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作 者:谢磊[1] 李景保[1] 袁华斌[2] 朱辉[1] 田小琴[1]
机构地区:[1]湖南师范大学资源与环境科学学院,中国湖南长沙410081 [2]湖南城市学院市政与测绘工程学院,中国湖南益阳413000
出 处:《经济地理》2014年第4期19-24,39,共7页Economic Geography
基 金:湖南省重点学科建设项目资助;湖南省科技厅项目(2011SK3113)
摘 要:以人均GDP为测度指标,采用传统统计学和ESDA相结合的方法,对2001—2010年长江中游经济区县域经济差异的时空特征进行了分析,并用多元线性回归分析对影响因子进行了初步探讨。结果表明:①经济区绝对差异持续扩大,相对差异呈"M"型变化;武汉城市圈、环长株潭城市群内部差异是经济区差异的主要贡献者;GlobalMoran’s I指数为正,县域经济空间相关性波动式减弱。②高水平县域有所增加,主要集中于省会城市下辖县域、地市市区或县级市;县域经济发展水平南北差异明显;县域经济呈现出两级"中心—边缘"的空间结构。③多元线性回归分析表明:经济基础因子对经济差异影响最大,行政因子、工业化因子分居二、三位,市场因子影响最小。Taking the per capita GDP as the index, using the method of traditional statistics and ESDA, this paper analyzed the temporal and spatial characteristics of the Midstream of the Yangtze River Economic Area' s county economy differences from 2001 to 2010.Then it preliminarily explored the impact factors by multivariate linear regression analysis method. The results show that: (1) The absolute difference of economic zone enlarges constantly, but the relative difference has a changing trend of "M"; The internal differences of Wuhan City Circle and Ring Changsha- Zhuzhou-Xiangtan Urban Agglomeration are the main contribution to the Economic Area' s differences; The Global Moran's I index is positive and the spatial correlation of counties' economy has the tendency that waves down. (2) High- level counties are increasing and they focus on counties under the jurisdiction of provincial capital cities, urban districts of the prefecture-level cities, county-level cities; County economy development level is different between south and north; County economy has two obvious levels of "core-edge" spatial structure. (3) The multiple linear regression analysis shows that: the economic basis factor has the largest impact on economic differences; Administrative factor is the second and industry factor the third; The effect of market factor is the lowest.
关 键 词:县域经济差异 空间自相关 影响因子 多元线性回归分析 长江中游经济区
分 类 号:K902[历史地理—人文地理学] F129.9[经济管理—世界经济]
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