制造业"四链"耦合协调度时空演变研究OACHSSCD
Spatiotemporal evolution study of coupling coordination degree of"four chains"in manufacturing industry
推动创新链、产业链、资金链、人才链深度融合,是提升国家产业竞争力、实现经济高质量发展的主要途径.基于2014-2023 年我国31 个省份(不含港澳台地区)的面板数据,构建制造业"四链"评价指标体系,运用 Critic-熵权法确定权重,并通过耦合协调度模型量化其协同水平.进一步建立空间分析框架,依次采用核密度估计、全局莫兰指数、LISA 时间路径与泰尔指数分解方法,从分布动态、空间关联、聚集稳定性及差异来源等方面展开实证研究.结果显示,2014-2023年"四链"耦合协调度呈现"东南高、西北低"的空间格局,全国均值由波动转向平稳,低值省份加速追赶,高值省份增速放缓.核密度图显示"带宽增加、主峰降低、尾部右移"特征,表明区域差异缓慢扩大.空间相关性显著,呈现稳定的"高高相邻、低低相邻"聚集模式.泰尔指数分析表明,总体差异缓升至0.025,组内差异虽占主导但在2015-2016 年贡献度下降;组间差异持续扩大,其中华北区间贡献度减小,而华南、西南区间贡献度增大,成为区域差异的首要来源.通过整合"空间分布—关联稳定性—差异溯源"的分析链条,揭示"四链"融合的时空演化机制,为优化区域产业布局与资源配置提供实证依据与政策参考.
Promoting the deep integration of the innovation chain,industrial chain,capital chain,and talent chain("four chains")is an important path for enhancing national industrial competitiveness and achieving high-quality economic development.Based on the panel data of 31 provincial-level regions in China(excluding Hong Kong,Macao,and Taiwan)from 2014 to 2023,an evaluation index system for the"four chains"in the manufacturing industry is constructed.The Critic-entropy weight method is used to determine the weights,and the coupling coordination degree model is employed to quantify their synergy level.Further,a spatial analysis framework is established,and the kernel density estimation,global Moran′s I index,LISA time path,and Theil index decomposition methods are successively adopted to conduct empirical research from the aspects of distribution dynamics,spatial correlation,agglomeration stability,and sources of differences.The results show that from 2014 to 2023,the coupling coordination degree of the"four chains"presented a spatial pattern of"high in the southeast and low in the northwest",with the national average shifting from fluctuation to stability.Low-value provincial-level regions accelerated their catch-up,while high-value provincial-level regions saw a slowdown in growth.The kernel density map displayed the characteristics of"wider bandwidth,lower main peak,and rightward shift of the tail",indicating a slow expansion of regional differences.Spatial correlation was significant,showing an agglomeration pattern of"high-high"and"low-low"adjacency.The Theil index analysis indicated that the overall difference gradually increased to 0.025,with intra-group differences still dominant but the contribution rate declined during the periods of 2015-2016;inter-group differences continued to increase,with the contribution of the North China regions decreasing,while that of the South China and Southwest China regions increasing,becoming the primary source of regional differences.This paper,by integrating the analysis chain of"spatial distribution-correlation stability-sources of differences",reveals the spatiotemporal evolution mechanism of the"four chains"integration,providing empirical evidence and policy references for optimizing regional industrial layout and resource allocation.
孙艳丽;武岩辉
沈阳建筑大学 管理学院,辽宁 沈阳 110168沈阳建筑大学 管理学院,辽宁 沈阳 110168
管理科学
制造业四链Critic-熵权法耦合协调时空演变
manufacturing industryfour chainsCritic-entropy weight methodcoupling coordinationspatiotemporal evolution
《沈阳工业大学学报(社会科学版)》 2026 (2)
47-56,10
辽宁省经济社会发展研究课题(2026lslybwzzkt-033)辽宁省2025年决策咨询和新型智库委托研究课题.
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