Structure of Chinese city network as driven by technological knowledge flows
文献类型：SCI/SSCI论文
| 作者 | Ma H. T.; Fang, C. L.; Pang, B.; Wang, S. J. |
| 发表日期 | 2015 |
| 关键词 | technological knowledge flows patent cooperation city networks network structure structure holes cohesive subgroup spatial interaction world cities geography collaboration spillovers innovation linkages |
| 英文摘要 | Based on patent cooperation data, this study used a range of city network analysis approaches in order to explore the structure of the Chinese city network which is driven by technological knowledge flows. The results revealed the spatial structure, composition structure, hierarchical structure, group structure, and control structure of Chinese city network, as well as its dynamic factors. The major findings are: 1) the spatial pattern presents a diamond structure, in which Wuhan is the central city; 2) although the invention patent knowledge network is the main part of the broader inter-city innovative cooperation network, it is weaker than the utility model patent; 3) as the senior level cities, Beijing, Shanghai and the cities in the Zhujiang (Pearl) River Delta Region show a strong capability of both spreading and controlling technological knowledge; 4) whilst a national technology alliance has preliminarily formed, regional alliances have not been adequately established; 5) even though the cooperation level amongst weak connection cities is not high, such cities still play an important role in the network as a result of their location within 'structural holes' in the network; and 6) the major driving forces facilitating inter-city technological cooperation are geographical proximity, hierarchical proximity and technological proximity. |
| 出处 | Chinese Geographical Science |
| 卷 | 25 |
| 期 | 4 |
| 页 | 498-510 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1002-0063 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38778]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Ma H. T.,Fang, C. L.,Pang, B.,et al. Structure of Chinese city network as driven by technological knowledge flows. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。