改革开放以来中国人口空间分布特征——基于1982—2010年全国四次人口普查资料的分析

发布时间：2018-05-20 17:38

本文选题：人口空间分布 + 人口普查　；参考：《经济地理》2016年07期

【摘要】：依据中国1982—2010年四次分县(区)人口普查数据,借助标准差椭圆分析方法、多阶段嵌套Theil系数、重心曲线、空间分布图系等研究方法,对中国人口空间分布格局及其变化进行对比分析,揭示了改革开放以来中国人口空间分布的基本演变态势。结果表明:(1)近30年来,中国人口重心位移距离变化较小,人口空间分布格局基本保持稳定,东北—西南方向人口空间分布呈现出不断集聚趋势,西北—东南方向人口空间分布则呈现出分散趋势。(2)多阶段嵌套Theil系数计算结果表明,中国人口空间分布差异总体呈缓慢缩小趋势,但省内人口空间分布差异和地级行政单元内的空间分布差异却呈现出明显增强趋势。(3)人口分布密度变化重心曲线呈"波浪"形,有西北向东南方向人口密度逐步由稀疏趋于稠密的趋势;基于分布图系、人口重心曲线将人口密度变化区域划分为无人区、极端稀疏区、相对稀疏区、中等分布区、低度密集区、中度密集区、高度密集区、极端密集区8大类型区,整个研究阶段八大类型区的县级行政区数量及人口数量变化较为明显。
[Abstract]:Based on the data of four county (district) censuses from 1982 to 2010 in China, with the aid of standard deviation elliptical analysis method, multi-stage nested Theil coefficient, barycenter curve, spatial distribution map system, etc. This paper makes a comparative analysis of the spatial distribution pattern and changes of population in China, and reveals the basic evolution trend of the spatial distribution of population in China since the reform and opening up. The results show that in the past 30 years, the displacement distance of population center of gravity in China is small, the spatial distribution pattern of population is basically stable, and the spatial distribution of population in the northeast and southwest of China shows a trend of increasing population concentration. The results of multi-stage nested Theil coefficient calculation show that the difference of population spatial distribution in China is decreasing slowly. However, the spatial distribution difference of population in the province and the spatial distribution difference in administrative units at the prefectural level showed an obvious strengthening trend. (3) the barycenter curve of population distribution density change was "wave" shape. On the basis of the distribution map, the population center curve divides the region of population density into no-man 's area, extremely sparse area, relatively sparse area and middle distribution area. There are 8 types of regions in low, medium, high and extreme concentration areas, and the number of county level and population of the eight major regions in the whole study period are more obvious.
【作者单位】：兰州大学资源环境学院;兰州大学中国西部循环经济研究中心;西北师范大学地理与环境科学学院;
【基金】：国家自然科学基金项目(41471462;41271133) 兰州大学中央高校基本科研业务费专项资金资助(13LZUJBWZB003) 中央高校基本科研业务专项资金(lzujbky-2015-216)1985E-mail
【分类号】：C924.2

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