曲靖师范学院学报 ›› 2017, Vol. 36 ›› Issue (4): 16-21.

• 珠江上游经济文化发展研究 • 上一篇    下一篇

昆明市人口结构与区域经济耦合的关联分析

杨艳俊1, 张欣玲2, 柳德江2, 王泉2, 王树超3   

  1. 1.玉溪师范学院 资源环境学院,云南 玉溪 653100;
    2.云南师范大学 旅游与地理科学学院,昆明 650092;
    3.腾冲市第六中学,云南 腾冲 679114
  • 收稿日期:2017-05-16 出版日期:2017-07-26
  • 作者简介:杨艳俊,玉溪师范学院资源环境学院讲师,主要从事人文地理与区域经济研究。

Correlation Analysis on the Coupling Between Population Structure and Regional Economy in Kunming City

Yang Yanjun1, Zhang Xinling2, Liu Dejiang2, Wang Quan2, Wang Shuchao3   

  1. 1.College of Resources and Environment, Yuxi Normal University, Yuxi, 653100,China;
    2.School of Tourism and Geographical Science, Yunnan Normal University , Kunming Yunnan, 650092 ,China;
    3.The Sixth Middle School of Tengchong, Tengchong Yunnan, 679114,China
  • Received:2017-05-16 Published:2017-07-26
  • Supported by:
    云南省哲学社科项目:“云南沿边地区人口安全预警系统研究”(QN2016023); 国家自然科学基金项目(41071100,40861004)资助

摘要: 为揭示昆明市各区、县人口结构与区域经济发展时空耦合关系,该研究应用“灰色关联系统模型”,建立人口结构子系统及经济子系统,对昆明市6区7县1市人口结构与经济发展耦合关系定量分析,探究昆明市人口结构与区域经济发展的适应程度,借助ArcGIS软件,绘制出昆明市各区、县人口结构与经济耦合度及耦合类型空间分布图。依据昆明市人口结构与经济发展耦合关联系数、耦合度,将昆明市各区、县人口结构与经济发展耦合类型划分为低水平耦合发展型、拮抗耦合发展型、磨合耦合发展型、协调耦合发展型四类。

关键词: 人口结构, 区域经济, 灰色关联分析, 耦合度, 昆明市

Abstract: In order to reveal the space-time coupling relationship between population structure and regional economic development in Kunming, the research, with the application of the grey system model, establishes a population structure subsystem and an economic subsystem, and makes a quantitative analysis of coupling relationship among 6 districts,7 counties and 1 city in Kunming to test the adaptation of the population structure and the regional economic development in Kunming. With the help of ArcGIS software, the spatial distribution map of the coupling degree and coupling type of population structure and economy in Kunming is drawn. Based on the coupling correlation coefficient and coupling degree of population structure and economic development in Kunming, coupling type of population structure and economic development is divided into four types, namely, low coupling, antagonistic coupling, running-in coupling and coordinated coupling.

Key words: population structure, regional economy, grey correlational analysis, coupling, Kunming City

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