Dynamics of Multidimensional Poverty and Uni-dimensional Income Poverty: An Evidence of Stability Analysis from China

Sabina Alkire and Yingfeng Fang

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2019, vol. 142, issue 1, No 2, 25-64

Abstract: Abstract 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.

Keywords: Poverty measurement; Multidimensional poverty; Stability; Weight; Robustness tests; Mis-match (search for similar items in EconPapers)
JEL-codes: D63 I3 I32 O1 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (46)

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DOI: 10.1007/s11205-018-1895-2

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