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全球金融危机下我国金融脆弱性问题的研究
引用本文:文凤华,张阿兰,戴志锋,杨晓光.全球金融危机下我国金融脆弱性问题的研究[J].经济问题,2012(4):90-94.
作者姓名:文凤华  张阿兰  戴志锋  杨晓光
作者单位:1. 长沙理工大学经济与管理学院,长沙,410004
2. 长沙理工大学数学与计算科学学院,长沙,410004
3. 长沙理工大学经济与管理学院,长沙410004/中国科学院数学与系统科学研究院,北京100080
基金项目:国家自然科学基金,国家社科基金重大项目,湖南省社科基金重点项目
摘    要:在以房地产泡沫破灭为导火索的美国次贷危机引发的全球金融危机的背景下,吸收国内外对金融危机的最新研究成果并结合我国的实际情况,考虑房价上涨可能是我国金融脆弱性的潜在因素,并选取13个核心指标运用多变量因子分析法对我国近11年来金融脆弱性问题进行定量分析,研究认为宏观经济运行环境和金融监控是影响我国金融脆弱性的主要方面,其中房价上涨、货币增长率是影响的重要因素;我国金融脆弱性整体情况有明显的上升趋势,2007年脆弱程度最高。

关 键 词:金融危机  房产泡沫  金融脆弱性  因子分析法

The Research of Financial Fragility Problems of China under the The Global Financial Crisis
WEN Feng-hua,.a,ZHANG A-lan,.a,DAI Zhi-feng,.b,YANG Xiao-guang.The Research of Financial Fragility Problems of China under the The Global Financial Crisis[J].On Economic Problems,2012(4):90-94.
Authors:WEN Feng-hua  a  ZHANG A-lan  a  DAI Zhi-feng  b  YANG Xiao-guang
Institution:1.a,2(1.a.School of Economics and Management;b.School of Mathematics and Computer Science, Changsha University of Science and Technology,Changsha 410004,China; 2.Academy of Mathematics and Systems Sciences,Chinese Academy of Sciences,Beijing 100080,China)
Abstract:Under the global financial crisis caused by the U.S.subprime mortgage crisis started in the real estate bubble,the paper absorbs the latest research results on the financial crisis at home and abroad,combining with the actual conditions of our country,and considers rising house prices may be the potential factors of financial fragility in China,then chooses thirteen core index used by factor analysis approach and analysises the problem of financial fragility in our country in the latest eleven years.Macro economic operation environment and financial monitoring are the major aspects effecting on our country’s financial fragility,especially the important factors including house price rise and money growth rate.Chinese financial fragility of the whole situation has obvious rising trend,and reaches the highest degree in 2007.
Keywords:financial crisis  housing boom  financial fragility  factor analysis approach
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