摘要
基于2013年1月-2016年12月温州指数的月度利率数据,利用社会网络分析(SNA)方法研究民间借贷利率的空间网络关联结构及影响因素.研究结果表明,民间借贷利率间存在一定的联动关系,但关联强度不是特别强,网络通达性较强,但网络结构欠稳定;公司出借利率的网络结构关联度高于个人出借的网络结构.QAP分析结果表明,民间借贷利率空间网络结构影响因素比较复杂,公司借贷和个人出借均受监测点交易量影响,民间借贷活跃度对网络结构有显著影响.
Based on the monthly interest rate data of Wenzhou Private Finance Index(WZPFI)from January 2013 to December 2016,social network analysis(SNA)method is used to study the spatial network correlation structure and the influence factors of private lending interest rate.The results show that there is a certain linkage among the interest rates of private lending while the correlation is not particularly strong,and there is relatively easy network accessibility while the network structure is not stable.The network structure of corporate lending rate has higher correlation than that of individual lending rate.The results of QAP analysis show that the influence factors of the interest rate space network structure of private lending are complex.Both corporate lending and individual lending are affected by the trading volume of monitor points,that is to say,the activity of private lending has a significant impact on the network structure.
作者
任欢欢
蔡风景
REN Huanhuan;CAI Fengjing(School of Mathematics and Physics,Wenzhou University,Wenzhou,China 325035)
出处
《温州大学学报（自然科学版）》
2020年第3期1-10,共10页
Journal of Wenzhou University(Natural Science Edition)
基金
浙江省科技计划软科学项目(2018C35044)。
