深圳服务业的空间分布及自相关格局分析  

Spatial distribution and autocorrelation pattern of Shenzhen service industries

作　　者：章文[1,2] 程涛[3] 梅志雄[4] 王佳璆[5] 

机构地区：[1]中山大学地理科学与规划学院,广州510275 [2]广东省城市化与地理环境空间模拟重点实验室,广州510275 [3]伦敦大学学院工程学院 [4]华南师范大学地理科学学院,广州510631 [5]伦敦大学学院高级空间分析中心

出　　处：《深圳大学学报（理工版）》2014年第6期638-646,共9页Journal of Shenzhen University(Science and Engineering)

基　　金：国家自然科学基金资助项目(41001385)~~

摘　　要：在建立深圳服务业地理数据库基础上,采用空间分析法分析深圳服务业的分布格局及空间自相关性.研究表明,点密度渲染和加权平均中心刻画出了地理要素总量分布情况,深圳服务业企业分布密度基本体现从市中心向外递减的规律,各服务业加权中心均西向偏离地理中心.通过Moran's I检验,显示深圳服务业具有不同的全局空间自相关性,高增加值比重(≥3%)服务业局部自相关集聚区呈多样化格局,区域分工已经形成,这是区位条件、经济联系和政府规划等因素共同作用的结果.研究指出,因为城市区位差异性和产业异质性的存在,不同区域有必要坚持定制化的服务业空间发展策略.Based on the establishment of Shenzhen service enterprises geographic database,spatial analysis is adopted to develop empirical research on Shenzhen service industry spatial distribution and autocorrelation patterns.Conclusions are drawn as follows： dot density rendering and centrographic statistics estimate the spatial distribution characteristics of geographic factors on the whole. Shenzhen service enterprises distribute with a strong trickle-down trend from the city center to the periphery. The weighted mean centers of Shenzhen service industries display an obviously western offset from the geometry center. Indicated by Moran＇s I verifications,Shenzhen service industries have different global spatial autocorrelations. Also Shenzhen services with high proportion of added values（ ≥3%） show diversified local spatial autocorrelations on agglomerative subdistricts. Regional industrial division has been formed,which is the result of cooperative effect of location condition,economic ties,and government planning. Furthermore,it would be necessary to keep customized spatial development policies for the specific service industry,because of the existence of urban regional differences and industrial heterogeneity.

关 键 词：经济地理学 空间分析法 服务业发展战略 空间自相关 深圳第三产业 区域经济 

分 类 号：P208[天文地球—地图制图学与地理信息工程] F127[天文地球—测绘科学与技术]