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| 文章编号：1672-3104(2003)03-0355-05 |
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我国省级人均GDP增量变化的空间特征分析 |
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梁艳平1, 2，钟耳顺2，朱建军1 |
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（ 1. 中南大学信息物理工程学院，湖南长沙，410083；2.中科院地理信息产业发展中心，北京，100101） |
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| 摘 要： 空间自相关分析是一种空间统计的方法，可以揭示区域变量的空间结构形态。通过对1978～1990年和1990～2000年两个时期以来我国省级人均GDP增量变化的全局以及局域统计分析，发现我国人均GDP增量变化在整体上呈显著的空间正相关，而在东、中、西部三个区域则呈现不同的空间关联结构，这种空间结构形态20多年来基本上没有改变，反而更加增强。这种讨论对于分析我国区域经济发展的空间结构形态以及政策制定具有参考意义。 |
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| 关键词： 人均GDP；空间统计分析； 空间自相关； 空间特征 |
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Spatial feature analysis of increment
of GDP per person in provinces of China |
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LIANG Yan-ping1, 2，ZHONG Er-shun2，ZHU Jian-jun1 |
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（1.School of Infor-physics and Geomatics Engineering, Central South University, Changsha 410083, China;
2.Center of Geographic Information Industrial Development, Chinese Academy of Sciences, Beijing 100101, China） |
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| Abstract: Spatial Autocorrelation is one kind of spatial statistics, which is used to disclose the spatial structure of regional variable. The article analyzes the increment of GDP per person in the periods of 1978～1990 and 1990～2000 in each province of China. And by the national and local statistics analysis, the authors find out the increment of GDP per person wholly takes on a significant spatial positive correlation in China, but in three regions of east, central and west, it shows different spatial association structures. Furthermore, this essential spatial structure is not changed, but tends to strengthen by developing more than twenty years. The paper will offer an important reference when analyzing the spatial structure of regional economy and making decision. |
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Key words: GDP per person; spatial statistics analysis; spatial autocorrelation; spatial feature |
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