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 9

SYS-GMM analysis results (hypothesis 3).

	(1)	(2)	(3)
	Rdratechain of less than or equal to 25%	Rdratechain of 25%–75%	Rdratechain of larger than or equal to 75%
L.Ftfp	0.155	0.033	0.013
	(0.048)	(0.023)	(0.039)
Lnts	0.022	0.021	0.023
	(0.003)	(0.002)	(0.002)
Rdratechain	7.131	2.378	28.033
	(2.200)	(0.366)	(39.995)
Chainnumber	0.014	0.011	0.008
	(0.003)	(0.002)	(0.003)
Age	−0.081	−0.082	−0.048
	(0.031)	(0.218)	(0.062)
Roa	−2.40 − E − 04	4.65E − 04	0.003
	(1.81E − 04)	(0.001)	(0.001)
Owner	0.156	−0.026	0.127
	(0.086)	(0.041)	(0.066)
Indgrow	−0.001	0.001	−0.002
	(0.001)	(0.001)	(0.005)
Lnsize	−0.001	0.003	−0.019
	(0.021)	(0.014)	(0.023)
Lngdp	0.620	0.054	−0.088
	(0.282)	(0.154)	(0.255)
Year	Control	Control	Control
Industry	Control	Control	Control
Speed	0.971	1.061	1.072
	(0.055)	(0.029)	(0.048)
Obs#	1589	3385	1376
Firms	657	1170	567
Wald chi^2	478.31	21289.59	7808.14

Note.; ; .