Dynamics of Multidimensional Poverty and Uni-dimensional Income Poverty: An Evidence of Stability Analysis from China
Dynamics of Multidimensional Poverty and Uni-dimensional Income Poverty: An Evidence of Stability Analysis from China
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DOI：
10.1007/s11205-018-1895-2
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发表时间：
2019-02-01
影响因子：
3.1
通讯作者：
Fang, Yingfeng
中科院分区：
文献类型：
--
作者：
Alkire, Sabina;Fang, Yingfeng
本文构建了一个说明性的多维贫困指数，并使用中国健康与营养调查的多个批次的面板数据将其与收入贫困进行了比较。我们使用一阶随机优势法和回归分析来检验多维贫困测度的稳定性，并探讨多维测度与收入测度之间经常观察到的不匹配。我们发现，正如预期的那样，中国的多维贫困在农村地区和欠发达的西部省份显着较高。但相对于收入贫困，多维贫困的波动性较小。此外，各省按收入和多层面贫困的排名也各不相同。多维贫困计量对权重的大幅度变化有些敏感，但如果我们控制指标的权重，则多维贫困计量对指标的变化是稳定的。
In this paper, we construct an illustrative multidimensional poverty index for China and compare it with income poverty using the panel data from multiple waves of the China Health and Nutrition Survey. We use first order stochastic dominance method and regression analysis to test the stability of multidimensional poverty measures and probe the often-observed mis-match between multidimensional measures and income measures. We find as expected that China's multidimensional poverty is significantly higher in rural areas and in the less developed western provinces. But relative to the income poverty, the multidimensional poverty is less volatile. Also, the ranking of provinces by income and multidimensional poverty varies. The multidimensional poverty measures are somewhat sensitive to the large change of weight, but if we control the indicators' weight, then the multidimensional poverty measures are stable to a change of indicators.