[1]章文,程涛,梅志雄,等.深圳服务业的空间分布及自相关格局分析[J].深圳大学学报理工版,2014,31(6):638-646.[doi:10.3724/SP.J.1249.2014.06638]
 Zhang Wen,Cheng Tao,et al.Spatial distribution and autocorrelation pattern of Shenzhen service industries[J].Journal of Shenzhen University Science and Engineering,2014,31(6):638-646.[doi:10.3724/SP.J.1249.2014.06638]
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深圳服务业的空间分布及自相关格局分析()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第31卷
期数:
2014年第6期
页码:
638-646
栏目:
电子与信息科学
出版日期:
2014-11-20

文章信息/Info

Title:
Spatial distribution and autocorrelation pattern of Shenzhen service industries
作者:
章文12程涛3梅志雄4王佳璆5
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, 伦敦 WC1E 6BT
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,伦敦 W1T 4TJ
Author(s):
Zhang Wen1 2 Cheng Tao3 Mei Zhixiong4 and Wang Jiaqiu5
1) School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, P.R.China
2) Key Laboratory of Urbanization and Geographical Environment Simulation of Guangdong Province, Guangzhou 510275, P.R.China
3) Faculty of Engineering Science, University College London, London WC1E 6BT, UK
4) Geography School of South China Normal University, Guangzhou 510631, P.R.China
5) Centre for Advanced Spatial Analysis, University College London, London W1T 4TJ, UK
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
Keywords:
economic geography spatial analysis service industries spatial autocorrelation Shenzhen’s tertiary industry regional economy
分类号:
P 208; F 127
DOI:
10.3724/SP.J.1249.2014.06638
文献标志码:
A
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.
Abstract:
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.

参考文献/References:

[1] Hanink D M,Ebenstein A Y,Cromley R G.Spatial analysis of selected manufacturing and service sectors in China’s economy using county employment data for 1990 and 2000[J].Regional Studies,2011,45(3):351-369.
[2] Funderburg R G,Boarnet M G.Agglomeration potential: the spatial scale of industry linkages in the Southern California economy[J].Growth and Change,2008,39(1):24-57.
[3] Marr P.The geography of the British motorcycle industry,1896-2004 [J].The Journal of Transport History,2012,33(2):163-185.
[4] Bi Xiujing,Wang Mingfeng,Li Jian,et al.Agglomeration and suburbanization: a study on the spatial distribution of software industry and its evolution in metropolitan Shanghai[J].Acta Geographica Sinica,2011,66(12):1682-1694.(in Chinese)
毕秀晶,汪明峰,李健,等.上海大都市区软件产业空间集聚与郊区化[J].地理学报,2011,66(12):1682-1694.
[5] Zhang Xiaoping,Sun Lei.Manufacture restructuring and main determinants in Beijing metropolitan area[J].Acta Geographica Sinica,2012,67(10):1308-1316.(in Chinese)
张晓平,孙磊.北京市制造业空间格局演化及影响因子分析[J].地理学报,2012,67(10):1308-1316.
[6] Meng Xiaochen,Shi Xiaoyu.The spatial distribution of FDI manufacturers in Shenzhen City [J].City Planning Review,2003,27(8):19-25.(in Chinese)
孟晓晨,石晓宇.深圳“三资”制造业企业空间分布特征与机理[J].城市规划,2003,27(8):19-25.
[7] Li Jiang,He Chuanjiao.Mechanism of agglomerating development of industries: a case study of Shenzhen [J].City Planning Review. 2008,32(9):75-80.(in Chinese)
李江,贺传皎.产业空间集聚发展的动力机制研究:以深圳市为例[J].城市规划,2008,32(9):75-80.
[8] Li Qingquan,Li Deren.Big data GIS[J].Geomatics and Information Science of Wuhan University,2014,39(6): 641-644,666.(in Chinese)
李清泉,李德仁.大数据GIS[J].武汉大学学报信息科学版,2014,39(6):641-644,666.
[9] Dormann C F, Mcpherson J M, Baraújo M, et al. Methods to account for spatial autocorrelation in the analysis of species distributional data: a review[J].Ecography,2007,30(5):609-628.
[10] Fang L,Yan L,Liang S,et al.Spatial analysis of hemorrhagic fever with renal syndrome in China [J].Bmc Infectious Diseases,2006,6(1):77.
[11] Sohn J.Industry classification considering spatial distribution of manufacturing activities [J].Area,2014,46(1):101-110.
[12] Getis A.Spatial weights matrices[J].Geographical Analysis,2009,41(4):404-410.
[13] Moran P.Notes on continuous stochastic phenomena[J].Biometrika,1950,37(1):17-23.
[14] Anselin L.Local indicators of spatial association—LISA[J].Geographical Analysis,1995,27(2):93-115.
[15] Tobler W R.A computer movie simulating urban growth in the Detroit region[J].Economic Geography,1970,46(2):234-240.
[16] Qian Minghui.Hu Ridong.Research on the spatial radiation ability of regional financial center in China[J].Geographical Research,2014,33(6):1140-1150.(in Chinese)
钱明辉,胡日东.中国区域性金融中心的空间辐射能力 [J].地理研究,2014,33(6):1140-1150.
[17] Ren Yinghua,Xu Ling,You Wanhai.A spatial econometric model and its application on the factors of financial industry agglomeration[J].The Journal of Quantitative & Technical Economics,2010(5):104-115.(in Chinese)
任英华,徐玲,游万海.金融集聚影响因素空间计量模型及其应用[J].数量经济技术经济研究,2010(5):104-115.
[18] Zhang Wen,Wang Jiaqiu.A research on Shenzhen’s industrial spatial structurebased on PCA-SOM[J].Geographical Research,2014,33(9):1736-1746.(in Chinese)
章文,王佳璆.基于PCA-SOM的深圳产业空间结构[J].地理研究,2014,33(9):1736-1746.
[19] Zhong Yun,Liu Wei.Economic features of modern service cluster and their implications[J].Tropical Geography,2012(5):515-520,574.(in Chinese)
钟韵,刘微.现代服务业集聚区经济特性及其启示[J].热带地理,2012(5):515-520,574.

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备注/Memo

备注/Memo:
Received:2013-11-02;Revised:2014-09-18;Accepted:2014-10-09
Foundation:National Natural Science Foundation of China(41001385)
Corresponding author:Professor Cheng Tao.E-mail:tao.cheng@ucl.ac.uk
Citation:Zhang Wen,Cheng Tao,Mei Zhixiong,et al.Spatial distribution and autocorrelation pattern of Shenzhen service industries[J]. Journal of Shenzhen University Science and Engineering, 2014, 31(6): 638-646.(in Chinese)
基金项目:国家自然科学基金资助项目(41001385)
作者简介:章文(1978—),男(汉族),安徽省安庆市人,中山大学博士研究生.E-mail:zhangwen@ustc.edu
引文:章文,程涛,梅志雄,等.深圳服务业空间分布及自相关格局分析[J]. 深圳大学学报理工版,2014,31(6):638-646.
更新日期/Last Update: 2014-10-29