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 5

SYS-GMM analysis results.

	(1)	(2)	(3)
L.Ftfp	0.121	0.059	0.040
	(0.024)	(0.018)	(0.016)
Lnts	0.010	0.022	0.004
	(0.002)	(0.001)	(0.001)
Rdratechain	1.555	2.323	1.095
	(0.393)	(0.287)	(0.304)
Chainnumber	0.023	0.010	0.008
	(0.002)	(0.001)	(0.001)
Age	−0.008	0.011	0.005
	(0.014)	(0.010)	(0.009)
Roa	−2.39E − 04	−1.16E − 04	−1.31E − 04
	(2.17E − 04)	(1.57E − 04)	(1.43E − 04)
Owner	0.034	0.033	0.010
	(0.045)	(0.033)	(0.030)
Indgrow	2.12E − 04	4.78E − 04	2.91E − 04
	(0.001)	(4.04E − 04)	(3.68E − 04)
Lnsize	0.005	0.001	0.004
	(0.014)	(0.010)	(0.009)
Lngdp	0.193	0.154	0.172
	(0.157)	(0.114)	(0.104)
Year	Control	Control	Control
Industry	Control	Control	Control
Speed		1.045	−0.213
		(0.023)	(0.122)
SpeedLnts			0.129
			(0.005)
SpeedRdratechain			4.579
			(1.025)
Obs#	6350	6350	6350
Firms	1586	1586	1586
Wald chi^2	336.1	2706.56	3965.19

Note.; ; .