摘要
从城市群的角度运用社会网络分析法对中国-东盟自贸区空间经济联系进行研究,首先从度、入度、出度3个角度对自贸区内的44个城市建立网络模型分析城市之间的复杂关系。其次对网络图进行中心度分析,判断城市的经济辐射范围,基于核心-边缘理论对自贸区内44个城市划分。最后利用派系过滤算法对城市网络图进行社团结构分析,利用K-plex算法进行凝聚子群分析。分析结果表明自贸区内城市之间存在密切的联系,核心城市群与边缘城市群圈层明显;同时中国在自贸区内扮演着重要角色,带动国家经济关系建设,促进区域经济的繁荣发展。
As a link among spatial economics, city agglomeration plays an important role in the flowing of regional elements and the growth of economy. This thesis focuses on the study of spatial economic relations on CAFTA by using social network analysis from the perspective of city agglomeration. Firstly, this thesis establishes a network model with CAFTA of 44 cities to analyze the complex relationship among cities from aspects of degree, in-degree and out-degree. The visual network diagram shows interdependencies between China and ASEAN cities, which Shanghai, Singapore, Hong Kong and other cities in the central position of the network and radiating other cities, however, Luang prabang and Battambang cities on the verge of a network, isolation.Secondly, Palla filtering algorithm was used to analyze the community structure of CAFTA, and the K-plex algorithm for cohesive subgroup analysis. According to all of the above analysis, it shows the close relationship between CAFTA among cities. And it is obvious that the core urban agglomeration and the edge of the urban agglomeration have many differences. It also reflects that southeast and southwest cities are very important to contact ASEAN countries, such as Shanghai, Singapore, Kunming, etc. In a word, China also plays a leading role in driving national economic constructions and promoting the prosperity of the regional economic development. With the analysis on space of the urban economic relationship, this thesis provides a new thought on creating upgraded CAFTA.
出处
《地理科学》
CSCD
北大核心
2015年第5期521-528,共8页
Scientia Geographica Sinica
基金
省院省校人文社会科学基金项目(SYSX201103)资助
昆明理工大学管理与经济学院硕博生科研激励计划资助
关键词
中国-东盟自贸区
城市群
社会网络分析
中心度
CAFTA(China-ASEAN Free Trade Area)
city agglomerations
social network analysis
centre degree
