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中国数字经济发展的空间关联网络与区域差异

Spatial Correlation Network and Regional Differences for the Development of Digital Economy in China.

作者信息

Tang Luyang, Lu Bangke, Tian Tianhai

机构信息

School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China.

School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, China.

出版信息

Entropy (Basel). 2021 Nov 25;23(12):1575. doi: 10.3390/e23121575.

DOI:10.3390/e23121575
PMID:34945881
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8700219/
Abstract

The rapid development of the digital economy is a powerful driving force to promote high-quality economic growth all over the world. Although a number of studies have been conducted to investigate the development of the digital economy in China, these studies pay little attention to the spatial linkages between the 30 provinces in China and the developmental differences between northern and southern China. Using Chinese digital economic data from 2004 to 2019, we propose an index system to measure the developmental levels of the digital economy and obtain the annual developmental levels of these provinces by using the factor analysis method. We analyze the regional differences of developmental levels by using the Theil index and kernel density estimation method. More importantly, the network method is used to analyze the correlations between the developmental levels of the digital economy in all provinces of China. By decomposing regional differences, our study shows that polarized and uncoordinated development is prominent. The development level of the digital economy in the southern region is higher than that in the northern region. In terms of regional correlations, the network study suggests that there are beneficial and spillover effects of the digital economy development between provinces. Based on the analysis results, we propose policies for improving the development of the digital economy in China.

摘要

数字经济的快速发展是推动全球经济高质量增长的强大动力。尽管已经开展了一些研究来调查中国数字经济的发展情况,但这些研究很少关注中国30个省份之间的空间联系以及中国南北地区之间的发展差异。利用2004年至2019年的中国数字经济数据,我们提出了一个衡量数字经济发展水平的指标体系,并使用因子分析法得出这些省份的年度发展水平。我们使用泰尔指数和核密度估计方法分析发展水平的区域差异。更重要的是,运用网络方法分析中国各省数字经济发展水平之间的相关性。通过分解区域差异,我们的研究表明两极分化和不协调发展较为突出。南方地区数字经济的发展水平高于北方地区。在区域相关性方面,网络研究表明省份之间数字经济发展存在有益和溢出效应。基于分析结果,我们提出了促进中国数字经济发展的政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/1fc35c91d8cb/entropy-23-01575-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/6873607c16c3/entropy-23-01575-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/0b7c70f1b312/entropy-23-01575-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/edbe037699a5/entropy-23-01575-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/b53ca990e0c2/entropy-23-01575-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/b1aa42e678a6/entropy-23-01575-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/1fc35c91d8cb/entropy-23-01575-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/6873607c16c3/entropy-23-01575-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/0b7c70f1b312/entropy-23-01575-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/edbe037699a5/entropy-23-01575-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/b53ca990e0c2/entropy-23-01575-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/b1aa42e678a6/entropy-23-01575-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9a0/8700219/1fc35c91d8cb/entropy-23-01575-g006.jpg

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