The Impact of Digital Economy on Industrial Carbon Emission Efficiency: Evidence from Chinese Provincial Data

Table 3

Regional heterogeneity analysis results.

	Eastern region		Central region		Central region
	Model (1)	Model (2)	Model (3)	Model (4)	Model (5)	Model (6)
Cons_	1.2476^∗∗∗	1.2642^∗∗∗	1.7224^∗∗∗	1.7788^∗∗∗	1.0524^∗∗∗	1.0257^∗∗∗
	(0.042)	(0.046)	(0.001)	(0.002)	(0.052)	(0.065)
LnDigitalit	0.2528^∗∗	0.2512^∗∗	0.0767^∗∗	0.0572^∗	−0.0048^∗∗∗	−0.0022^∗
	(0.161)	(0.174)	(0.102)	(0.105)	(0.180)	(0.181)
Lnfdiit		0.0642^∗∗∗		0.0812^∗∗		−0.0762
		(0.066)		(0.115)		(0.017)
LnInvit		0.0177^∗∗∗		0.0058^∗∗∗		0.0056^∗∗∗
		(0.007)		(0.077)		(0.006)
LnExit		−0.1250^∗∗∗		−0.0761^∗∗		0.0682^∗
		(0.027)		(0.051)		(0.052)
LnGovit		0.0002		−0.0464		−0.0524
		(0.002)		(0.001)		(0.002)
Lngdpit		−0.7146^∗∗∗		−0.0814^∗∗		0.0685
		(0.164)		(0.247)		(0.264)
AR(1)	0.0445	0.0411	0.0218	0.0041	0.0082	0.0091
AR(2)	0.1409	0.2001	0.2126	0.6802	0.1986	0.5984
Sargan	0.6626	0.4466	0.2541	0.4259	0.1109	0.2066

Notes. Standard errors are shown in brackets; ^∗∗∗, ^∗∗ and ^∗ respectively represent significant at 1%, 5% and 10% levels.