| 摘要: |
| 文章聚焦环渤海港口群，基于陆海统筹与区域协同理论，运用比较分析方法，深入分析了 该区域产业布局的现状和发展特征。研究发现，环渤海港口群存在产业重合度高和海域空间利用 效率低等问题。针对上述问题，文章构建了涵盖“目标、原则、定位”三维优化体系，论证了三 者之间的协同作用机制，并提出差异化分工、海域空间迭代开发和港城岸线共享等对策。同时， 明确了陆海统筹与区域协同理论指导对策设计的具体逻辑，旨在提升环渤海港口群的整体竞争 力，推动其从“货物通道”向“经济走廊”转型升级，为陆海统筹背景下区域港口协同发展提供 理论参考。 |
| 关键词: 环渤海港口群 产业布局 陆海统筹 优化路径 |
| DOI：10.20016/j.cnki.hykfygl.2026.04.004 |
| 投稿时间：2025-11-04修订日期：2026-01-27 |
| 基金项目:自然资源部北海局海洋科技项目（202508）． |
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| Systemic Dilemmas and Collaborative Optimization Paths of the Industrial Layout of the Bohai Rim Port Cluster From the Perspective of Land-Sea Coordination |
| GAO Kun，HAN Yu，DU Guangxun，LIU Guochong1，GU Bei1，ZHAO Yuhui |
| North China Sea Development Research Center，MNR;Tianjin General Institute of Urban Planning，Design and Research Co.，Ltd. |
| Abstract: |
| The article focuses on the Bohai Rim Port Cluster，employing a comparative analysis approach based on the theory of land-sea coordination and regional coordination to thoroughly examine the current industrial layout and development characteristics of this region．The study reveals that the Bohai Rim Port Cluster faces issues such as high industrial overlap and low efficiency in marine spatial utilization．To address these challenges， a three-dimensional optimization system comprising objectives，principles，and positioning is proposed． The synergistic mechanisms of these three dimensions are demonstrated，and countermeasures such as differentiated division of labor，iterative marine spatial development，and shared port-city shoreline utilization are put forward．The specific logic of guiding strategy design under the theories of land-sea coordination and regional coordination theory is clarified，aiming to enhance the overall competitiveness of the Bohai Rim Port Cluster and advance its transformation from a“cargo corridor”to an“economic corridor．” This study provides theoretical references for the coordinated development of regional ports under the land- sea coordination framework． |
| Key words: Bohai Rim Port Cluster Industrial layout Land-sea coordination Optimization paths |
