异地养老或子女养老:中国老年人迁移动机的空间分异与决定因素

IF 1.9 4区 社会学 Q3 ENVIRONMENTAL STUDIES
Yu Li, Wei Qi, Shenghe Liu
{"title":"异地养老或子女养老:中国老年人迁移动机的空间分异与决定因素","authors":"Yu Li,&nbsp;Wei Qi,&nbsp;Shenghe Liu","doi":"10.1007/s12061-025-09733-8","DOIUrl":null,"url":null,"abstract":"<div><p>Given the rapid population aging and significant internal migration, it is crucial to examine the spatial heterogeneity of elderly migration to better understand inequalities arising from different motivations. However, relatively few studies have explored the diverse drivers of elderly migration in China. This study focuses on two typical types of elderly migration, migration for offspring caregiving (caregiving-oriented migration) and offsite pension (retirement-oriented migration), and compares them, given their distinct motivations. Using the 2020 China Census and spatial analysis methods, this study compares and analyzes the spatial and temporal patterns and influencing factors of the different types in China’s elderly migration. The results show a markedly unbalanced spatial distribution of elderly migration across China. Although motivated by different reasons, the highest migration ratios are concentrated in eastern provincial capitals and coastal urban agglomerations. At the same time, significant differences emerge in clustering patterns at both intra- and inter-provincial scales. Specifically, intra-provincial elderly migration is dominated by retirement-oriented moves, with a clear predominance in northern and northeastern regions. By contrast, inter-provincial elderly migration is primarily driven by caregiving for offspring, particularly concentrated in coastal areas. Furthermore, we find evidence of spatial spillover effects in both migration types. Results from the spatial lag model suggest that the availability of public services, accessibility of facilities, and quality of living environment are the main factors shaping elderly migration, while socio-economic variables exert comparatively weaker influence.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 4","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Offsite Pension or Offspring Caregiving: Spatial Differentiation and Determinants of Elderly Migration Motivations in China\",\"authors\":\"Yu Li,&nbsp;Wei Qi,&nbsp;Shenghe Liu\",\"doi\":\"10.1007/s12061-025-09733-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Given the rapid population aging and significant internal migration, it is crucial to examine the spatial heterogeneity of elderly migration to better understand inequalities arising from different motivations. However, relatively few studies have explored the diverse drivers of elderly migration in China. This study focuses on two typical types of elderly migration, migration for offspring caregiving (caregiving-oriented migration) and offsite pension (retirement-oriented migration), and compares them, given their distinct motivations. Using the 2020 China Census and spatial analysis methods, this study compares and analyzes the spatial and temporal patterns and influencing factors of the different types in China’s elderly migration. The results show a markedly unbalanced spatial distribution of elderly migration across China. Although motivated by different reasons, the highest migration ratios are concentrated in eastern provincial capitals and coastal urban agglomerations. At the same time, significant differences emerge in clustering patterns at both intra- and inter-provincial scales. Specifically, intra-provincial elderly migration is dominated by retirement-oriented moves, with a clear predominance in northern and northeastern regions. By contrast, inter-provincial elderly migration is primarily driven by caregiving for offspring, particularly concentrated in coastal areas. Furthermore, we find evidence of spatial spillover effects in both migration types. Results from the spatial lag model suggest that the availability of public services, accessibility of facilities, and quality of living environment are the main factors shaping elderly migration, while socio-economic variables exert comparatively weaker influence.</p></div>\",\"PeriodicalId\":46392,\"journal\":{\"name\":\"Applied Spatial Analysis and Policy\",\"volume\":\"18 4\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Spatial Analysis and Policy\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12061-025-09733-8\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-025-09733-8","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0

摘要

鉴于人口快速老龄化和大量的内部迁移,研究老年人迁移的空间异质性对于更好地理解不同动机导致的不平等至关重要。然而,相对较少的研究探讨了中国老年人迁移的多种驱动因素。本文主要研究了两种典型的老年人迁移类型,即照顾子女迁移(护理导向型迁移)和异地养老迁移(退休导向型迁移),并对其动机进行了比较。利用2020年中国人口普查数据和空间分析方法,对中国老年人口迁移的时空格局和影响因素进行了比较分析。结果表明,中国老年人口迁移的空间分布存在明显的不平衡。尽管原因不同,但人口迁移率最高的地区集中在东部省会城市和沿海城市群。与此同时,省际和省内的集聚格局也存在显著差异。其中,省内老年人口迁移以养老为主,北部和东北地区优势明显。相比之下,跨省老年人迁移主要是为了照顾子女,尤其是集中在沿海地区。此外,我们还发现两种迁移类型都存在空间溢出效应。空间滞后模型结果表明,公共服务可及性、设施可及性和居住环境质量是影响老年人迁移的主要因素,而社会经济变量的影响相对较弱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Offsite Pension or Offspring Caregiving: Spatial Differentiation and Determinants of Elderly Migration Motivations in China

Given the rapid population aging and significant internal migration, it is crucial to examine the spatial heterogeneity of elderly migration to better understand inequalities arising from different motivations. However, relatively few studies have explored the diverse drivers of elderly migration in China. This study focuses on two typical types of elderly migration, migration for offspring caregiving (caregiving-oriented migration) and offsite pension (retirement-oriented migration), and compares them, given their distinct motivations. Using the 2020 China Census and spatial analysis methods, this study compares and analyzes the spatial and temporal patterns and influencing factors of the different types in China’s elderly migration. The results show a markedly unbalanced spatial distribution of elderly migration across China. Although motivated by different reasons, the highest migration ratios are concentrated in eastern provincial capitals and coastal urban agglomerations. At the same time, significant differences emerge in clustering patterns at both intra- and inter-provincial scales. Specifically, intra-provincial elderly migration is dominated by retirement-oriented moves, with a clear predominance in northern and northeastern regions. By contrast, inter-provincial elderly migration is primarily driven by caregiving for offspring, particularly concentrated in coastal areas. Furthermore, we find evidence of spatial spillover effects in both migration types. Results from the spatial lag model suggest that the availability of public services, accessibility of facilities, and quality of living environment are the main factors shaping elderly migration, while socio-economic variables exert comparatively weaker influence.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.80
自引率
5.30%
发文量
57
期刊介绍: Description The journal has an applied focus: it actively promotes the importance of geographical research in real world settings It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace. RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts  Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.   FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.   Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信