人口研究 ›› 2015, Vol. 39 ›› Issue (6): 74-84.

• 论文 • 上一篇    下一篇

中国各省离婚率的空间聚集及时空格局演变分析

苏理云1柳洋2彭相武3   

  1. 重庆理工大学,重庆 400054
  • 出版日期:2015-11-29 发布日期:2016-01-18
  • 作者简介:1 重庆理工大学数学与统计学院副教授; 2 重庆理工大学数学与统计学院硕士研究生;3 重庆理工大学数学与统计学院硕士研究生
  • 基金资助:

    国家自然科学基金( 项目号: 11471060)、重庆市教委人文社科项目( 项目号: 2015SKG136)

Spatial Aggregation and Spatial-Temporal Pattern of Provincial Divorce Rate in China

Su Liyun1, Liu Yang2, Peng Xiangwu3   

  1. Chongqing University of Technology, Chongqing 400054
  • Online:2015-11-29 Published:2016-01-18
  • About author:1 Associate Professor,School of Mathematics and Statistics,Chongqing University of Technology; 2 Masters Student,School of Mathematics and Statistics,Chongqing University of Technology; 3 Masters Student,School of Mathematics and Statistics,Chongqing University of Technology

摘要: 离婚率的上升既有深刻社会背景和时代背景,也凸显了现阶段人们价值观的变化。文章在对离婚率的区域差异性、空间聚集性分析的基础上,针对中国离婚问题的区域特性和时空特征进行统计分析,揭示中国离婚问题的空间演变规律。研究发现: 中国各省级行政区离婚率的高、低在空间上呈现出非随机分布; 从全局来看,中国各省离婚率一直存在高—高型聚集或低—低型聚集; 从各省离婚率的局部聚集特征可以看出,高—高型主要集中在东北3 省,低—低型主要集中在我国南部及东南沿海等省份; 2004 ~ 2012 年间,离婚率属于高—高型且显著的热点地区逐渐集中在黑龙江、辽宁、吉林,离婚率属于低—低型且显著的冷点地区从6 个减少到只剩1 个。

关键词: 离婚率, 区域性差异, 空间聚集, 时空演变

Abstract:  The rising divorce rate has profound social and historical background in China,highlighting the changes in the values of people at this stage.To reveal the pattern of spatial-temporal evolution of Chinese divorce rate,this paper conducts a statistical analysis of regional and spatial-temporal characteristics of the changes in divorce rate at the provincial level. The divorce rate of each province in China has a non-random distribution in space,showing a significant positive spatial aggregation in China’s provinces with highhigh or low-low clustering characteristic. Looking at the characteristics of local aggregation in different provinces,the high-high clustering occurs mainly in provinces including Heilongjiang,Liaoning and Jilin,while the low-low pattern mainly in Hainan,Henan,Guangdong,Guangxi,Jiangxi,Anhui,Shandong and other south-east provinces.

Keywords: Divorce Rate, Regional Differences, Spatial Aggregation, Spatial-Temporal Evolution