摘要
本文运用我国2005—2015年101家商业银行的非平衡面板数据,采用动态面板广义矩估计(GMM)方法,对银行业集中度、竞争度和银行风险之间的关系进行了研究。在对集中度和竞争度区分的基础之上,我们首次将集中度指标HHI指数和竞争度指标Boone指数及二者的平方项同时纳入了回归模型。研究结果表明,我国银行业的集中度和竞争度都与银行风险存在非线性关系,而且我国银行业近年的HHI指数和Boone指数均分别处于"集中-脆弱"和"竞争-脆弱"区域,即集中度的下降降低了银行风险,但竞争度的上升提高了银行风险。基于这一结论,本文提出了相关政策建议。
Based on the unbalanced panel data of 101 Chinese commercial banks during the period of 2005-2015, this paper analyses the non-linear relationship between and among the degree of bank competition, concentration and risks with the method of dynamic panel GMM estimation. On the basis of the distinction between competition and concentration, we firstly put HHI index, Boone index and their respective quadratic term into the regression mode/simultaneously. The results show that both of them have nonlinear relationship with bank risk, and the HHI index and the Boone index of our country are in the ＂concentration-fragility＂ area and the ＂competition-fragility＂ area respectively in recent years, which means the decrease of concentration can reduce bank risks while the increase of competition may increase bank risks in our country. Based on this conclusion, this paper puts forward some relevant policy suggestions.
出处
《国际金融研究》
CSSCI
北大核心
2018年第6期65-75,共11页
Studies of International Finance
基金
国家社科基金重大项目"经济发展新常态下中国金融开放
金融安全与全球金融风险研究"(17ZDA037)
教育部人文社科研究项目"我国宏观审慎政策协调问题研究"(15YJA790090)资助
关键词
市场竞争度
市场集中度
银行风险
Market Concentration Degree
Market Competition Degree
Bank Risk
