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作 者:冷硕峰 席广亮[1,2] 甄峰 Leng Shuofeng;Xi Guangliang;Zhen Feng(School of Architecture and Urban Planning,Nanjing University,Nanjing 210093,China;Jiangsu Smart City Research Base,Nanjing 210093,China)
机构地区:[1]南京大学建筑与城市规划学院,南京210093 [2]江苏智慧城市研究基地,南京210093
出 处:《热带地理》2023年第4期620-635,共16页Tropical Geography
基 金:国家自然科学基金面上项目(42071202);国家社会科学重点基金项目(20AZD040);江苏省自然资源科技计划项目(2021047)。
摘 要:基于长三角数字经济企业股权关联数据,采用复杂网络分析方法,分析长三角数字经济网络的演化特征,并通过QAP模型挖掘数字经济网络影响因素。研究发现:1)2010—2020年,长三角各类型数字经济网络呈现等级扩散和节点集聚特征。2)数字经济网络投资格局整体上呈现投资净流入地区不断扩展的态势,且研究单元从以承接省内投资为主转变为以承接省外投资为主。3)认知邻近、数字经济企业数量差、二产比重差异、信息化设施差异以及前期网络基础对数字经济网络的形成和发展具有显著的正向促进作用;制度邻近、三产比重差异、数字经济企业成立时间差、创新能力差距则对数字经济网络的形成和发展呈现负向作用;地理距离不再成为制约数字经济网络形成的主要因素。这反映数字经济对信息获取、知识创新与资源整合协作的强烈需求,及其对地理空间约束的突破。Against the backdrop of digital technology integration and digital transformation,the digital economy has become an important new economic development in China.The digital economy changes and subverts the traditional production and organization modes of industries,breaks regional and spatial barriers,and realizes a highly interconnected network structure.Therefore,it is critical to study the digital economy from a network analysis perspective.In previous studies,the interlocking network model and the headquarters-branch model have been adopted to construct enterprise networks;however,the networks based on these models have some deficiencies in comprehensiveness and authenticity.An enterprise equity network built based on the investment relationships between enterprises can reflect the actual contact network status of the enterprise.Based on the above background,this study analyzed the evolutionary characteristics of the digital economy network in the Yangtze River Delta area through an enterprise equity network and explored its influencing factors and mechanisms.First,we constructed the digital economy networks of the Yangtze River Delta area for 2010,2015,and 2020 using equity investment data between enterprises and a directed correlation network model.Second,with the indicators of degree centrality,degree centralization,an investment source,and others,the spatial and temporal evolution characteristics of digital economy networks were described from two aspects:network patterns and investment relationships.Furthermore,this study explored the possible factors affecting digital economy networks in the Yangtze River Delta area through a Quadratic Assignment Procedure.This study has three main findings:1)From 2010 to 2020,various types of digital economy networks in the Yangtze River Delta area showed the characteristics of hierarchical diffusion and node agglomeration.Each industry forms an expansion of the network framework around the core node in the initial stage and then expands to the surrounding areas through
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