老年人获得子女代际支持现状及影响因素  

Current Situation and Influencing Factors of Elderly People Receiving Intergenerational Support from Their Children

作　　者：汪雯婧 WANG Wenjing(School of Economics and Management,Dalian University for Nationalities,Dalian 116000,Liaoning,China)

机构地区：[1]大连民族大学经济管理学院,辽宁大连116000

出　　处：《科技和产业》2024年第15期116-121,共6页Science Technology and Industry

摘　　要：运用中国老年健康调查(CLHLS)中60岁以上老年人数据,运用OLS(普通最小二乘法)模型、二元Logit模型和Ordered Probit模型分别分析山东省老年人获得子女3种代际支持的当前状况以及影响其支持模式的关键因素。结果表明,老年人普遍获得子女的经济支持、情感关怀及生活照料。影响代际支持获得的主要因素包括老年人的年龄、健康状况、与子女的居住距离、配偶状况、有无离退休待遇。特别地,老年人年收入水平会显著影响支持的提供。应制定针对性社会政策以满足老年人需求。建议优化社会保障体系,改善城乡交通基础设施;扩大社区支持网络范围,促进多元化社区参与;增强家庭内部互动,促进代际关系和谐发展。根据实际情况为优化子女代际支持体系提供参考。The data from the China Elderly Health Survey(CLHLS)on elderly people aged 60 and above to is used to analyze the current status of elderly people in Shandong Province receiving three types of intergenerational support from their children,as well as the key factors affecting their support patterns,using OLS(ordinary least squares)model,binary Logit model,and Ordered Probit model.The results indicate that elderly people generally receive financial support,emotional care,and daily care from their children.The main factors that affect intergenerational support include the age,health status,living distance with children,spouse status,and the availability of retirement benefits for the elderly.Specifically,the annual income level of the elderly significantly affects the provision of support.Targeted social policies should be formulated to meet the needs of the elderly.It is suggested to optimize the social security system,and improve urban and rural transportation infrastructure,expand the scope of community support networks and promote diversified community participation,enhance internal family interaction and promote harmonious intergenerational relationships.Provide reference for optimizing the intergenerational support system for children based on actual situations.

关 键 词：老年人 代际支持 OLS(普通最小二乘法)模型 二元Logit模型 Ordered Probit模型 

分 类 号：F832.6[经济管理—金融学] F752.6