Unravelling the spatial agglomeration patterns and drivers of the maritime service industry in the Yangtze River Delta
Year: 2025
Type: article
Abstract: The maritime service industry serves as a critical catalyst for regional competitiveness and global supply chain integration. Despite its strategic importance, the micro-scale spatial agglomeration mechanisms of maritime service enterprises (MSEs) remain underexplored, particularly in rapidly evolving economic landscapes. Addressing this gap, this study investigates the spatiotemporal dynamics and determinants of MSE agglomeration in China's Yangtze River Delta (YRD), leveraging a dataset of 5968 MSEs classified into basic, auxiliary, and derivative services from 2000 to 2023. Results reveal a hierarchical pattern: Shanghai anchors high-value derivative services, while auxiliary and fundamental services decentralize to peripheries, shaped by economic, transportation, technological and financial factors. Spatial spillovers highlight interregional interdependence, requiring coordinated policies to balance specialization and synergy. The study advances maritime cluster analysis by developing a hierarchical analytical framework, unveils MSE agglomeration determinants and quantifies interregional spillovers. The research provides insights for adaptive governance, well-balanced and resilient development of maritime clusters.
Source: Journal of Transport Geography
Authors: Shun Chen, Xingjian Wang, Louise Lu Li, Qiang Zhang
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $2,990
Award: 有偏广义T分布下基于缓冲超越概率的套期保值有效边界研究
OpenAlex ID: W4416654264
