Research Article

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

Table 4

Fitting results of the PM2.5 concentrations in North and Northeast China.

YearBeijingHebeiShanxi
Gini coefficientPM2.5ResultGini coefficientPM2.5ResultGini coefficientPM2.5Result

20060.27977.177.10.35883.683.60.41456.756.7
20070.28169.872.30.35071.076.50.41650.154.8
20080.29670.372.60.37675.076.10.41545.654.7
20090.29271.369.50.38071.675.40.42650.953.7
20100.2526667.90.37372.775.50.41159.154.1
20110.26373.776.60.36985.975.80.40382.556.3
20120.25663.873.60.35671.576.10.39064.658.5
20130.25184.674.60.34991.276.60.38864.560.1
20140.27479.577.70.33082.477.20.37456.461.9
20150.29578.573.90.34974.877.20.43750.756.8
20160.28669.569.40.34367.376.90.39750.454.4
MAPE4.67%6.20%3.75%
20170.28771.20.34277.00.39658.5
20180.28871.00.34177.10.39558.7
20190.29070.90.33977.10.39458.9

YearInner MongoliaLiaoningHeilongjiang
Gini coefficientPM2.5ResultGini coefficientPM2.5ResultGini coefficientPM2.5Result
20060.39926.926.90.35746.846.80.38621.521.5
20070.38821.824.20.35837.144.50.38019.223.9
20080.39722.124.70.36746.946.00.37423.524.4
20090.41325.325.00.36344.045.60.37220.824.9
20100.39826.724.30.34339.942.40.33625.825.3
20110.37826.523.90.34246.141.60.30032.128.1
20120.3612423.70.32538.339.10.27526.031.1
20130.37224.324.30.34641.541.80.26729.833.4
20140.37626.124.30.36049.244.50.29540.134.7
20150.38924.824.60.35249.043.70.36635.932.0
20160.37321.823.90.33037.840.00.32725.325.8
MAPE4.67%6.40%10.91%
20170.37124.10.32739.10.32329.0
20180.36824.00.32538.70.32029.3
20190.36624.20.32338.30.31629.6