Cluster Identification and Economic Effects of Symbiotic Patterns in China’s Logistics Industry

本文基于共生理论，系统构建了包含共生单元、共生接口、共生模式与共生环境的物流业共生分析框架，旨在深入探讨现代物流业与关联产业间的复杂共生关系。运用2023年中国31个省级行政区的截面数据，通过K-Means聚类算法对物流业与制造业、商贸业等关键产业的共生状态进行实证识别。研究发现，我国物流业共生模式可归纳为经济引领型、高端服务型、转型发展型与资源依赖型四类典型范式，其空间分布格局清晰映射了区域经济发展的梯度差异。本研究结果为优化物流业空间布局、完善产业共生接口及提升政策适配性提供了理论支撑，并建议从制定差异化区域策略、构建跨产业协同机制、优化制度环境等维度，推动物流业与国民经济的深度协同与可持续发展。Based on the symbiosis theory, this paper systematically constructs a symbiosis analysis framework for the logistics industry containing symbiosis units, symbiosis interfaces, symbiosis patterns and symbiosis environments, aiming to explore the complex symbiotic relationship between the modern logistics industry and related industries in depth. Using the cross-section data of 31 provincial-level administrative regions in China in 2023, the symbiosis status of the logistics industry with manufacturing, commerce and trade and other key industries is empirically identified by the K-Means clustering algorithm. The research finds that the symbiosis patterns of China’s logistics industry can be categorized into four typical paradigms, namely, economy-led, high-end service, transformation and development, and resource-dependent, and their spatial distribution patterns clearly map the gradient differences in regional economic development. The results of this research provide theoretical support for optimization of the spatial layout of the logistics industry, improvement of the industrial symbiosis interface, and enhancement of policy suitability, and suggest that differentiated regional strategies, cross-industry synergistic mechanisms, and optimization of the institutional environment should be developed to promote the deep synergy and sustainable development of the logistics industry and the national economy.