首页|我国数字经济发展水平及区域网络结构

我国数字经济发展水平及区域网络结构

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基于2013-2021 全国30 个省(区、市)的面板数据,利用CRITIC-熵权法测度省域数字经济发展水平,借助QAP分析法揭示各维度差异对数字经济发展水平差异的影响程度,并运用改进的修正引力模型,构建有向加权的省域数字经济关联网络,从整体、局部、个体3 个维度量化其网络结构.研究发现,各省数字经济发展水平稳步提升,但不同省域间数字经济发展水平存在较大差异,北京、广东、上海数字经济发展水平遥遥领先;各省域数实融合平均水平变化最小,数字产业平均水平变化次之,数字基础设施和数字创新平均水平变化较大,数字基础设施差异和数字创新差异是数字经济发展水平差异的主要来源.从网络结构来看,各省份之间数字经济联系不够紧密,邻近省份更易形成凝聚子群,北京、上海、江苏、广东等省(市)占据网络中心位置,在数字经济关联网络中具有较强的影响力和吸引力.
The Development Level and Regional Network Structure of Digital Economy in China
Based on panel data from 30 provinces in China from 2013 to 2021,this paper measures the level of provincial digital economy development using the CRITIC entropy weight method.The QAP analysis method is used to reveal the degree of impact of differences in various dimensions on differences in the level of digital economy develop-ment.An improved modified gravity model is used to construct a directed weighted provincial digital economy correla-tion network,quantifying its network structure from three dimensions:overall,local,and individual.Research has found that the development level of digital economy in various provinces is steadily improving,but there are significant disparities in the development level of digital economy among different provinces.Beijing,Guangdong,and Shanghai are far ahead in the development level of digital economy.The average level of digital-real integration in each prov-ince has the smallest change,followed by the average level of changes in the digital industry,and the average levels of digital infrastructure and digital innovation have undergone significant changes.The differences in digital infrastructure and digital innovation are the main sources of disparities in the development level of the digital economy.From the perspective of network structure,the digital economy connections between provinces are not close enough,and neigh-boring provinces are prone to forming cohesive subgroups.Provincial-level regions such as Beijing,Shanghai,Jiang-su,and Guangdong occupy the central position in the network and have strong influence and attraction in the digital e-conomy correlation network.

digital economydevelopment levelnetwork structureQAP analysisdirected weighted network

李磊、袁世昌

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新疆财经大学 统计与数据科学学院,乌鲁木齐 830012

数字经济 发展水平 网络结构 QAP分析 有向加权网络

甘肃省科技厅软科学项目甘肃省哲学社会科学项目

21CX6ZA0932022YB070

2024

开发研究
甘肃省社会科学院

开发研究

CHSSCD
影响因子:0.826
ISSN:1003-4161
年,卷(期):2024.(4)
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