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Distribution of individual incomes in China between 1992 and 2009

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  • Guo, Qiang
  • Gao, Li

Abstract

This paper presents comprehensive analysis of the evolution of the distribution of individual annual incomes across the majority of the population in China from 1992–2009. The cumulative distribution functions (CDFs) and probability density functions (PDFs) are presented. Overall, the CDFs follow the Gaussian function C(x)=Ae−(x−μ)22σ2 for the majority of individuals in the population, while the PDFs obey the function P(x)=B(x−μ)e−(x−μ)22σ2. The width of the PDF has widened from 1992 to 2009, suggesting the factor (x−μ) has been progressively skewing the curve to the right. This long tail representing the high income range is reminiscent of an exponential distribution curve. This indicates that a few individuals obtain extremely high incomes, leading to increasing levels of financial inequality in China.

Suggested Citation

  • Guo, Qiang & Gao, Li, 2012. "Distribution of individual incomes in China between 1992 and 2009," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5139-5145.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:21:p:5139-5145
    DOI: 10.1016/j.physa.2012.05.022
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    Cited by:

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    2. Asif, Muhammad & Hussain, Zawar & Asghar, Zahid & Hussain, Muhammad Irfan & Raftab, Mariya & Shah, Said Farooq & Khan, Akbar Ali, 2021. "A statistical evidence of power law distribution in the upper tail of world billionaires’ data 2010–20," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    3. Sarabia, José María & Prieto, Faustino & Trueba, Carmen & Jordá, Vanesa, 2013. "About the modified Gaussian family of income distributions with applications to individual incomes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1398-1408.
    4. Gao, Li, 2015. "Evolution of consumption distribution and model of wealth distribution in China between 1995 and 2012," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 76-86.
    5. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman & Hussain, Saiful Izzuan, 2021. "Measuring income inequality: A robust semi-parametric approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).

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