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黄河流域城市网络关联格局及影响因素——基于数字经济企业投资视角

Patterns and Influencing Factors of Urban Network Correlation in the Yellow River Basin:Based on the Perspective of Digital Economy Enterprise Investment
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摘要 基于2010年、2015年和2020年数字经济上市企业投资数据,采用社会网络分析法,分析了基于数字经济企业投资的黄河流域城市网络时空演变特征,并运用QAP模型揭示其影响因素。研究发现:第一,西安、青岛、济南一直是主要投资城市,数字制造业是数字经济企业投资的主要方向。第二,黄河流域城市网络结构显示,整体网络通达度高且稳定,城市间数字经济联系日益紧密;个体网络呈邻近扩散和跳跃扩散模式,高行政级别指向性导致“马太效应”显著;局部网络呈地理空间邻近特征,子群分布由中西部过渡到东部地区,突破“孤岛式”发展,形成“带式”格局。第三,交通密度、创新能力、地理距离、行政关系是驱动黄河流域数字产业发展和布局的主要因素,但存在行业异质性特征。传统区位因素对数字制造业影响较大,容易形成“区位锁定”和“行业锁定”,而数字服务业则倾向于布局在高行政级别聚集地。 Based on the investment data of digital economy listed companies in 2010,2015 and 2020 and by using the social network analysis method,this study analyzes the spatio-temporal evolution characteristics of the Yellow River Basin urban network based on digital economy enterprise investment and reveals the influencing factors by using the QAP model.It is found that firstly,Xi’an,Qingdao and Jinan have always been the main investment cities,and the digital manufacturing industry is the main direction for digital economy enterprises to invest in;secondly,the Yellow River Basin urban network structure shows that the overall network accessibility is high and stable while the digital economy connections among the cities are becoming increasingly close;the individual networks exhibit both neighbor diffusion pattern and jump diffusion pattern while the high administrative level’s directionality leads to a significant“Matthew effect”;the local networks exhibit geographical-spatial proximity characteristics while the subgroup distribution transitions from the central and western regions to the eastern regions,breaking through the“island style”development and forming a“belt style”pattern;and thirdly,traffic density,innovation capability,geographical distance and administrative relationship are the main factors driving the development and layout of the Yellow River Basin digital industries,but there exist industry heterogeneity characteristics.Traditional location factors have a greater impact on digital manufacturing industry,which can easily lead to“location locking”and“industry locking”,while digital service industry tends to layout in high-level administrative gathering areas.
作者 刘清春 宗文丽 代东俐 LIU Qingchun;ZONG Wenli;DAI Dongli(School of Economics,Shandong University of Finance and Economics,Jinan 250014,China)
出处 《山东财经大学学报》 2024年第2期65-78,共14页 Journal of Shandong University of Finance and Economics
基金 国家社会科学基金项目“数字经济发展促进全要素生产率增长的作用机理及实证研究”(21BJL123) 山东省社科联重大委托课题“新发展格局视角下打造鲁南经济走廊研究”(2021-ZDWT-02) 山东省重点研发计划(软科学项目)“省属特大型国有企业服务我省区域协调发展战略的作用探究”(2022RZB03025) 山东省统计科研课题“企业投资视角下黄河流域数字经济网络时空演变及影响因素”(KT23005)。
关键词 数字经济 企业投资 社会网络分析 QAP模型 黄河流域 digital economy enterprise investment social network analysis QAP model the Yellow River Basin
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