Author
Listed:
- Yuxian Feng
(School of Economics and Finance, Hohai University, Changzhou 213200, China)
- Ruowei Mou
(School of Economics and Finance, Hohai University, Changzhou 213200, China)
- Linhong Jin
(School of Business, Hohai University, Changzhou 213200, China)
- Xiaohong Na
(School of Economics and Finance, Hohai University, Changzhou 213200, China)
- Yanan Wang
(School of Economics and Finance, Hohai University, Changzhou 213200, China)
Abstract
Megacity clusters are the key battlegrounds for carbon emission reduction in China, and the polycentric spatial structure of these clusters has a profound impact on their carbon emission intensity. This paper focuses on five major megacity clusters: the Beijing–Tianjin–Hebei (BTH), Yangtze River Delta (YRD), Pearl River Delta (PRD), the middle reaches of the Yangtze River (MRYR), and the Chengdu–Chongqing (CY) City Clusters. We construct an inter-period panel dataset spanning from 2002 to 2023 and utilize an index of polycentric spatial structure, which equally considers both morphology and functionality. A fixed-effects model is employed, and the Lind–Mehlum U-shape test is applied to identify the nonlinear relationship. Additionally, a two-step approach is used to examine the mediating effect of industrial agglomeration, while interaction terms help identify the moderating effects of technological innovation and transport infrastructure. The results indicate a significant U-shaped relationship between the polycentric structure of megacity clusters and carbon emission intensity. When the polycentric spatial structure index reaches a specific threshold, carbon emission intensity is minimized, suggesting that a moderate degree of polycentricity is most conducive to carbon reduction. Mechanism analysis reveals that industrial agglomeration functions as a significant mediator, whereas technological innovation and transport infrastructure serve as critical moderators in this relationship. Based on these findings, we propose several policy recommendations: to guide the moderate adjustment of the polycentric structure of city clusters with stage-specific targets, optimize the mechanism of industrial synergy and transfer, differentiate the allocation of innovation resources, and achieve a fine-tuned alignment between the transport system and spatial structure. These measures will support the high-quality, low-carbon transformation of city clusters.
Suggested Citation
Yuxian Feng & Ruowei Mou & Linhong Jin & Xiaohong Na & Yanan Wang, 2026.
"Impacts of Polycentric Spatial Structure of Chinese Megacity Clusters on Their Carbon Emission Intensity,"
Sustainability, MDPI, vol. 18(3), pages 1-29, January.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:3:p:1146-:d:1846941
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