Analyzing the Relationship between the PM_2.5 Concentration and the Gini Coefficient Using the Grey Model

Table 3

Fitting results of the PM_2.5 concentrations in East China.

Year	Jiangsu			Shanghai			Zhejiang
	Gini coefficient	PM2.5	Result	Gini coefficient	PM2.5	Result	Gini coefficient	PM2.5	Result
2006	0.369	53.7	53.7	0.311	50.8	50.8	0.361	46.5	46.5
2007	0.371	61.1	62.3	0.303	59.1	54.4	0.362	48.9	49.0
2008	0.372	57.5	62.6	0.303	51.6	53.8	0.362	47.8	49.0
2009	0.377	66.2	63.3	0.295	59.0	53.1	0.361	48.5	48.9
2010	0.378	61.7	64.1	0.281	48.4	51.3	0.354	46.7	48.3
2011	0.354	66.6	61.1	0.277	52.5	49.9	0.333	47.3	46.2
2012	0.350	56.3	58.0	0.278	50.0	49.7	0.322	47.3	44.0
2013	0.363	59.2	59.2	0.282	47.4	50.1	0.329	44.5	43.7
2014	0.350	62.5	58.4	0.276	49.6	49.8	0.322	46.8	43.7
2015	0.351	58.6	57.2	0.276	51.9	49.4	0.307	41.9	42.1
2016	0.338	50.2	56.3	0.327	43.3	53.6	0.311	35.7	41.4
MAPE	4.67%			6.21%			3.70%
2017	0.336		54.8	0.329		58.1	0.306		41.3
2018	0.333		54.2	0.332		58.5	0.302		40.7
2019	0.330		53.7	0.334		59.0	0.298		40.2
Year	Anhui			Fujian			Jiangxi
	Gini coefficient	PM2.5	Result	Gini coefficient	PM2.5	Result	Gini coefficient	PM2.5	Result
2006	0.415	58.9	58.9	0.380	30.7	30.7	0.367	47.1	47.1
2007	0.410	68.7	67.0	0.382	33.6	30.3	0.379	50.1	49.3
2008	0.411	61.2	66.9	0.388	28.4	30.7	0.376	44.7	49.0
2009	0.404	68.2	66.7	0.385	31.4	30.9	0.377	47.1	49.2
2010	0.380	71.3	65.7	0.408	29.7	32.1	0.360	49.6	46.9
2011	0.368	69.9	64.6	0.395	32.6	32.7	0.336	49	43.6
2012	0.353	61.8	63.7	0.377	31.6	30.8	0.341	48.4	44.2
2013	0.362	67.2	63.5	0.380	29.9	30.0	0.332	44.4	43.1
2014	0.349	68	63.4	0.332	28.6	27.6	0.337	44.4	43.7
2015	0.375	58.9	63.8	0.352	25.6	26.1	0.330	37.6	42.7
2016	0.368	52.9	64.4	0.348	24.3	26.9	0.319	37.3	41.2
MAPE	6.81%			4.29%			6.30%
2017	0.364		64.1	0.346		26.6	0.314		40.6
2018	0.360		63.8	0.343		26.3	0.310		40.0
2019	0.356		63.6	0.341		26.1	0.306		39.5