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Exploring Multidimensional Poverty in China: 2010 to 2014

In: Research on Economic Inequality

Author

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  • Sabina Alkire
  • Yangyang Shen

Abstract

Most poverty research has explored monetary poverty. This chapter presents and analyzes the global multidimensional poverty index (MPI) estimations for China. Using China Family Panel Studies (CFPS), we find China’s global MPI was 0.035 in 2010 and decreased significantly to 0.017 in 2014. The dimensional composition of MPI suggests that nutrition, education, safe drinking water, and cooking fuel contribute most to overall non-monetary poverty in China. Such analysis is also applied to subgroups, including geographic areas (rural/urban, east/central/west, provinces), as well as social characteristics such as gender of the household heads, age, education level, marital status, household size, migration status, ethnicity, and religion. We find the level and composition of poverty differs significantly across certain subgroups. We also find high levels of mismatch between monetary and multidimensional poverty at the household level, which highlights the importance of using both complementary measures to track progress in eradicating poverty.

Suggested Citation

  • Sabina Alkire & Yangyang Shen, 2017. "Exploring Multidimensional Poverty in China: 2010 to 2014," Research on Economic Inequality, in: Research on Economic Inequality, volume 25, pages 161-228, Emerald Group Publishing Limited.
    • Handle: RePEc:eme:reinzz:s1049-258520170000025006
    DOI: 10.1108/S1049-258520170000025006
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    Citations

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    Cited by:

    1. Mario Biggeri & Luca Bortolotti & Vincenzo Mauro, 2021. "The Analysis of Well‐Being Using the Income‐Adjusted Multidimensional Synthesis of Indicators: The Case of China☆," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 684-704, September.
    2. Ge, Ting & Ngai, Steven Sek-yum, 2020. "Three pathways to promote poverty resilience: The effects of poverty on children’s educational and behavioral performance under multisystems in China," Children and Youth Services Review, Elsevier, vol. 113(C).
    3. Vanessa Sha Fan & Renuka Mahadevan, 2019. "The Role of Social Capital and Remote Chinese Villagers’ Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 1109-1128, June.
    4. Luo, Jay, 2019. "Poverty alleviation research in rural China: Three decades and counting," SocArXiv gmuav, Center for Open Science.
    5. Zhang, Zhao & Ma, Caoyuan & Wang, Aiping, 2021. "A longitudinal study of multidimensional poverty in rural China from 2010 to 2018," Economics Letters, Elsevier, vol. 204(C).
    6. Hummera Saleem & Malik Shahzad Shabbir & Bilal Khan, 2021. "Re-examining Multidimensional Poverty in Pakistan: A New Assessment of Regional Variations," Global Business Review, International Management Institute, vol. 22(6), pages 1441-1458, December.

    More about this item

    Keywords

    China; multidimensional poverty; poverty; disaggregation; mismatch; I3; I32;
    All these keywords.

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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