Table 3 Regression results of economic growth and Moran’s I of 9 indicators.

	GDP	DI	HG	DP	LS	PM2.5	CE	ROD	IPR
lnx	0.20***	0.51***	−0.06***	0.26***	0.66***	−0.29**	−0.13***	0.53***	0.42***
lnx2	−0.07***	−0.19***		−0.18***	−0.26***	0.16**	−0.11***	−0.19*
lnx3				−0.09***
_cons	−2.10***	−2.39***	−2.04***	−1.71***	−2.72***	−1.56***	−1.25***	−1.68***	−3.32***
N	32	32	32	32	22	22	32	22	22
adj.R²	0.69	0.88	0.24	0.69	0.96	0.15	0.77	0.37	0.47
F	35.17	75.63	10.88	23.80	256.10	2.86	52.57	7.08	19.62
P	0.00	0.00	0.01	0.00	0.00	0.08	0.00	0.01	0.00
Curve shape	“inverted U”	“inverted U”	negative linear	“inverted N”	“inverted U”	“U”	“inverted U”	“inverted U”	positive linear
Turning points	3.98	3.90		0.16, 1.67	3.55	2.41	0.58	4.02
P(White)	0.81	0.39	0.84	0.21	0.13	0.87	0.58	0.33	0.41
P(SW)	0.09	0.08	0.83	0.83	0.23	0.07	0.53	0.001	0.30

***, ** and * represent significant at 1%, 5% and 10% levels, respectively. The unit of the turning points is 10,000 yuan. P (White) ≥ 0.01 implies that the model does not exhibit heteroscedasticity. P (SW) ≥ 0.01 indicates that the residuals can be considered normally distributed.

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