Table 2.

The negative binomial regression for technological innovation performance.

	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6	Model 7
R&D intensity	0.009	0.006	0.006	0.005	0.002	0.005	0.002
Size	−0.150*	−0.122	−0.125	−0.131	−0.133	−0.044	−0.034
Age	0.044**	0.073***	0.078***	0.073***	0.080***	0.055**	0.059**
SOE	0.283	0.301	0.311	0.315	0.388*	0.270	0.352
R&D subsidy	−0.013	−0.050	−0.051	−0.054	−0.049	−0.047	−0.044
Export	0.432***	0.359***	0.369***	0.355***	0.271**	0.360***	0.274***
ROA	1.785***	1.515**	1.320**	1.377**	0.900	1.230*	0.823
Leverage	−0.357	−0.118	−0.095	−0.140	−0.216	−0.075	−0.166
Degree centrality		0.152 **		0.136*	0.165*	0.177**	0.228**
Degree centrality squared		−0.007 *		−0.006	−0.020**	−0.007*	−0.029***
Structural holes			0.095 **	0.088*	0.055	0.079*	0.040
Scientific collaboration strength					0.012		0.053
Degree centrality × scientific collaboration strength					0.290 **		0.361**
Degree centrality squared × Scientific collaboration strength					-0.033 *		−0.047**
Patent stock						−0.414***	−0.477***
Structural holes × Patent stock						0.177 **	0.234***
Constant	3.514**	3.352*	3.360*	3.606**	3.811**	1.829	1.962
Industry	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Year	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Region	Yes	Yes	Yes	Yes	Yes	Yes	Yes
No. of firms	160	135	135	135	130	135	130
No. of observation	1,161	924	924	924	881	924	881
Log likelihood	−2, 067.830	−1, 743.275	−1, 742.851	−1, 741.334	−1, 646.798	−1, 729.053	−1, 632.492
Prob > chi2	0.000	0.000	0.000	0.000	0.000	0.000	0.000

*p < 0.1, **p < 0.05, ***p < 0.01. Due to missing data, the number of firms differs across models.