基于GIS的广东省县域经济空间差异研究  

Research on the Regional Economic Disparity in Guangdong Province Based on GIS Spatial Analysis

作　　者：吴滢[1] 千庆兰[1] 周柳青[1] 

机构地区：[1]广州大学地理科学学院,广东广州510000

出　　处：《安徽农业科学》2011年第29期18306-18309,共4页Journal of Anhui Agricultural Sciences

基　　金：国家自然科学基金项目(41071078);广东省自然科学基金项目(9151008901000187);广东高校人文社科基地重大项目(09JDXM79017)联合资助

摘　　要：以2009年广东省67个县为研究对象,选取了人均GDP等5大类23个指标作为评价因子,通过因子分析法获得各县级单元经济发展实力的综合得分,利用GeoDa软件,计算出2009年广东省县域经济发展水平的全局Moran's I,再运用Moran's I散点图和LISA方法分析其局部空间的自相关性。结果表明,广东省县域经济发展水平存在显著差异;空间分异关联特征为在中部临近珠三角地区的县域经济呈现"高高集聚";在粤西、粤北等边缘地区呈现"低低集聚",倒U型差异特征显著。县域经济发展水平基本呈现由珠江三角洲核心区—边缘区—东、西两翼—粤北山区递减的分布格局,经济发展水平最强的县域仍位于珠江三角洲核心区。Taking 67 counties in Guangdong Province in 2009 as the study object,23 indicators were selected as the evaluating factor,the composite index of each county＇s economic development was obtained through factor analysis.By using GeoDa software,Moran＇s I of Guangdong county economic level in 2009 was calculated,the spatial autocorrelation was analyzed with Moran＇s I scatter and LISA method.The results showed that there is significant disparity in county＇s economic development of Guangdong Province.The spatial correlation characteristic is that the county economies in the central which near the Pearl River Delta region present ＂high concentration＂;in marginal areas such as western and northern part of Guangdong,＂low concentration＂ is presented,the disparity of inverted U is significant.The distributed pattern of Guangdong＇s county economic development level is decreased from the core area of the Pearl River Delta to Fringe to East and West wings to Mountain District,the county with the strongest economic development level is still in the pearl river delta area.

关 键 词：县域经济 因子分析法 空间自相关 

分 类 号：F299.22[经济管理—国民经济]