基于GeoDA的新疆人均GDP空间关联性研究  

Geo DA-based spatial correlation analysis of GDP in Xinjiang

作　　者：胡蒙蒙[1] 张军民[1] 彭丽媛[1] 梁二敏 

机构地区：[1]石河子大学理学院,石河子832003

出　　处：《干旱区资源与环境》2016年第1期42-48,共7页Journal of Arid Land Resources and Environment

基　　金：国家自然科学基金(41361025和41361073)资助

摘　　要：空间依赖性和异质性是区域发展的内在属性和普遍现象,因此,空间关联性成为揭示空间分异规律的重要指标和有效手段。用地理空间分析方法和Geo DA软件,分析新疆2012年县域人均GDP空间分布关联性、人均GDP水平与城市化的空间关联性。结果表明:新疆人均GDP空间分布呈现正态分布。Moran's I达到0.4,在空间上呈现明显的集聚现象。其空间投影自南向北、自西向东、由里向外呈现聚集聚合正相关分布格局;北向性体现了南北疆发展条件的绝对差异,东向性反映了区域发展对交流通道或外向区位的依赖性,自然区位和基础设施是关键分异条件。LISA局域自相关分析发现,北疆热点地区集中在克拉玛依市、乌苏市、奎屯市和布克赛尔蒙古自治县等交通区位条件和资源富集程度较好的中心地区,而经济发达的乌昌经济圈与周围县市间差异较大并形成了明显的断层,沿边县市均属于落后、封闭的空间随机发展状态;南疆更明显,高值区高度集中于南疆交通枢纽库尔勒及其周边的塔北石油开发带上,南疆三地州及沿边县市大部分为低值区,贫困与贫穷具有空间一致性,说明新疆区域发展的同质性、同构性和趋同性特征。人均GDP与城市化的空间自相关分析也得出与此一致的结论。The spatial dependence and heterogeneity is an inherent property and general phenomenon of regional development. And therefore, the spatial relevance has become an important indicator and effective means of re- vealing the spatial distribution pattern. On the basis of the methods of geographical spatial analysis and GeoDA software, we analyzed the spatial situation of per capita GDP in Xinjiang in 2012, including spatial correlation of each county and the relationship between per capita GDP and urbanization. The results showed that the spatial distribution of per capita GDP in Xinjiang appeared normal distribution. Moran＇s I was around 0.4, showing a clear clustering phenomenon in space. The spatial projection indicated a positive gathered correlation distribution pattern, which from inside to outside, from south to north, from west to east. North tropism reflecting the devel- opment conditions of the southern and northern Xinjiang were absolutely different. East tropism reflecting the de- pendence on exchange channel or outgoing location of regional development, natural location and infrastructure was the key to heterogeneity conditions. LISA local autocorrelation analysis discovered that northern Xinjiang hotspots concentrated in Karamay, Wusu, Kuitun and Booker Xaar Mongolia autonomous county, where had bet- ter traffic location conditions and abundant resources in center area. Differences between Urumqi - Changji eco- nomic circle and the surrounding counties were large and formed a clear fault. Border counties belong to the lag behind and closed space, which showed random development of the state. Southern Xinjiang was more obvious, high value areas were highly concentrated in Korla, where was traffic hub for southern Xinjiang, and the develop- ment belt of oil in Tabei. Three regions in the south of Xinjiang and the majority of counties along the border be- longed to low value area. Poverty and poor with a spatial coherence, which indicated the regional developments of Xinjiang were homogeneity, isomorphi

关 键 词：人均GDP 空间分析 Moran's I指数 LISA指数 新疆 

分 类 号：F061.5[经济管理—政治经济学]