湖南省14个地级市域经济效益评价研究  

Urban Economic Benefit Evaluation Research——Evidence from 14 Prefecture Level Cities in Hunan Province

作　　者：赵小娥[1] 

机构地区：[1]湖南城建职业技术学院,中国湖南湘潭411101

出　　处：《经济地理》2015年第8期47-52,共6页Economic Geography

基　　金："十二五"国家科技支撑计划项目(2011BAJ07B00)

摘　　要：根据湖南省14个地级市的经济效益的10个指标的数据,运用因子分析法找出影响城市经济效益的主要公因子,通过多元线性回归分析中的逐步回归法对数据进行分析,运用聚类分析将14个地级市按照不同尺度分类,并找出GDP与其他指标之间的关系,对湖南省14个地级市的经济效益进行横向和纵向的比较。利用因子分析法将10个指标合理地解释为经济及人口因子和客运量因子,并根据湖南省14个地级市的综合得分进行经济效益排名;利用多元线性回归分析中的逐步回归法,得出了影响GDP的最主要的三个因素,即地方财政预算内收入、在岗职工工资总额和货运总量,并建立了线性回归方程;利用系统聚类法中的离差平方和法将湖南省14个地级市合理地分为三类,得出长沙市在湖南省GDP的贡献最高,湘西州与张家界最低。According to the data of 10 indicators of 14 cities＇ economic benefit from the statistics bureau of Hunan Province, the factor analysis method was used to find out the main common factors which affected the cities＇ economic benefitl In detail, the data analysis was carried out through the stepwise regression method, which is one of the multiple linear regression method, and the 14 prefecture level cities were classified in different scale through clustering analysis to find out the relationship between GDP and other indicators as well as comparing these cities＇ economic benefit both horizontally and vertically. The 1-0 indexes were interpreted as the economic and demographic factors as well as passenger capacity factor, and the economic benefit are ranked according to the comprehensive score. The result of the stepwise regression method indicated three most important factors which influenced GDP, namely the local finance budgetary revenue, the on-the-job worker total wages and the total freight, and then the linear regression equation was established. By using the square sum of deviations from the system clustering method, the 14 prefecture level cities were divided into three categories. The results showed that the Changsha city was the highest GDP contributor in Hunan Province, and the lowest ones were Xiangxi and Zhangjiajie.

关 键 词：经济效益 聚类分析 因子分析 高速发展 湖南 

分 类 号：F127[经济管理—世界经济]