Study on the Drivers of Inclusive Green Growth in China Based on the Digital Economy Represented by the Internet of Things (IoT)

Table 5

Regress results of econometric model.

	(1)	(2)	(3)	(4)
fd	IGGE	IGGE	IGGE	IGGE
	0.10255	−0.00268	−0.00510	−0.01047
house	(0.02058)	(0.03357)	(0.03307)	(0.03655)
	−0.66550	−0.10662	0.07403	0.18944
fdi	(0.35987)	(0.71390)	(0.71890)	(0.71512)
	0.36708	−0.19696	−0.16819	0.03019
inter	(0.12049)	(0.14908)	(0.12084)	(0.13818)
	6.41212	6.28739	2.38029	3.64882
gove	(0.72481)	(0.88386)	(0.74432)	(0.78199)
	−0.21927	0.11191	0.02886	0.00788
innovation	(0.18355)	(0.13443)	(0.13956)	(0.14145)
	0.01254	0.01155	0.03034	0.04056
lnpop	(0.01051)	(0.02187)	(0.02649)	(0.02939)
	−5.35827	−8.64793	−13.55774	−6.19101
enterp	(0.33908)	(3.30041)	(3.26264)	(0.96659)
	0.00860	0.00553	0.00299	0.00409
ind	(0.00145)	(0.00154)	(0.00147)	(0.00160)
	1.85708	2.18074	0.71279	1.15808
pgdp	(0.14347)	(0.27736)	(0.26190)	(0.28270)
	0.00005	0.00002	0.00000	0.00001
N	(0.00000)	(0.00001)	(0.00000)	(0.00000)
	4496.00000	4496.00000	4496.00000	4496.00000
R^2	0.52351	0.38342	0.47507	0.4621
City fixed	Yes	No	Yes	No
Year fixed	Yes	Yes	No	No

Note: , , and denote significance at the 1%, 5%, and 10% level, respectively. Robust standard errors in parentheses are clustered by city-level.