中国大陆老龄事业发展水平数据集（2004-2016）

在《中国民政统计年鉴》、《中国统计年鉴》、《中国劳动统计年鉴》（2004-2016）数据基础上，基于“积极老龄化”理论框架，从健康、参与和保障三大维度构建中国大陆31省（区、市）老龄事业发展水平评价指标体系，利用变异系数确定指标权重，运用线性加权法计算综合评价指数，运用数理统计、重心和空间重叠性、空间错位分析等方法，分析中国老龄事业发展水平的时序变化、空间格局及其错位特征，最后得到中国大陆老龄事业发展水平数据集（2004-2016）。该数据集存储为.xls格式，由3个数据文件组成：（1）2004、2010和2016年中国31省区老龄事业发展水平；（2）中国大陆老龄事业发展水平描述性统计表；（3）2004-2016年中国大陆31省区空间错位指数；数据量为31 KB。基于该数据集的分析研究成果发表在《地理研究》2019年38卷第6期。

Based on the data from China Civil Affairs Statistical Yearbook, China Statistical Yearbook and China Labor Statistical Yearbook (2004-2016), this study constructed an evaluation index system for the development level of undertakings for the aged in 31 provinces (autonomous regions and municipalities directly under the central government) of mainland China based on the theoretical framework of "active aging", with three dimensions including health, participation and security. The coefficient of variation was used to determine the index weights, and the linear weighting method was adopted to calculate the comprehensive evaluation index. Methods including mathematical statistics, center of gravity analysis, spatial overlap analysis and spatial mismatch analysis were applied to analyze the temporal changes, spatial pattern and mismatch characteristics of the development level of undertakings for the aged in China. Finally, a dataset of the development level of undertakings for the aged in mainland China (2004-2016) was developed. This dataset is stored in .xls format and consists of three data files: (1) The development level of undertakings for the aged in 31 provinces of China in 2004, 2010 and 2016; (2) Descriptive statistical table of the development level of undertakings for the aged in mainland China; (3) Spatial mismatch index of 31 provinces in mainland China from 2004 to 2016. The total data volume is 31 KB. The research findings based on this dataset were published in *Geographical Research*, Volume 38, Issue 6, 2019.

搜集汇总

背景与挑战

背景概述

该数据集基于“积极老龄化”理论框架，从健康、参与和保障三个维度构建评价指标体系，量化分析了2004年至2016年中国31个省份老龄事业发展水平的时空变化和空间错位特征。数据包括各省份发展水平表、描述性统计表和空间错位指数表，以.xls格式存储，大小为31 KB，相关研究成果已发表于《地理研究》期刊。