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人文地理  2009, Vol. 24 Issue (2): 84-89    DOI: 10.13959/j.issn.1003-2398.2009.02.012
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基于空间自相关的江苏省县域经济实力空间差异研究
黄飞飞, 张小林, 余华, 崔开俊
南京师范大学 地理科学学院, 南京 210046
STUDY ON THE SPATIAL DIFFERENCES OF COUNTY ECONOMIC STRENGTH IN JIANGSU PROVINCE BASED ON SPATIAL AUTOCORRELATION
HUANG Fei-fei, ZHANG Xiao-lin, YU Hua, CUI Kai-jun
College of Geographic Sciences, Nanjing Normal University, Nanjing 210046, China

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摘要 本文选用14项代表性指标对江苏省县域经济实力空间差异进行分析并探讨了其形成原因。研究结果表明:①江苏省县域经济实力得分的全局自相关系数为-0.0691,说明就经济实力来讲江苏省县域之间存在弱的负相关性;②全省经济格局从南向北呈现"三峰两谷",地级市市区的经济实力高于周围县的经济实力;③经济发展水平因子、经济结构因子和经济效益因子三者的空间集中程度不同;④苏南地区随着距上海距离的增加,经济实力空间相似程度逐渐递减。
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关键词 县域经济实力因子分析空间自相关层次聚类分析    
Abstract:Based on economic development statistic data of 65 counties in Jiangsu province in 2005, this paper selected 14 representative indicators,and constructed index system to evaluate the county economic strength of Jiangsu province by using factor analysis method. Then according to the frequency histogram of 65 counties' economic strength scores, the recapitulatory distributing characters of the 65 counties' economic strength were distilled and the 65 countries were divided into four main categories:developed regions, less developed regions, least developed regions and undeveloped regions. By using spatial autocorrelation method and according to Global Moran's I and Local Moran's Ii, the spatial differences of county economic strength were analyzed and the causes leading to the formation of its spatial differences were explored. At last, according to economic strength scores and Local Moran's Ii of economic strength scores, the 65 counties economic strength were divided into four main categories in the application of hierarchical clustering analysis method, including the categories of accumulating-development, core-development, balanced-development and edge-development. The results show that:1)country economic strength scores' value of Global Moran's I is -0.0691, presenting weak negative correlation and strongly space heterogeneity; 2)Jiangsu province's economic formation is "three peaks and two valleys" from south to north, and the economic strength of cities is stronger than that of surrounding counties; 3)the value of Global Moran's I of economic development lever score is 0.7906, showing the differences of economic development is obvious; the score of economic structure factor and the score of economic benefits factor's value of Global Moran's I are -0.0549 and 0.0076 respectively.Three factors of economic development lever, economic structure and economic benefits take on obvious space inconsistency; 4)with the increasing distance to Shanghai, the space concentration of economic strength in southern Jiangsu is gradually decreased; 5)some problems are put forward to be further discussed in the paper.
Key wordscounty ES    factor analysis methods    spatial autocorrelation    hierarchical clustering analysis   
收稿日期: 2007-11-20     
基金资助:

国家自然科学基金项目(40471037)阶段性成果

作者简介: 黄飞飞(1982-),男,河南安阳人,硕士研究生,从事区域经济与GIS应用、城乡规划方面研究。E-mail:feifeinum1@163.com。
引用本文:   
黄飞飞, 张小林, 余华, 崔开俊. 基于空间自相关的江苏省县域经济实力空间差异研究[J]. 人文地理, 2009, 24(2): 84-89. HUANG Fei-fei, ZHANG Xiao-lin, YU Hua, CUI Kai-jun. STUDY ON THE SPATIAL DIFFERENCES OF COUNTY ECONOMIC STRENGTH IN JIANGSU PROVINCE BASED ON SPATIAL AUTOCORRELATION. HUMAN GEOGRAPHY, 2009, 24(2): 84-89.
链接本文:  
http://rwdl.xisu.edu.cn/CN/10.13959/j.issn.1003-2398.2009.02.012      或     http://rwdl.xisu.edu.cn/CN/Y2009/V24/I2/84
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