Hierarchy, clusters, and spatial differences in Chinese inter-city networks constructed by scientific collaborators
Hierarchy, clusters, and spatial differences in Chinese inter-city networks constructed by scientific collaborators
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DOI：
10.1007/s11442-018-1579-5
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发表时间：
2018-12
影响因子：
4.9
通讯作者：
Ma Haitao;Fang Chuanglin;Lin Sainan;H. Xiaodong;Xu Chengdong
中科院分区：
文献类型：
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作者：
Ma Haitao;Fang Chuanglin;Lin Sainan;H. Xiaodong;Xu Chengdong
中国的城市体系正在经历一个根本性的转变，从规模等级体系向网络体系转变。当代城市网络的研究往往侧重于经济互动，而没有充分关注知识流动的问题。利用中国学术期刊网络出版数据库（CAJNPD）2014-2016年的合作论文数据，探讨了中国大陆城市间科技合作网络的若干特征。研究结果表明：（1）中国城市间科技合作的空间组织正从以管辖权为基础的等级体系向网络体系转变;（2）在知识网络中存在若干个内部联系程度较高的城市区域，这些区域的内部联系程度较平均（14.21）外部联系（8.69），以及较高的平均内部链接度（14.43）比外部链接度（10.43）;中国西部、东部和中部区域网络的区域间连通性存在差异（三个区域网络的平均INCD分别为109.65、95.81和71.88）。我们建议，中国应参与区域和次区域科学中心的发展，以实现建设创新型国家的目标。虽然研究结果显示，在这些网络的高度集中的特点，反映了中国的城市经济结构的层次性，城市网络的知识流的实际空间分布被发现是不同的城市网络的基础上，经济产出或人口。
The Chinese urban system is currently experiencing a fundamental shift, as it moves from a size-based hierarchy to a network-based system. Contemporary studies of city networks have tended to focus on economic interactions without paying sufficient attention to the issue of knowledge flow. Using data on co-authored papers obtained from China Academic Journal Network Publishing Database (CAJNPD) during 2014–2016, this study explores several features of the scientific collaboration network between Chinese mainland cities. The study concludes that:(1) the spatial organization of scientific cooperation amongst Chinese cities is shifting from a jurisdiction-based hierarchical system to a networked system; and (2) several highly intra-connected city regions were found to exist in the network of knowledge, and such regions had more average internal linkages (14.21) than external linkages (8.69), and higher average internal linkage degrees (14.43) than external linkage degrees (10.43); and (3) differences existed in terms of inter-region connectivity between the Western, Eastern, and Central China regional networks (the average INCD of the three regional networks were 109.65, 95.81, and 71.88). We suggest that China should engage in the development of regional and sub-regional scientific centers to achieve the goal of building an innovative country. Whilst findings reveal a high degree of concentration in those networks–a characteristic which reflects the hierarchical nature of China’s urban economic structure–the actual spatial distribution of city networks of knowledge flow was found to be different from that of city networks based on economic outputs or population.