中国老年人口自评健康水平的空间分异及影响因素研究

doi:10.13959/j.issn.1003-2398.2020.03.005

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Abstract Using classification mapping and spatial autocorrelation analysis of ArcGIS, 1% population sampling survey data in 2005and 2015 and census data in 2010 are employed in this study to disclose the spatial and temporal patterns and changes of the health level of the aging population in China. Besides, this paper used random effects linear model and Tobit regression model of panel data to identify the main factors affecting spatial differentiation of health level of old people. The results are as followed: 1) There are obvious spatial differences in health level of old people in China. The cities where older peopleenjoy high health level are mainly distributed in Southeastern provinces, North China Plain, Northeast China Plain and the north of Xinjiang; 2) In the past 10 years, the spatial differentiation level of older people's health has decreased. And the number of cities with moderate health level of older people has increased significantly. 3) There is a significant positive spatial correction on the health level of old people. With spatial differentiation shrinking, spatial agglomeration rises. 4) Social and economic development level, population structure, dietary habitsand natural geographical factors are important factors affecting the spatial differentiation of old people health level, and influencing factors of elderly health varied significantly among different regions.

Key words： old people self-rated health spatial difference influencing factors Tobit model

Received: 09 July 2019

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K901

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	Articles by authors
	HUANG Bai-shi
	LI Si-si
	TONG Guang-qian
	LIN Yu-min
	LIU Ye

Cite this article:

HUANG Bai-shi,LI Si-si,TONG Guang-qian等. SPATIAL DIFFERENCE AND INFLUENCING FACTORS OF SELF-RATED HEALTH LEVEL OF OLD PEOPLE IN CHINA[J]. HUMAN GEOGRAPHY, 2020, 35(3): 37-47.

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http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2020.03.005 OR http://rwdl.xisu.edu.cn/EN/Y2020/V35/I3/37

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