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

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  • المؤلفون: Alkire, Sabina; Fang, Yingfeng
  • المصدر:
    Social Indicators Research. Feb2019, Vol. 141 Issue 3, p25-64. 40p. 1 Diagram, 13 Charts, 15 Graphs, 1 Map.
  • معلومة اضافية
    • الموضوع:
    • نبذة مختصرة :
      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. [ABSTRACT FROM AUTHOR]
    • نبذة مختصرة :
      Copyright of Social Indicators Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)