundation of China
ID : 71803123

Informations de copyright

© 2022. The Author(s).

Références

Sci Total Environ. 2019 Jan 1;646:862-871
pubmed: 30064112
J Environ Manage. 2019 Oct 15;248:109248
pubmed: 31310939

Auteurs

Na Peng (N)

School of Urban and Regional Science, Shanghai University of Finance and Economics, Shanghai, 200433, China. 2567232698@qq.com.

Xiangjian Zhang (X)

School of Urban and Regional Science, Shanghai University of Finance and Economics, Shanghai, 200433, China.

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