华东师范大学学报(自然科学版) ›› 2007, Vol. 2007 ›› Issue (2): 44-51.

• 地理学 河口海岸学 • 上一篇    下一篇

中国区域经济差异的空间统计分析

鲁 凤1,2， 徐建华2   

  1. 1.南通大学 地理科学学院，江苏 南通 226007； 2.华东师范大学 地理信息科学教育部重点实验室，上海 200062
  • 收稿日期:2005-05-25 修回日期:2005-09-08 出版日期:2007-03-25 发布日期:2007-03-25
  • 通讯作者: 徐建华

Exploratory Spatial Data Analysis of the Regional Economic Disparities in China(Chinese)

LU Feng1,2， XU Jian-hua2

  

  1. 1. School of Geographic Science, Nantong University, Nantong Jiangsu 226007, China; 2. Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China
  • Received:2005-05-25 Revised:2005-09-08 Online:2007-03-25 Published:2007-03-25
  • Contact: XU Jian-hua

摘要： 运用GIS技术与空间统计分析的综合集成方法，对1978-2001年间全国各省区人均GDP的格局及其空间动态演变进行分析和研究.利用完善的ESDA方法，包括MoranⅠ指数、Moran散点图和LISA等，来揭示1978-2001年间全国各省区经济发展水平及增长的空间自相关和空间异质性.以有效地认识中国经济活动的空间分布特征，揭示空间联系的结构，认识其内在规律性及其动态演变过程，并对实证研究的结果进行了成因分析.

关键词: 区域经济差异, 空间统计分析, 中国, 区域经济差异, 空间统计分析, 中国

Abstract: The aim of this paper is an exploratory spatial data analysis of Chinese provincial per capita GDP over the sample period of 1978-2001. It revealed strong evidence of spatial autocorrelation as well as significant patterns of local spatial association. The detection of spatial clusters of high versus low per capita GDP distribution throughout the sample period is an indicator of the persistence of spatial disparities over the Chinese economic landscape. Local Moran autocorrelation statistics, Moran scatterplots and LISA were also computed and reveal the existence of “atypical regions”.

Key words: ESDA, China, regional economic inequalities, ESDA, China

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