Spatiotemporal characteristics and influencing factors of China’s knowledge spillover network of the marine industry
Using social network analysis, spatial econometric method and structural equation model, based on the patent citation data of China’s marine industry from 2008 to 2019, this paper analyzes the temporal-spatial characteristics and influencing factors of knowledge spillover network of marine Industry...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2024.1509523/full |
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| author | Kai Liu Kai Liu Yi Zhang Fei Peng Fei Peng Tong Xie Qiang Du Jia-yin Tan |
| author_facet | Kai Liu Kai Liu Yi Zhang Fei Peng Fei Peng Tong Xie Qiang Du Jia-yin Tan |
| author_sort | Kai Liu |
| collection | DOAJ |
| description | Using social network analysis, spatial econometric method and structural equation model, based on the patent citation data of China’s marine industry from 2008 to 2019, this paper analyzes the temporal-spatial characteristics and influencing factors of knowledge spillover network of marine Industry in China. The results show that: the knowledge spillover network with Qingdao, Beijing and Shanghai as the main distribution centers has expanded rapidly, and the network status of Zhoushan, Wuhan and other cities has improved significantly. The network space structure tends to be multi-core and complex, extending from coast to inland; There are significant differences in cyberspace. The central and western regions are low value areas, while the eastern region is the core area, and the core cities have built an “X” shaped spatial structure with Qingdao as the intersection; Knowledge proximity, social proximity, cognitive proximity and economic proximity are important factors that affect knowledge spillover networks. Geographic proximity has a reinforcing effect on knowledge proximity and economic proximity. This paper is beneficial in that it provides a reference and experience for the innovation of the marine industry and the high-quality development of the marine economy by effectively analyzing the spatio-temporal characteristics and influencing factors of China’s marine knowledge diffusion network. |
| format | Article |
| id | doaj-art-9fc89751ff2c4aa5a317baa5d09d7bab |
| institution | Kabale University |
| issn | 2296-7745 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj-art-9fc89751ff2c4aa5a317baa5d09d7bab2025-01-07T06:40:26ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452025-01-011110.3389/fmars.2024.15095231509523Spatiotemporal characteristics and influencing factors of China’s knowledge spillover network of the marine industryKai Liu0Kai Liu1Yi Zhang2Fei Peng3Fei Peng4Tong Xie5Qiang Du6Jia-yin Tan7Institute of Marine Sustainable Development, Liaoning Normal University, Dalian, ChinaUniversity Collaborative Innovation Center of Marine Economy High-Quality Development of Liaoning Province, Dalian, ChinaInstitute of Marine Sustainable Development, Liaoning Normal University, Dalian, ChinaInstitute of Marine Sustainable Development, Liaoning Normal University, Dalian, ChinaUniversity Collaborative Innovation Center of Marine Economy High-Quality Development of Liaoning Province, Dalian, ChinaInstitute of Marine Sustainable Development, Liaoning Normal University, Dalian, ChinaInstitute of Marine Sustainable Development, Liaoning Normal University, Dalian, ChinaInstitute of Marine Sustainable Development, Liaoning Normal University, Dalian, ChinaUsing social network analysis, spatial econometric method and structural equation model, based on the patent citation data of China’s marine industry from 2008 to 2019, this paper analyzes the temporal-spatial characteristics and influencing factors of knowledge spillover network of marine Industry in China. The results show that: the knowledge spillover network with Qingdao, Beijing and Shanghai as the main distribution centers has expanded rapidly, and the network status of Zhoushan, Wuhan and other cities has improved significantly. The network space structure tends to be multi-core and complex, extending from coast to inland; There are significant differences in cyberspace. The central and western regions are low value areas, while the eastern region is the core area, and the core cities have built an “X” shaped spatial structure with Qingdao as the intersection; Knowledge proximity, social proximity, cognitive proximity and economic proximity are important factors that affect knowledge spillover networks. Geographic proximity has a reinforcing effect on knowledge proximity and economic proximity. This paper is beneficial in that it provides a reference and experience for the innovation of the marine industry and the high-quality development of the marine economy by effectively analyzing the spatio-temporal characteristics and influencing factors of China’s marine knowledge diffusion network.https://www.frontiersin.org/articles/10.3389/fmars.2024.1509523/fullknowledge spillover networkmarine industryspatiotemporal characteristicsinfluencing factorssocial network analysisstructural equation model |
| spellingShingle | Kai Liu Kai Liu Yi Zhang Fei Peng Fei Peng Tong Xie Qiang Du Jia-yin Tan Spatiotemporal characteristics and influencing factors of China’s knowledge spillover network of the marine industry Frontiers in Marine Science knowledge spillover network marine industry spatiotemporal characteristics influencing factors social network analysis structural equation model |
| title | Spatiotemporal characteristics and influencing factors of China’s knowledge spillover network of the marine industry |
| title_full | Spatiotemporal characteristics and influencing factors of China’s knowledge spillover network of the marine industry |
| title_fullStr | Spatiotemporal characteristics and influencing factors of China’s knowledge spillover network of the marine industry |
| title_full_unstemmed | Spatiotemporal characteristics and influencing factors of China’s knowledge spillover network of the marine industry |
| title_short | Spatiotemporal characteristics and influencing factors of China’s knowledge spillover network of the marine industry |
| title_sort | spatiotemporal characteristics and influencing factors of china s knowledge spillover network of the marine industry |
| topic | knowledge spillover network marine industry spatiotemporal characteristics influencing factors social network analysis structural equation model |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2024.1509523/full |
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