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作 者:罗文苑 王成超[1,2,3] 罗栋燊 LUO Wen-yuan;WANG Cheng-chao;LUO Dong-shen(School of Geographical Sciences,Fujian Normal University,Fuzhou,Fujian 350100,China;School of Environmental and Chemical Engineering,Foshan University,Foshan,Guangdong 528225,China;Institute of Geograpy,Fujian Normal University,Fuzhou,Fujian 350100,China)
机构地区:[1]福建师范大学地理科学学院,福建福州350100 [2]佛山科技学院环境与化学工程学院,广东佛山528225 [3]福建师范大学地理研究所,福建福州350100
出 处:《台湾农业探索》2022年第6期1-11,共11页Taiwan Agricultural Research
基 金:国家自然科学基金项目(4217011056);教育部人文社会科学研究项目(20YJCZH112);教育部人文社会科学研究项目(22YJCZH199);广州市社科基金项目(2022GZYB20);佛山市社科基金项目(2022-ZDA03)。
摘 要:【目的/意义】分析我国不同类型乡城迁移老年人现状,为保障流动老年人口的各项权益及推动农业转移人口的市民化提供决策参考。【方法/过程】利用2017年中国流动人口动态监测调查数据,采用二元Logistic回归模型揭示不同类型老年流动人口的长期居留意愿及影响因素。【结果/结论】研究发现:(1)老年流动人口的长期居留意愿按照异地养老型、其他型、家属随迁型和务工经商型依次降低;(2)老年流动人口长期居留意愿存在明显空间集聚性特征,高值区主要分布于我国东北和西部地区,低值区集中于东部地区;(3)户籍类型、流入时长、住房性质、融入意愿和家庭困难是决定全类型老年流动人口的居留意愿的主要因素。此外,影响不同类型老年人口长期居留意愿的主导因素存在显著差异。【Objective/Meaning】 The current situation of different types of rural-urban elderly migrants was analyzed in this paper, in order to provide decision-making reference for guaranteeing the rights and interests of the floating elderly population and promoting the citizenization of the agricultural transferring population. 【Methods/Procedures】Based on the dynamic monitoring survey data of the floating population in China in 2017, the binary logistic regression model was used to reveal the long-term residence intention and influencing factors of different types of elderly floating population. 【Results/Conclusions】 The study found that:(1) The long-term residence intention of the elderly floating population decreased in the order of the types including the non-local elderly care service, other type, the accompanying transferring of family members, and farmers’ doing business or seeking jobs in cities.(2) The long-term residence intention of the elderly floating population had the characteristics of obvious spatial agglomeration. The high-value areas were mainly distributed in the northeast and western regions of China, while the low-value areas were concentrated in the eastern region of China.(3) The type of household registration, the duration of inflow, the housing nature, the willingness to integrate and family difficulties were the main factors that determined the residence intention of all types of elderly floating population. In addition, there were significant differences in the dominant factors affecting the long-term residence intention of different types of elderly population.
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