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

Table 2

Dynamic panel data regression results.

	Model (1)	Model (2)	Model (3)	Model (4)	Model (5)	Model (6)
Cons_	1.051^∗∗∗ (0.035)	1.052^∗∗∗ (0.034)	1.051^∗∗∗ (0.035)	1.054^∗∗ (0.032)	1.057^∗ (0.031)	1.150^∗∗∗ (0.039)
LnDigitalit	0.114^∗∗∗ (0.005)	0.145^∗∗∗ (0.004)	0.145^∗∗∗ (0.004)	0.117^∗∗∗ (0.003)	0.120^∗∗∗ (0.001)	0.205^∗∗∗ (0.002)
Lnfdiit		0.012^∗∗ (0.000)	0.014 (0.001)	0.012^∗∗∗ (0.003)	0.015^∗ (0.000)	0.011^∗∗∗ (0.004)
LnInvit			0.052^∗∗∗ (0.115)	0.054^∗∗∗ (0.107)	0.055 (0.110)	−0.056^∗∗ (0.111)
LnExit				−0.094^∗∗ (0.051)	−0.095^∗ (0.051)	−0.101^∗∗∗ (0.050)
Lngdpit					0.135^∗∗ (0.005)	0.139^∗ (0.005)
LnGovit						0.022^∗∗∗ (0.054)
AR(1)	0.0155	0.0117	0.0154	0.0015	0.0015	0.0025
AR(2)	0.1501	0.5255	0.4045	0.5714	0.4555	0.1512
Sargan	0.2021	0.4255	0.1750	0.4015	0.2557	0.2251

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