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Chinese Gini Coefficient from 2005 to 2012, Based on 20 Grouped Income Data Sets of Urban and Rural Residents

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  • Jiandong Chen
  • Fuqian Fang
  • Wenxuan Hou
  • Fengying Li
  • Ming Pu
  • Malin Song

Abstract

Data insufficiency has become the primary factor affecting research on income disparity in China. To resolve this issue, this paper explores Chinese income distribution and income inequality using distribution functions. First, it examines 20 sets of grouped data on family income between 2005 and 2012 by the China Yearbook of Household Surveys, 2013, and compares the fitting effects of eight distribution functions. The results show that the generalized beta distribution of the second kind has a high fitting to the income distribution of urban and rural residents in China. Next, these results are used to calculate the Chinese Gini ratio, which is then compared with the findings of relevant studies. Finally, this paper discusses the influence of urbanization on income inequality in China and suggests that accelerating urbanization can play an important role in narrowing the income gap of Chinese residents.

Suggested Citation

  • Jiandong Chen & Fuqian Fang & Wenxuan Hou & Fengying Li & Ming Pu & Malin Song, 2015. "Chinese Gini Coefficient from 2005 to 2012, Based on 20 Grouped Income Data Sets of Urban and Rural Residents," Journal of Applied Mathematics, Hindawi, vol. 2015, pages 1-16, March.
    • Handle: RePEc:hin:jnljam:939020
    DOI: 10.1155/2015/939020
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    Cited by:

    1. Changteng Nie & Jianxiang Wan, 2023. "How Does Internet Infrastructure Construction Affect the Urban–Rural Income Gap? Evidence from a Quasi-Natural Experiment in China," Progress in Development Studies, , vol. 23(3), pages 317-337, July.
    2. Lu Tan & Jingsong Pei, 2023. "Open Government Data and the Urban–Rural Income Divide in China: An Exploration of Data Inequalities and Their Consequences," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    3. Pengju Liu & Yitong Zhang & Shengqi Zhou, 2023. "Has Digital Financial Inclusion Narrowed the Urban–Rural Income Gap? A Study of the Spatial Influence Mechanism Based on Data from China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    4. Yu Gan & Zifeng Lu & Hao Cai & Michael Wang & Xin He & Steven Przesmitzki, 2020. "Future private car stock in China: current growth pattern and effects of car sales restriction," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(3), pages 289-306, March.
    5. Xiao Ma & Feiran Wang & Jiandong Chen & Yang Zhang, 2018. "The Income Gap Between Urban and Rural Residents in China: Since 1978," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1153-1174, December.
    6. Wang, Siliang & Tan, Shukui & Yang, Shengfu & Lin, Qiaowen & Zhang, Lu, 2019. "Urban-biased land development policy and the urban-rural income gap: Evidence from Hubei Province, China," Land Use Policy, Elsevier, vol. 87(C).
    7. Xuanming Ji & Kun Wang & He Xu & Muchen Li, 2021. "Has Digital Financial Inclusion Narrowed the Urban-Rural Income Gap: The Role of Entrepreneurship in China," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    8. Zixing Wang & Meirong Zhang, 2023. "The Distributional Effects Associated with Land Finance in China: A Perspective Based on the Urban–Rural Income Gap," Land, MDPI, vol. 12(9), pages 1-15, September.

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