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2022, 06, v.37 11-21
Measurement of China's Provincial Digital Economy and Its Spatial Correlation
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Abstract:

Based on the input-output perspective of economic systems, the index measurement system of digital economy development level is constructed from five dimensions: digital infrastructure, digital innovation, digital governance, digital industrialization and industrial digitization by combining the fuzzy set idea, and the weights are determined and compiled with the help of the vertical and horizontal pull-off method for China's provincial digital economy development index from 2012 to 2019.Based on this, the modified gravitation model is used to measure the spatial correlation intensity of the provincial digital economy development level, and the social network analysis is used to reveal the overall shape, internal structure, and evolutionary trend of the digital economy correlation network.The results are shown as follows.(1) The overall development of the digital economy across the country is on the rise, but the “Matthew effect” and “digital divide” are obvious, with the level of digital economy development decreasing from the eastern coast to the western inland.(2) The initial formation of a network of digital economy linkages, the agglomeration and spillover effects in various regions have gradually increased, and the mobility of digital resource elements in the province has been greatly enhanced.(3) Guangdong, Jiangsu, Beijing and other eastern provinces, as structural hole occupiers, have information and resource control advantages in the development of the digital economy, and Henan, Shaanxi and Sichuan, which have faster rate of effective scale and limit system enhancement, are seen as potential occupiers of structural holes.(4) The development of the digital economy is characterized by a clear aggregation of small groups, with four cohesive subgroups formed at the provincial level, and the linkage within the subgroups is significantly stronger than the external influence.(5) Due to geographical location, climatic conditions and other factors, there is less communication among members within the Northwest subgroup, and the density within its subgroup is lower than that of the whole network, and its internal digital economy tie needs to be further strengthened.The research findings have important implications for promoting the construction of a new pattern of digital economy development in China.

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(1)具体包括:数字经济、智能经济、信息经济、知识经济、智慧经济、数字化信息、现代信息网络、信息和通信技术、ICT、通信基础设施、互联网、云计算、区块链、物联网、数字化、数字乡村、数字产业、电子商务、5G、数字基础设施、人工智能、电商、大数据、数据化、产业数字化、数字产业化、数据资产化、智慧城市、云服务、云技术、云端、电子政务、移动支付、线上、信息产业、软件、信息基础设施、信息技术、数字生活。

(2)为方便比较,本文对数字经济发展指数统一按EDI×10进行扩大处理。

(3)本文仅展示了2019年省域数字经济网络图,对其他年份结果感兴趣的读者可以随时向作者索取。

(4)本表仅展示了2012年和2019年的测度结果,对其他年份的测度结果感兴趣的读者可以随时向作者索取。

Basic Information:

China Classification Code:F49

Citation Information:

[1]JIN Can-yang,XU Ai-ting,QIU Ke-yang.Measurement of China's Provincial Digital Economy and Its Spatial Correlation[J].Journal of Statistics and Information,2022,37(06):11-21.

Fund Information:

国家社会科学基金重大项目“大数据背景下我国新经济新动能统计监测与评价研究”(18ZDA125); 浙江省重点建设高校优势特色学科(浙江工商大学统计学)、统计数据工程技术与应用协同创新中心资助

Received:  

2021-08-27

Received Year:  

2021

Accepted:  

2023-07-05

Accepted Year:  

2023

Revised:  

2022-01-11

Review Duration(Year):  

2

Published:  

2022-06-10

Publication Date:  

2022-06-10

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