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The correction of the urban-rural wealth Gini coefficient of China

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  • Pingsheng Dai
  • Zhaohui Jin

Abstract

Due to the lack of top wealth records in household surveys, many scholars believe that China’s wealth Gini coefficient is seriously underestimated. Based on data from CFPS (China Household Panel Survey), this paper corrects the urban-rural wealth Gini coefficient of China in combination with the Hurun Rich List. The study finds that real estate accounts for more than 75% of total assets, and financial assets account for less than 20% of total assets. Housing inequality contributes more than 75% to wealth inequality. The urban-rural decomposition of the wealth Gini coefficient shows that the contribution rate of urban-rural wealth inequality to the total wealth Gini coefficient is more than 50%. After the correction based on data from the Rich List, the urban wealth Gini coefficient of China is at the level of 0.70, and the urban-rural wealth Gini coefficient of China shows an inverted U-shaped change.

Suggested Citation

  • Pingsheng Dai & Zhaohui Jin, 2026. "The correction of the urban-rural wealth Gini coefficient of China," PLOS ONE, Public Library of Science, vol. 21(4), pages 1-18, April.
    • Handle: RePEc:plo:pone00:0346669
    DOI: 10.1371/journal.pone.0346669
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    References listed on IDEAS

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    1. Wang, Anbang & Ma, Junqiao & He, Ke, 2026. "Citizenization and urban–rural income inequality: Evidence from the reform of hukou system in China," World Development, Elsevier, vol. 199(C).
    2. Klass, Oren S. & Biham, Ofer & Levy, Moshe & Malcai, Ofer & Solomon, Sorin, 2006. "The Forbes 400 and the Pareto wealth distribution," Economics Letters, Elsevier, vol. 90(2), pages 290-295, February.
    3. Chen, Chau-Nan & Tsaur, Tien-Wang & Rhai, Tong-Shieng, 1982. "The Gini Coefficient and Negative Income," Oxford Economic Papers, Oxford University Press, vol. 34(3), pages 473-478, November.
    4. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    5. Satya Paul & Sriram Shankar, 2020. "An alternative single parameter functional form for Lorenz curve," Empirical Economics, Springer, vol. 59(3), pages 1393-1402, September.
    6. Philip Vermeulen, 2018. "How Fat is the Top Tail of the Wealth Distribution?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 357-387, June.
    7. Dongyub Lee & Sangwon Suh, 2025. "Measuring Income and Wealth Inequality: A Note on the Gini Coefficient for Samples with Negative Values," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 176(3), pages 947-965, February.
    8. Vanesa Jorda & José María Sarabia & Markus Jäntti, 2021. "Inequality measurement with grouped data: Parametric and non‐parametric methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 964-984, July.
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