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中国区域数字经济分类规模、时空分异与驱动特征 被引量:7

Classification Scale, Spatial-temporal Differentiation and Driving Characteristics of China’s Regional Digital Economy
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摘要 为研究我国不同区域数字经济分类规模、时空分异及产业驱动特征,文章在已有研究基础上,将数字经济核算来源细分为数字化赋能设备、数字化赋能服务、数字化交易、数字化媒体这四大类行业增加值,同时构建区域经济数字化驱动特征分析方法,分析了我国区域数字经济分类规模、时空分异与驱动特征。结果表明:2012—2019年,我国数字经济行业增加值构成中,数字化赋能服务类占比第一,广东、北京、江苏相对占优;第二的为数字化赋能设备类,广东、江苏绝对占优;数字化交易类排第三,山东、广东、江苏、浙江占优;数字化媒体类位居第四,湖南、江苏、湖北、福建占优。各区域经济数字化产业驱动特征有一定差异。 In order to study the classification scale, spatial-temporal differentiation and industrial driving characteristics of digital economy in different regions of China, this paper subdivides the sources of digital economy accounting into the four categories of added value of digital enabling equipment, digital enabling service, digital transaction and digital media on the basis of existing researches. At the same time, the paper constructs the analysis method for driving characteristics of regional digital economy, and then analyzes the classification scale, spatial-temporal differentiation and driving characteristics of regional digital economy in China. The results are shown as follows: From 2012 to 2019, digital enabling services accounted for the largest proportion of added value in China’s digital economy industry, with Guangdong, Beijing and Jiangsu relatively dominant. The second is the category of digital enabling equipment, with Guangdong, Jiangsu absolutely dominant. The category of digital transaction ranked third, with Shandong, Guangdong, Jiangsu and Zhejiang taking the lead. Digital media ranked fourth, with Hunan, Jiangsu, Hubei and Fujian in dominance. There are some differences in driving characteristics of regional economic digitalization industry.
作者 傅智宏 杨先明 宋尧 Fu Zhihong;Yang Xianming;Song Yao(School of Economics and Management,Hubei University of Arts and Science,Xiangyang Hubei 441053,China;Development Institute,Yunnan University,Kunming 650091,China;Faculty of Business,Economics and Informatics,University of Zurich,Zurich Switzerland 8001)
出处 《统计与决策》 CSSCI 北大核心 2022年第4期5-9,共5页 Statistics & Decision
基金 国家社会科学基金一般项目(19BJL014)。
关键词 数字经济 分类规模 驱动特征 digital economy classification scale driving characteristics
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