Exploring the spatial-temporal distribution and evolution of population aging and social-economic indicators in China.

ABSTRACT:

Background

China is one of the world's fastest-aging countries. Population aging and social-economic development show close relations. This study aims to illustrate the spatial-temporal distribution and movement of gravity centers of population aging and social-economic factors and thier spatial interaction across the provinces in China.

Methods

Factors of elderly population rate (EPR), elderly dependency ratio (EDR), per capita gross regional product (GRP_pc), and urban population rate (UPR) were collected. Distribution patterns were detected by using global spatial autocorrelation, Kernel density estimation, and coefficient of variation. Further, Arc GIS software was used to find the gravity centers and their movement trends yearly from 2002 to 2018. The spatial

SUBMITTER: Man W 

PROVIDER: S-EPMC8140474 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature