老年多维贫困测量:概念与视角的转换——基于A-F法及CLASS数据的实证分析
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C924.24;D669.6

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江苏高校哲学社会科学研究基金(2017SJB0558);河海大学中央高校基本科研业务费专项(2018B30814)


MultiDimensional Measurement of the Elderly: Transformation of Concept and Perspective: An Empirical Analysis Based on AF Method and CLASS Data
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    摘要:

    在人口老龄化趋势不断加剧与精准扶贫发展背景下,老年贫困问题日益成为社会关注的重点和难点。识别并缓解老年贫困,是检验社会文明和发展程度的重要标志。基于多维贫困理论,运用AlkireFoster方法构建老年多维贫困测算模型。依据2014年中国城乡老年人生活状况抽样调查数据(CLASS),以11个省(区)老年人为研究对象,从经济收入、住房保障、健康程度、养老服务、可行能力、社会参与、精神状态等7个维度进行测算。结果表明:收入并非老年贫困唯一致因,随着维度增加,老人贫困规模扩大、贫困程度加深;城乡、区域多维贫困差距增大。因此,应加强对老人贫困多维度识别与测量,对不同类型贫困老人提供“问题响应型”或“需求响应型”等多样化帮扶措施,有针对性地构建多主体、分类分层的帮扶网络和保障体系。

    Abstract:

    The poverty of the elderly is becoming the focus and difficulty of the society in the context of aging trend and targetedpoverty alleviation. Identifying and alleviating poverty of the elderly is the symbol of social civilization. Based on the Multidimensional Poverty Theory, this paper uses AlkireFoster method, analyses the elderly in 11 provinces by measurement from seven dimensions which include income, house security, state of health, pension service, capability approach, social participation and mental condition according to the data of China Longitudinal Aging Social Survey in 2014(CLASS). The study shows that income is not the only cause of poverty among the elderly. With the increase of dimensions, the scale of poverty among the elderly increases and the degree of poverty deepens; The multidimensional poverty gap between urban and rural areas is large. Therefore, it is necessary to strengthen the multidimensional identification and measurement of the poverty in the elderly and provide diversified assistance measures such as “problem response” or “demand response” to different types to build a multiagent, classified and hierarchical support network and guarantee system.

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韩振燕,夏 林.老年多维贫困测量:概念与视角的转换——基于A-F法及CLASS数据的实证分析[J].河海大学学报(哲学社会科学版),2019,21(2):79-86.(HAN Zhenyan, et al. MultiDimensional Measurement of the Elderly: Transformation of Concept and Perspective: An Empirical Analysis Based on AF Method and CLASS Data[J]. Journal of Hohai University (Philosophy and Socail Sciences),2019,21(2):79-86.(in Chinese))

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  • 在线发布日期: 2019-04-22
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