Impacts of logistics agglomeration on carbon emissions in China: a spatial econometric analysis.
Carbon emissions
Industry agglomeration
Logistics agglomeration
SDM
Spatial spillover
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 2023
Aug 2023
Historique:
received:
16
12
2022
accepted:
27
04
2023
medline:
9
8
2023
pubmed:
7
7
2023
entrez:
7
7
2023
Statut:
ppublish
Résumé
Logistics industry relies heavily on fossil fuels and has drawn significant attention for its environmental impact. With a focus on the effect of logistics agglomeration, this paper examines the spatial spillover effects of the Chinese logistics industry on carbon emissions by using the spatial Durbin model based on panel data of 30 Chinese provinces from 2000 to 2019. The results indicate that the logistics agglomeration can positively influence emission reduction in both local and surrounding areas. Additionally, the environmental externalities from transportation structure and logistics scale are estimated; it finds that the scale of logistics also plays a significant role on carbon emissions. As to the heterogeneity of regions, the logistics agglomeration of the eastern area has positive externalities on carbon reduction, and the total spatial spillover effects on environmental pollution in the eastern area are much stronger than western area. The research findings indicate the potential benefits of promoting logistics agglomeration to reduce carbon emissions in China and can provide policy recommendations for green logistics reform and emission governance.
Identifiants
pubmed: 37418183
doi: 10.1007/s11356-023-27358-7
pii: 10.1007/s11356-023-27358-7
doi:
Substances chimiques
Carbon
7440-44-0
Carbon Dioxide
142M471B3J
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
87087-87101Subventions
Organisme : Nanjing University of Posts and Telecommunications
ID : No. NY220173
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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