Can industrial co-agglomeration improve carbon emission efficiency? Empirical evidence based on the eastern coastal areas of China

Bibliographic Data

ID23178586
AuthorsRalf Dahrendorf (Max Planck Society, corresponding author), Huaxue Zhao, Yu Cheng (0000-0002-3446-6971), Yan Liu (0000-0002-1612-779X)
Year2024
Volume31
Issue7
Pages10717-10736
Publication date2024-01-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Science and Pollution Research (JOURNAL)
Journal identifiersISSN: 0944-1344 • E-ISSN: 1614-7499
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11356-023-31626-x
OpenAlexW38200197
LanguageEN
Citations received2
References cited83

The goal of "carbon peak and carbon neutrality" is the key to coping with global warming and achieving high-quality development. Producer services and manufacturing co-agglomeration (Coagglo) is an important path to achieve low-carbon development. Therefore, the relationship between industrial co-agglomeration and carbon emission efficiency (CEE) needs to be discussed. Based on the panel data of 114 cities along the eastern coast of China from 2006 to 2021, this study uses a panel quantile regression model and dynamic spatial Durbin model to evaluate the impact and spatial effect of Coagglo on CEE. The results show that there is a nonlinear relationship between Coagglo and CEE. When it exceeds the 50th quantile, the degree of influence decreases slightly, but it still shows a significant positive correlation. When considering industry heterogeneity, we find that the co-agglomeration of warehousing and postal industry (TRA) and manufacturing has the most significant impact on CEE, while the co-agglomeration of leasing and commercial service industry (LEA) and manufacturing has the least impact on CEE. Regional heterogeneity shows that the Coagglo has a greater impact on carbon emission efficiency in the northern region than in the southern region. In addition, Coagglo promotes the spillover of knowledge and technology and has a positive spatial spillover effect on CEE. This conclusion provides a theoretical reference for carbon emission reduction in eastern coastal areas of China.

Political science · Philosophy · Reformation and Early Modern Christianity

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