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珠三角地区企业新质生产力空间关联网络结构及驱动因素

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深入探究企业新质生产力空间关联网络结构及驱动因素有助于培育壮大经济发展新动能。文章以珠三角地区A股上市公司为样本,利用熵值法测算企业新质生产力指数,运用社会网络分析方法、DBSCAN、QAP非参数估计方法对企业新质生产力空间关联网络结构及关键驱动因素进行了定量分析。结果表明:①珠三角地区企业新质生产力呈现出以广深为主导的双核心空间聚类和多梯次分级特征,其中第一等级高密度区分布在广州和深圳,第二等级次高密度区集中在珠海,第三等级中密度核心区集中在广州—珠海连线附近及深圳周边地区,第四等级低密度核心区主要分布在珠三角地区内陆腹地。②企业新质生产力空间关联网络结构呈现出小世界特性、网络稠密化、长尾分布和"轴—辐"模式特征,网络密度和网络效率表现为先上升后下降再上升的"N"型趋势,且网络关联度整体较高。③企业新质生产力空间关联网络结构的区域性特征明显,网络节点数稳步增长并通过合作形成了"2+N"社群结构特征,即以广州、深圳为中心的2个主社群,以珠海、中山、东莞、惠州等为中心的N个副社群,环绕珠江口岸呈"n"型分布态势。④基于新质生产力空间关联网络性质可将样本企业划分为四大板块,板块Ⅰ表现出非自反性结构特征和"净溢出"板块角色特征,板块Ⅱ具有自反性结构特征和"主受益"板块角色特征,板块Ⅲ和Ⅳ均表现为自反性结构特征及"双向溢出"板块角色特征。⑤企业规模、数字化转型、创新能力及ESG表现是助推企业新质生产力空间关联网络形成的关键驱动因素。
Structure and Driving Factors of Spatial Association Network of the New Quality Productive Forces in the Pearl River Delta Region
Delving into the spatial correlation network structure and driving factors of enterprises'new-quality productive forces is helpful to cultivate and strengthen new drivers of economic development.This paper takes A-share listed companies in the Pearl River Delta(PRD)region as samples,utilizes the entropy method to calculate the index of enterprises'new-quality productive forces,and conducts quantitative analysis on the spatial correlation network structure and driving mechanisms of enterprises'new-quality productive forces based on the social network analysis,the density-based spatial clustering of applications with noise(DBSCAN),and the QAP non-parametric estimation method.The results indicate that:1)The new-quality productive forces of enterprises in the PRD region exhibits a dual-core spatial clustering and multi-tier grading characteristic.The first-tier high-density areas are distributed in Guangzhou and Shenzhen,the second-tier sub-high-density areas are concentrated in Zhuhai,the third-tier medium-density core areas are centered around the Guangzhou-Zhuhai line and the surrounding areas of Shenzhen,and the fourth-tier low-density core areas are mainly distributed in the inland hinterland of the PRD region.2)The spatial correlation network structure of enterprises'new-quality productive forces demonstrates the spatial characteristics of small-world,network densification,long-tail distribution,and an"axis-hub"pattern.The network density and network efficiency exhibit an N-shaped trend(rising first,then falling,and finally rising again),with the overall network connectivity being relatively high.3)The spatial correlation network structure of enterprises'new-quality productive forces has obvious regional characteristics,the number of network nodes has steadily increased and formed a"2+N"community structure through cooperation,namely two main communities centered on Guangzhou and Shenzhen,and N sub-communities centered on Zhuhai,Zhongshan,Dongguan,Huizhou,which are distributed in an n-shaped pattern around the Pearl River estuary.4)Based on the nature of the spatial correlation network of new-quality productive forces,the sample enterprises can be divided into four plates.Plate Ⅰ exhibits non-reflexive structural characteristics and the role of a"net spillover"plate.Plate Ⅱ has reflexive structural characteristics and the role of a"primary beneficiary"plate.Plate Ⅲ and plate Ⅳ both demonstrate reflexive structural characteristics and the role of"bidirectional spillover"plates.5)Enterprise size,digital transformation,innovation capability,and ESG performance are key driving factors that facilitate the formation of the spatial correlation network of enterprises'new-quality productive forces.

new quality productive forces of enterprisesspatial association networkcommunity structureblock modeldriving factorsdigital transformationPearl River Delta region

吴伟平、苏乐言、杨雨煊、吴客形

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湖南工商大学经济与贸易学院,中国湖南长沙 410205

上海立信会计金融学院金融学院,中国 上海 201209

企业新质生产力 空间关联网络 社群结构 块模型 驱动因素 数字化转型 珠三角地区

2024

经济地理
中国地理学会 湖南省经济地理研究所

经济地理

CSTPCDCSSCICHSSCD北大核心
影响因子:2.575
ISSN:1000-8462
年,卷(期):2024.44(12)