中国流动老年人口城市心理融入空间差异及影响因素研究

doi:10.13959/j.issn.1003-2398.2024.03.005

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Abstract Based on the data from the 2017 national migrant population dynamic monitoring survey(CMDS), this paper measures the urban psychological integration level of the floating elderly population in prefecturelevel and above cities in China from three aspects: integration willingness, psychological distance and identity. On this basis, multi-scale geographically weighted regression(MGWR) and K-means cluster methods are used to study its spatial differences and influencing factors. The results show that: 1) The level of floating elderly population's urban psychological integration in China is generally high, but its spatial difference is obvious, showing a high level in Sichuan-Chongqing, northwest, northeast areas, and a significant lag in the coastal areas of South China and Middle East. 2) The level of floating elderly population's urban psychological integration is jointly affected by the factors of mobility, family and registered residence and individual behavior at their own level, as well as the public services of the cities where they migrate. However, there were significant spatial heterogeneity and spatial scale differences among different influencing factor. Based on this, the K-means cluster method is used to divide it into four influence areas: The dominant area of household, household registration and behavioral factors, the dominant area of health service factors, the dominant area of behavioral factors and the dominant area of multi-factor co-action, it can provide some basis for making relevant policies according to local conditions.

Key words： floating elderly population urban psychological integration spatial heterogeneity multi-scale geographically weighted regression

Received: 28 April 2023

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K901.3

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	MAO Xiao-hong
	YANG Cheng-feng
	YANG Gang

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MAO Xiao-hong,YANG Cheng-feng,YANG Gang. SPATIAL DIFFERENCE OF FLOATING ELDERLY POPULATION’S URBAN PSYCHOLOGICAL INTEGRATION AND HETEROGENEITY OF INFLUENCING FACTORS IN CHINA[J]. HUMAN GEOGRAPHY, 2024, 39(3): 44-53,114.

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http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2024.03.005 OR http://rwdl.xisu.edu.cn/EN/Y2024/V39/I3/44

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