碳排放约束下海洋经济效率空间关联网络及影响因素研究
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中图分类号：F124.5；X196；P74 文献标志码：A 文章编号：1005-9857（2025）12-0122-14
Research on the Spatial Correlation Network and Influencing Factors ofMarine Economic Efficiency Under Carbon Emission Constraints
REN Xianling，WANG Yiqian （School of Economics，OceanUniversityofChina，Qingdao ，China）
Abstract：With the advancement of the“dual carbon” goals，the marine economy，as a vital pillar of national economic development，urgently requires exploration of low-carbon transition and collaborative carbonreduction pathways.This study employs asuper-eficiency SBM-GML model incorporating undesirable outputs to measure marine economic efficiency under carbon emission constraints. It introduces a modified gravity model and social network analysis （SNA）to analyze the structural characteristics of the spatial correlation network of marine economic efficiency under these constraints.Additionally，quadratic assgnment procedure（QAP） is used to empirically examine the driving factors of the network. The findings reveal that：（1）Marineeconomic eficiency overall exhibits afluctuating trendof“rising fluctuation-adjustmentstabilization，”with significant regional divergence.Provinces like Jiangsu and Zhejiang maintain leading efficiency，while regions such as Hebei and Guangxi are trapped in a“low-efficiency lock-in.”（2）The densityof the spatialcorrelationnetwork increased from0.209 to0.291，whilethe network hierarchy decreased by 67.3% ．The network structure transitioned from a“core-periphery”pattern to a“multi-center mesh” pattern.Core nodes like Jiangsu and Zhejiang dominate the network，while northern provinces such as Liaoning and Shandong gradually ascended to secondary hubs.（3）Functional diferentiation among blocks is significant：the Yangtze River Deltaregionactsasa“netbeneficiary block，”andthe BohaiRimregion serves asa“bidirectional spilloverblock.”Interalconnections within blocksarestrong，butcrossblocksynergyremains weak. （4）The formation of the spatial correlation network is primarily influenced by geographical proximity， differences in environmental regulation intensity，and disparities in scientificresearch capability．This research providesabasis for optimizing low-carbon collaborative developmentpathways for the marine economy and offers policy insights forachieving balancedregional development and deep integration with the“dualcarbon”goals. Keywords：Marine economy，Marine low-carbon，Spatial correlation，Social network analysis
0 引言
海洋经济作为国民经济高质量发展的“蓝色引擎”，不仅承担着资源开发与生态保护的双重使命，还面临着碳排放约束下的低碳转型难题。（剩余19223字）
