标题:The spatial correlation network of capital flows in China: Evidence from China's High-Value Payment System
作者:Qian, Xianhang; Wang, Ying; Zhang, Guangli
作者机构:[Qian, Xianhang] Shandong Univ, Sch Econ, Jinan 250100, Shandong, Peoples R China.; [Wang, Ying] Shandong Univ Finance & Econ, Sch Finance, Jinan 25 更多
通讯作者:Zhang, GL
通讯作者地址:[Zhang, GL]Cent Univ Finance & Econ, Business Sch, Beijing 100081, Peoples R China.
来源:CHINA ECONOMIC REVIEW
出版年:2018
卷:50
页码:175-186
DOI:10.1016/j.chieco.2018.04.005
关键词:Capital flows; China; High-Value Payment System; Social network; analysis; Spatial correlation network
摘要:Using data from China's High-Value Payment System, this paper directly and precisely measures interregional capital flows in China and analyzes their spatial correlation. Using social network analysis methods, this study finds a spatial correlation network between interregional capital flows. The closeness of the network is strong and has a high stability. Different provinces exhibit different positions in the network. Beijing, Jiangsu, Shandong, Shanghai, and Zhejiang are at the relative core, while Qinghai, Xinjiang, Guangxi, Anhui, and Tibet are at the periphery. According to a block model, the eastern provinces belong to a bidirectional spillover block, the middle provinces are in a primary beneficial block, and the western provinces are in a net beneficial block. Based on a quadratic assignment procedure regression analysis, the paper concludes that geographical distance and differences in provinces' fixed asset investments, foreign direct investments, and marketization levels are important factors that impact the spatial correlation of capital flows. The conclusions of this paper are significant for the formulation of a regional coordinated strategy in China.
收录类别:SCOPUS;SSCI
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046122083&doi=10.1016%2fj.chieco.2018.04.005&partnerID=40&md5=63c775aa457ff2ad268f2b6dcb4637e5
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