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Citation:

GeoDA-Based Spatial Correlation Ana lysis of Liaoning GDP

  • Received Date: 2007-12-09
  • The method of geographical spatial analysis and spatial analysis software are used to analyze the spatialsituation of L iaoning GDP. The analysis which include spatial correlation analysis of each county and therelationship between GDP and rural population, reflect the spatial correlation of L iaoning GDP effectively. Thespatial correlation of Liaoning GDP is positive, but the correlation coefficient is small, and spatial distribution isserious polarized. Moreover, there is a positive correlation between GDP and regional population.
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    Huang Runlong , Shuai Youliang. The Logisticmodel and app licationstudy on population increase [J]. Journal ofNanjing College for Population ProgrammerManagement, 2000, 16 (3) : 25 - 27
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    [4] 吕安民,李成名,林宗坚,等. 中国省级人口增长率及其空间关联分析[J]. 地理学报, 2002, 57 (2) : 143 - 150

    [5] 左相国,黎志成. 第三产业发展水平与人均GDP和农业人口比重之间的关系分析[J]. 统计观察, 2003 (1) : 50 - 51

    [6] 胡双梅. 人口、产业和城市集聚在区域经济中的关系[J]. 西南交通大学学报:社会科学版, 2005, 6 (4) : 106 - 109

    [7] 王蔻华,张宝志. 辽宁经济大发展的时代背景[J]. 沈阳师范大学学报:社会科学版, 2007, 31 (1) : 74 - 77

    [8] 王劲峰. 空间分析[M]. 北京:科学出版社, 2006

    [9] 罗 亮. 国内关于经济增长点理论的研究综述[J]. 经济学动态,2003 (3) : 53 - 55

    [10] 王小鲁. 关于中国经济增长率的几点讨论[J]. 经济学, 2002, 2(1) : 63 - 76

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GeoDA-Based Spatial Correlation Ana lysis of Liaoning GDP

  • 1. Research Institute of Forest Resource Information Techniques, CAF, Beijing 100091, China
  • 2. School of Geography, Beijing Normal University,Beijing 100875, China

Abstract: The method of geographical spatial analysis and spatial analysis software are used to analyze the spatialsituation of L iaoning GDP. The analysis which include spatial correlation analysis of each county and therelationship between GDP and rural population, reflect the spatial correlation of L iaoning GDP effectively. Thespatial correlation of Liaoning GDP is positive, but the correlation coefficient is small, and spatial distribution isserious polarized. Moreover, there is a positive correlation between GDP and regional population.

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