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ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Environmental Economics and Management
Volume 12 - 2024 |
doi: 10.3389/fenvs.2024.1492866
This article is part of the Research Topic Climate Change and Urban Resilience - Volume II View all articles
How does manufacturing agglomeration affect urban ecological resilience? Evidence from the Yangtze River Delta region of China
Provisionally accepted- Shanxi University of Finance and Economics, Taiyuan, China
As rapid urbanization challenges urban ecosystem stability, understanding the relationship between manufacturing agglomeration (MA) and urban ecological resilience (UER) has become increasingly critical. This study examines how MA influences UER in China's Yangtze River Delta region, employing dynamic spatial panel models to analyze prefecture-level panel data from 2003 to 2020. Our findings reveal an inverted U-shaped relationship between MA and UER, with significant spatial spillover effects. Specifically, moderate levels of MA enhance UER through improved resource efficiency and technological innovation, while excessive agglomeration leads to environmental degradation. The study also identifies green technological innovation as a critical mediating mechanism in this relationship. These findings contribute to theoretical understanding and policy formulation for sustainable urban development.
Keywords: Manufacturing agglomeration, urban ecological resilience, Urban sustainable development, Green technology innovation, spatial measurement models
Received: 08 Sep 2024; Accepted: 03 Dec 2024.
Copyright: © 2024 WANG. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
CHEN WANG, Shanxi University of Finance and Economics, Taiyuan, China
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