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Research on the spatial distribution and influencing factors of the maritime services: based on data from Chinese enterprises

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  • Jiewei Li
  • Yanling Zhi

Abstract

In the context of global maritime cluster development and the strategic evolution of port cities, the spatial distribution and determinants of Maritime Services (MSs) emerge as pivotal areas of inquiry. However, empirical analysis in this domain remains limited. To address this deficiency, our study meticulously processes and analyses data from Chinese Maritime Service Enterprises (MSEs) listed in the World Shipping Register Company until 2023, categorizing these enterprises into port-related, ship-related and maritime consulting enterprises. Utilizing instrumental variables and econometrics, our findings reveal that MSs in China predominantly aggregate in coastal cities, along major inland waterways, and within inland central cities, with a pronounced clustering near urban centers. This distribution is primarily influenced by two factors: firstly, geographic proximity to seaports and throughput levels markedly impacts the distribution, especially for port-related enterprises and ship-related enterprises. Secondly, the clustering of downstream supporting industries, shared labor pools and knowledge spillovers, which are essential elements of agglomeration economics, particularly affects maritime consulting enterprises. Such a pattern is also influenced by the broader business environment and governmental governance. This research not only clarifies existing disputes regarding the maritime industry’s spatial distribution but also offers insights for MSs development and the transformative planning of port cities.

Suggested Citation

  • Jiewei Li & Yanling Zhi, 2025. "Research on the spatial distribution and influencing factors of the maritime services: based on data from Chinese enterprises," Maritime Policy & Management, Taylor & Francis Journals, vol. 52(6), pages 955-984, August.
  • Handle: RePEc:taf:marpmg:v:52:y:2025:i:6:p:955-984
    DOI: 10.1080/03088839.2024.2415055
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