Original Articles

Spatial Pattern Evolvement and Characteristics of the Economy in Xinjiang at the County Level

  • 1. Xinjiang Institute of Ecology and Geography, CAS, Urumqi 830011, China;
    2. Graduate University of Chinses Academy of Sciences, Beijing 100049, China

Received date: 2010-03-01

  Revised date: 2010-07-01

  Online published: 2011-04-25


This article describes the spatia1 changes of the economy in Xinjiang at the county leve1 since 1985 by using the ESDA as well as other tools such as Moran's I, Getis-0rd Gi* and function of variogram and 3-dimension figure. Based on six time discontinuity surfaces, some conclusions are drawn as follows: (1) Considering the overall spatial economic framework, the county level economy of Xinjiang shows a weak trend of spatial self correlation, with cluster function continuously strengthened on the whole. (2) The spatial structure of hotspot distribution tends to have a circular spatial structure centered on Kuitun, Kelamay and Wusu city, and the hotspots have been remarkably increased after 2000, converging in the central part of Northern Xinjiang, Eastern Xinjiang and the northeastern part of Southern Xinjiang. The coldspots converge in the southwest of Southern Xinjiang and tend to extend to the Aksu region in recent years. (3) The development of spatial economic growth framework is likely to be more unstable and heterogenous, and the convergence level is low and tends to be depressed. Hotspot areas are changing frequently without obvious geographica1 concentrations and tend to be converged in the Hami region of Eastern Xinjiang and the Kashi region in the southwest of Southern Xinjiang. The coldspots converge in the Aksu region and the west of the Hotan region in Southern Xinjiang, and the trend of regional difference of economic growth at the county level is opposite. (4) According to the spatio-temporal characteristics, multi-core is a remarkable character in the evolvement of spatial pattern of the economy in Xinjiang. The spatial economic framework is strong and self-organized, but tends to be weakened. The random of the spatial differential patterns keeps low and the mechanism of the structural differentiation caused by self correlation in space is quite remarkable. The spatial difference is low in the SE-NW direction. The heterogeneity of economic development in the NE direction is typical, and the spatial difference is great.

Cite this article

WANG Jing, ZHANG Xiaolei, DU Hongru . Spatial Pattern Evolvement and Characteristics of the Economy in Xinjiang at the County Level[J]. PROGRESS IN GEOGRAPHY, 2011 , 30(4) : 470 -478 . DOI: 10.11820/dlkxjz.2011.04.010


[1] 胡序威, 周一星, 顾朝林. 中国沿海城镇密集地区空间集聚与扩散研究. 北京: 科学出版社, 2000.

[2] 顾朝林, 甄峰, 张京祥. 集聚与扩散:城市空间结构新论.南京: 东南大学出版社, 2000.

[3] 崔功豪, 魏清泉, 陈宗兴. 区域分析与规划. 北京: 高等教育出版社, 1999.

[4] 李小建, 乔家君. 20 世纪90 年代中国县际经济差异的空间分析. 地理学报, 2001, 56(2): 136-l45.

[5] 徐建华, 鲁凤, 苏方林, 等. 中国区域经济差异的时空尺度分析. 地理研究, 2005, 24(1): 57-68.

[6] 黄飞飞, 张小林, 余华, 等. 基于空间自相关的江苏省县域经济实力空间差异研究. 人文地理, 2009, 4(2):84-89.

[7] 靳诚, 陆玉麒. 基于县域单元的江苏省经济空间格局演化. 地理学报, 2009, 64(6): 713-724.

[8] 李秀伟, 徐春亮. 东北三省区域经济极化的新格局. 地理科学, 2008, 12(8): 722-728.

[9] 欧向军, 顾朝林. 江苏省区域经济极化及其动力机制定量分析. 地理学报, 2004, 59(5): 791-799.

[10] 梁进社, 孔健. 基尼系数和变差系数对区域不平衡性度量的差异. 北京师范大学学报: 自然科学版, 1998, 34(3): 409-413.

[11] 许月卿, 贾秀丽. 近20 年来中国区域经济发展差异的测定与评价. 经济地理, 2005, 25(5): 600-603.

[12] Anse1in L. Local indicators of spatial association: LISA.Geographical Ana1ysis, l995, 27(2): 93-115.

[13] Getis A, Ord J K. The Analysis of Spatia1 Association bythe Use of Distance Statistics. Geographica1 Analysis,1992, 24(1): 189-206.

[14] 马荣华, 蒲英霞, 马晓冬. GIS 空间关联模式发现. 北京:科学出版社, 2007.

[15] 孟斌, 王劲峰, 张文忠, 等. 基于空间分析方法的中国区域经济差异研究. 地理学报, 2005, 25(4): 393-400.

[16] Pu Y X, Ge Y, Ma R H. Analyzing regional economicdisparities based on ESDA. Geographic Research, 2005,24(1): 57-68.

[17] 葛莹, 姚士谋, 蒲英霞. 运用空间自相关分析集聚经济类型的地理格局. 人文地理, 2005, 83(3): 21-25

[18] 马晓冬, 朱传耿, 马荣华, 等. 苏州地区城镇扩展的空间格局及其演化分析. 地理学报, 2008, 63(4): 405-416.

[19] 曾庆泳, 陈忠暖. 基于GIS 空间分析法的广东省经济发展区域差异. 经济地理, 2007, 27(4): 558-574.

[20] 马荣华, 顾朝林, 蒲英霞, 等. 苏南沿江城镇扩展的空间模式及其测度. 地理学报, 2007, 62(10): 1011-1022.

[21] 马晓冬, 马荣华, 徐建刚. 基于ESDA-GIS的城镇群体空间结构. 地理学报. 2004, 59(6): 1048-1057.

[22] 杜宏茹, 张小雷. 近年来新疆城镇空间集聚变化研究.地理科学, 2005, 25(3): 268-273.

[23] 高志刚, 韩延玲. 新疆经济发展梯度研究. 经济地理,2000, 20(1): 48-5l.

[24] 高志刚. 20 年来新疆地州区域经济差异动态分析. 干旱区地理, 2002, 25(3): 272-277.

[25] 韩延玲. 新疆三大区域经济差异现状与动态分析. 干旱区地理, 2004, 27(2): 272-278.

[26] 陈斐, 高志刚, 苟中林. 新疆各县市空间经济关联分析初步研究. 干旱区地理, 2003, 26(3): 274-280.

[27] 陈学刚, 杨兆萍. 基于ESDA-GIS 的新疆县域经济时空差异研究. 测绘科学, 2008, 33(3): 62-65.