A Study on the Spatial Correlation Effects of Digital Economy Development in China from a Non-Linear Perspective
Accurate analysis of the spatial correlation effects, spatial aggregation patterns, and critical factors in the development of China’s digital economy is of great significance to the high-quality development of China’s economy. Based on the monthly data of “The Tencent Internet Plus” digital economy...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Systems |
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| Online Access: | https://www.mdpi.com/2079-8954/11/2/63 |
| _version_ | 1797617985682145280 |
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| author | Jie Huang Huali Jin Xuhui Ding Aihua Zhang |
| author_facet | Jie Huang Huali Jin Xuhui Ding Aihua Zhang |
| author_sort | Jie Huang |
| collection | DOAJ |
| description | Accurate analysis of the spatial correlation effects, spatial aggregation patterns, and critical factors in the development of China’s digital economy is of great significance to the high-quality development of China’s economy. Based on the monthly data of “The Tencent Internet Plus” digital economy index for 31 provinces in China from 2018 to 2020, the non-linear Granger causality test and social network analysis were applied to reveal the spatial correlation effects of China’s digital economy. The quadratic assignment procedure (QAP) was used to empirically examine the factors influencing the formation of non-linear spatial association networks. The results show that the spatially linked relationships of the digital economy in 31 Chinese provinces exhibit a significant non-linear spatially correlated network structure. Block model analysis reveals that the development of the digital economy between the four major sectors is closely linked, and the national linkage effect is significant. The results of the secondary assignment procedure indicate that capital stock, information infrastructure, and geographical proximity have a significant positive impact on the formation of spatial linkages in the digital economy. In contrast, technological innovation has a significant negative impact. |
| first_indexed | 2024-03-11T08:03:45Z |
| format | Article |
| id | doaj.art-5c20dfd40340468bb7246da7ca0144e1 |
| institution | Directory Open Access Journal |
| issn | 2079-8954 |
| language | English |
| last_indexed | 2024-03-11T08:03:45Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj.art-5c20dfd40340468bb7246da7ca0144e12023-11-16T23:35:12ZengMDPI AGSystems2079-89542023-01-011126310.3390/systems11020063A Study on the Spatial Correlation Effects of Digital Economy Development in China from a Non-Linear PerspectiveJie Huang0Huali Jin1Xuhui Ding2Aihua Zhang3School of Business, Research Institute of the Economic and Social Development in the Dabie Mountains, Xinyang Normal University, Xinyang 464031, ChinaSchool of Economics, Shandong University of Finance and Economics, Jinan 250014, ChinaSchool of Finance and Economics, Jiangsu University, Zhenjiang 212013, ChinaSchool of Resource and Environmental Science, Shijiazhuang University, Shijiazhuang 050037, ChinaAccurate analysis of the spatial correlation effects, spatial aggregation patterns, and critical factors in the development of China’s digital economy is of great significance to the high-quality development of China’s economy. Based on the monthly data of “The Tencent Internet Plus” digital economy index for 31 provinces in China from 2018 to 2020, the non-linear Granger causality test and social network analysis were applied to reveal the spatial correlation effects of China’s digital economy. The quadratic assignment procedure (QAP) was used to empirically examine the factors influencing the formation of non-linear spatial association networks. The results show that the spatially linked relationships of the digital economy in 31 Chinese provinces exhibit a significant non-linear spatially correlated network structure. Block model analysis reveals that the development of the digital economy between the four major sectors is closely linked, and the national linkage effect is significant. The results of the secondary assignment procedure indicate that capital stock, information infrastructure, and geographical proximity have a significant positive impact on the formation of spatial linkages in the digital economy. In contrast, technological innovation has a significant negative impact.https://www.mdpi.com/2079-8954/11/2/63digital economynonlinear spatial correlationsnon-linear Granger causality testsocial network analysis |
| spellingShingle | Jie Huang Huali Jin Xuhui Ding Aihua Zhang A Study on the Spatial Correlation Effects of Digital Economy Development in China from a Non-Linear Perspective Systems digital economy nonlinear spatial correlations non-linear Granger causality test social network analysis |
| title | A Study on the Spatial Correlation Effects of Digital Economy Development in China from a Non-Linear Perspective |
| title_full | A Study on the Spatial Correlation Effects of Digital Economy Development in China from a Non-Linear Perspective |
| title_fullStr | A Study on the Spatial Correlation Effects of Digital Economy Development in China from a Non-Linear Perspective |
| title_full_unstemmed | A Study on the Spatial Correlation Effects of Digital Economy Development in China from a Non-Linear Perspective |
| title_short | A Study on the Spatial Correlation Effects of Digital Economy Development in China from a Non-Linear Perspective |
| title_sort | study on the spatial correlation effects of digital economy development in china from a non linear perspective |
| topic | digital economy nonlinear spatial correlations non-linear Granger causality test social network analysis |
| url | https://www.mdpi.com/2079-8954/11/2/63 |
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