Studying on Influence Factor of China's Population Aging

被引：0

作者：

Liu Yu-qiu ^{[1
]}

Wang Hong ^{[1
]}

Jiang Jun-na ^{[1
]}

机构：

[1] Hebei United Univ, Coll Law & Humanities, Tangshan, Hebei, Peoples R China

来源：

2012 2ND INTERNATIONAL CONFERENCE ON PHYSICAL EDUCATION AND SOCIETY MANAGEMENT (ICPESM 2012), VOL 10 | 2012年 / 10卷

关键词：

Ageing population; Principal component analysis; Linear fitting; Grey forecasting; Influence factor;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

China is an inevitable aging society in the 21st century. Increasing Numbers of elderly people and the consequential social and economic problems already caused extensive concern of the whole society, but at present we influence factors of aging research has not enough system and comprehensive. This article from the influence factors of the aging, establish the principal component analysis, the linear regression and grey prediction mathematical model, get influence the aging of the population four main factors, and predicting the future years the number of the aging population.

引用

页码：425 / 429

页数：5