Research on the Spatial Association Characteristics of Financial Agglomeration in Beijing-Tianjin-Hebei City Cluster Based on Social Network Analysis Method

Caina Jiang, Jie Hu, Jianming Chen,Xiangyu Ge

2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)(2022)

引用 0|浏览1
暂无评分
摘要
Based on the social network analysis method, this paper analyzes the spatial network association characteristics of financial agglomeration with inter-city panel data of Beijing-Tianjin-Hebei city cluster from 2010 to 2020. Although the Beijing-Tianjin-Hebei city cluster has the characteristics of network structure, its development is unbalanced. Beijing, Tianjin, Tangshan, Baoding, and Shijiazhuang have ranked the top five in terms of the influence on financial agglomeration network. However, Qinhuangdao, Chengde, Zhangjiakou, and other cities have low participation in the financial development of Beijing-Tianjin-Hebei, and have not achieved better development in the financial agglomeration of Beijing-Tianjin-Hebei. Shijiazhuang, Tangshan, Hengshui and Chengde have played a bridge role in the financial agglomeration network. For this reason, it is necessary to accelerate the construction of Beijing-Tianjin-Hebei financial agglomeration centers to narrow the differences in financial development among city cluster, and play the spatial correlation and synergistic effect of financial agglomeration in Beijing-Tianjin-Hebei city cluster have been studied to promote the synergistic development.
更多
查看译文
关键词
Social Network analysis,Financial agglomeration,Beijing-Tianjin-Hebei city cluster,Spatial association introduction
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要