Research on the Influence Mechanism of the Across-Industrial-Chain Investment Speed on Innovation Performance of AI Enterprises: Improvement Path of Artificial Intelligence Technology Application

Table 7

SYS-GMM Analysis results (hypothesis 2).

	(1)	(2)	(3)
	Lnts of less than or equal to 25%	Lnts of 25%–75%	Lnts of larger than or equal to 75%
L.Ftfp	0.187	0.043	0.071
	(0.047)	(0.025)	(0.037)
Lnts	0.021	0.018	0.024
	(0.003)	(0.002)	(0.002)
Rdratechain	0.513	2.336	2.517
	(0.726)	(0.353)	(0.588)
Chainnumber	0.013	0.005	0.012
	(0.003)	(0.002)	(0.002)
Age	−0.269	−0.185	−0.042
	(0.477)	(0.208)	(0.034)
Roa	−0.001	0.001	−2.00E − 04
	(0.002)	(4.93E − 04)	(1.63E − 04)
Owner	0.036	0.029	0.034
	(0.090)	(0.043)	(0.054)
Indgrow	0.001	2.62E − 04	2.66E − 04
	(0.001)	(0.001)	(0.001)
Lnsize	−0.017	0.005	−0.004
	(0.033)	(0.013)	(0.017)
Lngdp	0.182	0.146	0.205
	(0.319)	(0.170)	(0.199)
Year	Control	Control	Control
Industry	Control	Control	Control
Speed	0.433	1.244	1.392
	(0.049)	(0.031)	(0.046)
Obs#	1192	3389	1769
Firms	504	1190	760
Wald chi2	4179.63	21220.3	1258.27

Note.; ; .