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Analyzing the Relationship between the PM2.5 Concentration and the Gini Coefficient Using the Grey Model

Author

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  • Lifeng Wu
  • Kai Cai
  • Yan Chen
  • Barbara Martinucci

Abstract

To explore the relationship between the PM2.5 concentration and the gap between the rich and the poor, the PM2.5 concentration in 26 provincial regions of China is predicted by using the Gini coefficient as the independent variable. The nonequigap fractional grey prediction model (CFNGM (1, 1)) is used for data fitting and predicting. The validity of the model is verified by comparing with the traditional nonequidistant grey model. The predicting results show that the PM2.5 concentration in many provinces of China presents a roughly downward trend. In the past nine years, the Gini coefficients have declined in more than 70% of the 26 provinces. However, the development of the Gini coefficient in Northwest China fluctuates greatly and even has an upward trend in recent years. According to the predictive results, reasonable suggestions can be put forward for the effective control of PM2.5 emission in China.

Suggested Citation

  • Lifeng Wu & Kai Cai & Yan Chen & Barbara Martinucci, 2021. "Analyzing the Relationship between the PM2.5 Concentration and the Gini Coefficient Using the Grey Model," Journal of Mathematics, Hindawi, vol. 2021, pages 1-16, September.
    • Handle: RePEc:hin:jjmath:8222993
    DOI: 10.1155/2021/8222993
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