区域金融发展与经济增长的实证分析——基于中国地级市区数据与分位数回归方法  

An Empirical Analysis on Regional Financial Development and Economic Growth:Based on Prefecture-level City Data of China and Quantile Regression Method

作　　者：吴拥政[1,2] 陆峰[3] 

机构地区：[1]湖南师范大学数计学院,湖南长沙410081 [2]中南财经政法大学统计学系,湖北武汉430060 [3]中国人民银行南宁中心支行,广西南宁530021

出　　处：《区域金融研究》2009年第3期25-28,共4页Journal of Regional Financial Research

基　　金：湖南师范大学青年基金项目(06102);湖南省教育厅基金项目(08C522)

摘　　要：针对地级市区的金融发展与经济增长的关系,利用中国31个省区共336个样本地级市区2000-2006年的数据,基于分位数回归统计分析结果表明,在被解释变量经济增长的不同条件分位数处解释变量金融发展和控制变量对经济增长影响的差异和波动是统计显著的。与经典的条件均值回归相比,条件分位数回归实证分析能够揭示数据生成过程更加丰富的信息,这为对区域金融发展与经济增长关系进行时空特征整合的统计建模提供了有力支持。To aim at the relationship between regional financial development and economic growth of secondary cities, used data in 7 years （2000-2006） of 336 sample secondary cities of China, based on quantile regression method, empirical analysis results show that on different quantile of dependence variable namely economy growth, there are statistical remarkable differenee and fluctuation of effects of independence variables namely financial development and other controlled variables.In comparison with classical statistical methods, quantile regression method can mine more plentiful information of data generating procedure. The empirical analysis results can powerfully support statistical and econometrics modelling based on the integration of space-time dependence characteristic of relationship between regional financial development and economic growth.

关 键 词：金融发展 经济增长 条件分位数回归 

分 类 号：F832.7[经济管理—金融学]