摘要
基于长三角地区的相关数据,本文首先运用DEA和主成分分析的方法实证考察了该地区金融生态系统的效率水平和发展水平,然后在此基础上运用聚类方法对该地区25市的金融生态系统进行分类分析。结果表明:长三角地区整体金融生态系统的效率水平较高,但其发展水平具有明显的区域差异。从聚类结果看,25市的金融生态系统分成5类特征最为显著,且上海市无论金融生态系统的效率还是发展水平均为最优。
The thesis makes empirical analysis on the efficiency and development of financial ecosystem of the Yangtze River Delta via DEA and Primary Component Analysis.On this basis Cluster Analysis is used to classify financial ecology system of 25 cities in this region.Results show that the financial eco-efficiency of the region is generally high yet significant disparity exists in its development.Judging from the results of Cluster Analysis,the financial ecosystem of the sample can be classified into 5 groups,among which the city of Shanghai tops in both efficiency and development.
出处
《上海金融》
CSSCI
北大核心
2013年第7期34-37,117,共4页
Shanghai Finance
关键词
金融生态系统
DEA
主成分分析
聚类分析
Financial Ecology System
DEA
Primary Component Analysis
Cluster Analysis