摘要
在全球城市网络中,每个城市的网络联系能级各不相同。目前的研究主要描述了网络特征和联系方式,以及联系程度的衡量方法,还缺少对影响网络联系动力因素的深入探索。在泰勒所建立的城市—公司数量矩阵基础上,通过对全球61个跨国现代服务业企业在49个城市的分布,计算各城市的联系度,分别将北京和首尔在全球城市网络中的联系度及其不同部门的差异进行比较;并对决定两个城市联系能级的产业、城市和国家经济等相关因素进行比对,证明产业、城市和国家等不同层次因素对全球网络城市联系度的影响。结果表明,国家腹地对城市在网络中的地位比城市和行业因素的动力作用都更加明显。这不但验证了泰勒提出的城市联系能级动力因素,而且对不同层次的动力因素得出了具体结论。
Within the network, the interlock connectivity of each city is different. The previous studies mainly described the network features and ways of connection, as well as provided calculation methods and failed to find more contents about the network. The authors of this paper adopted the calculation method of Taylor＇ s matrix values of cities-companies, and assigned the data of 61 companies and 49 cities all around the world and compared the gaps among them. Results that city and sector context factors did not impact city interlock connectivity significantly; however, national context factors have impacted cities interlock connectivity significantly. This result provides empirical analysis for Taylor＇ s definition about cities interlock connective and conducts that the dynamic factors at different levels affect cities interlock connectivity differently.
出处
《经济地理》
CSSCI
北大核心
2012年第8期36-42,共7页
Economic Geography
基金
国家自然科学基金项目(41071111)
中国人民大学亚洲研究中心项目(2010004)
关键词
全球城市网络
网络联系度
动力因素
world city network
cities interlock connectivity
dynamic factors
