Impacts of Emission Reduction Technological Changes on China’s City-Level PM2.5 Concentration Based on Sustainable Development

Table 2

Regression between provincial CO₂ emissions and energy consumption based on the variable coefficient model.

	Coefficient	Standard error	-value
CO2 emissions	49.07	1.83	≤0.001
id#c.CO2 emissions
Yunan	−23.22	2.16	≤0.001
Inner Mongolia	89.95	3.96	≤0.001
Beijing	17.42	4.23	≤0.001
Jilin	−30.34	2.05	≤0.001
Sichuan	82.65	3.50	≤0.001
Tianjin	−21.72	2.46	≤0.001
Ningxia	57.76	10.25	≤0.001
Anhui	−12.96	2.30	≤0.001
Shandong	31.09	2.07	≤0.001
Shanxi	39.99	2.74	≤0.001
Guangdong	103.77	2.95	≤0.001
Guangxi	−10.29	2.66	≤0.001
Xinjiang	11.02	2.89	≤0.001
Jiangsu	−5.69	1.95	0.004
Jiangxi	−7.98	3.03	0.009
Hebei	8.32	2.02	≤0.001
Henan	19.66	2.26	≤0.001
Zhejiang	71.60	3.38	≤0.001
Hainan	−46.77	1.93	≤0.001
Hubei	9.60	2.42	≤0.001
Hunan	19.80	2.71	≤0.001
Gansu	−35.43	2.02	≤0.001
Gujian	26.39	3.54	≤0.001
Guizhou	220.59	12.52	≤0.001
Liaoning	−8.40	2.01	≤0.001
Chongqing	−10.25	2.73	≤0.001
Shaanxi	−16.14	2.31	≤0.001
Qinghai	−44.93	1.91	≤0.001
Heilongjiang	−0.97	2.48	0.690
N	630
R	0.9861
F(30, 600)	1420.9

Note. , , and denote statistical significance levels at 10%, 5%, and 1%, respectively.