The Study of Regional Innovation Network Structure: Evidence from the Yangtze River Delta Urban Agglomeration
As a driving force for regional development, innovation holds an increasing position in regional competitiveness, and a reasonable and coordinated innovation network structure can promote high-quality regional development. Utilizing the modified gravity model and social network analysis method, an i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/12/10/428 |
| _version_ | 1797626668482822144 |
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| author | Jie Chen Liang Jiang Ye Tian Jing Luo |
| author_facet | Jie Chen Liang Jiang Ye Tian Jing Luo |
| author_sort | Jie Chen |
| collection | DOAJ |
| description | As a driving force for regional development, innovation holds an increasing position in regional competitiveness, and a reasonable and coordinated innovation network structure can promote high-quality regional development. Utilizing the modified gravity model and social network analysis method, an innovation network composed of 27 cities in the Yangtze River Delta urban agglomeration from 2010 to 2021 was studied. The following conclusions were founded: (1) The innovation development level in the Yangtze River Delta urban agglomeration was constantly improving, and the innovation development level generally showed a spatial pattern of high in the southeast and low in the northwest. (2) The intensity and density of innovation network correlations in urban agglomerations were increasing, and the centrality of network nodes had an obvious hierarchical characteristic. The innovation network had a significant core–periphery spatial structure, with core cities that had higher centrality, such as Shanghai, Nanjing, and Hangzhou, playing the role of “intermediaries” and “bridges”, while cities with lower centrality, such as Anhui and cities in northern Jiangsu, generally played the role of “periphery actors” in the network. (3) The spatial correlation network of innovation of the Yangtze River Delta urban agglomeration could be divided into four blocks, namely, main benefit, broker, two-way spillover, and net spillover, and the spillover effect among them had obvious gradient characteristics of hierarchy. |
| first_indexed | 2024-03-11T10:13:27Z |
| format | Article |
| id | doaj.art-127c706d4d3348bb8d3756155ab8c5bd |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-11T10:13:27Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-127c706d4d3348bb8d3756155ab8c5bd2023-11-16T10:30:39ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-10-01121042810.3390/ijgi12100428The Study of Regional Innovation Network Structure: Evidence from the Yangtze River Delta Urban AgglomerationJie Chen0Liang Jiang1Ye Tian2Jing Luo3School of Geography and Tourism, Huizhou University, Huizhou 516007, ChinaCollege of Urban and Environmental Sciences, Xuchang University, No. 88 Bayi Road, Xuchang 461000, ChinaInstitute for Advanced Studies in Finance and Economics, Hubei University of Economics, No. 8 Yangqiaohu Road, Wuhan 430205, ChinaCollege of Urban and Environmental Sciences, Central China Normal University, No. 152 Luoyu Road, Wuhan 430079, ChinaAs a driving force for regional development, innovation holds an increasing position in regional competitiveness, and a reasonable and coordinated innovation network structure can promote high-quality regional development. Utilizing the modified gravity model and social network analysis method, an innovation network composed of 27 cities in the Yangtze River Delta urban agglomeration from 2010 to 2021 was studied. The following conclusions were founded: (1) The innovation development level in the Yangtze River Delta urban agglomeration was constantly improving, and the innovation development level generally showed a spatial pattern of high in the southeast and low in the northwest. (2) The intensity and density of innovation network correlations in urban agglomerations were increasing, and the centrality of network nodes had an obvious hierarchical characteristic. The innovation network had a significant core–periphery spatial structure, with core cities that had higher centrality, such as Shanghai, Nanjing, and Hangzhou, playing the role of “intermediaries” and “bridges”, while cities with lower centrality, such as Anhui and cities in northern Jiangsu, generally played the role of “periphery actors” in the network. (3) The spatial correlation network of innovation of the Yangtze River Delta urban agglomeration could be divided into four blocks, namely, main benefit, broker, two-way spillover, and net spillover, and the spillover effect among them had obvious gradient characteristics of hierarchy.https://www.mdpi.com/2220-9964/12/10/428innovation networkspatial correlationnetwork structuresocial network analysisYangtze River Delta urban agglomeration |
| spellingShingle | Jie Chen Liang Jiang Ye Tian Jing Luo The Study of Regional Innovation Network Structure: Evidence from the Yangtze River Delta Urban Agglomeration ISPRS International Journal of Geo-Information innovation network spatial correlation network structure social network analysis Yangtze River Delta urban agglomeration |
| title | The Study of Regional Innovation Network Structure: Evidence from the Yangtze River Delta Urban Agglomeration |
| title_full | The Study of Regional Innovation Network Structure: Evidence from the Yangtze River Delta Urban Agglomeration |
| title_fullStr | The Study of Regional Innovation Network Structure: Evidence from the Yangtze River Delta Urban Agglomeration |
| title_full_unstemmed | The Study of Regional Innovation Network Structure: Evidence from the Yangtze River Delta Urban Agglomeration |
| title_short | The Study of Regional Innovation Network Structure: Evidence from the Yangtze River Delta Urban Agglomeration |
| title_sort | study of regional innovation network structure evidence from the yangtze river delta urban agglomeration |
| topic | innovation network spatial correlation network structure social network analysis Yangtze River Delta urban agglomeration |
| url | https://www.mdpi.com/2220-9964/12/10/428 |
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