An Empirical Analysis on the Impact of Innovation Network Structure on Crossover Innovation Performance of Emerging Technologies

Table 7

Results of negative binomial regression analysis for crossover innovation performance.

Variable	Crossover innovation performance (InnoP)
	M1	M2	M3	M4	M5	M6
Explanatory variable
Degree centrality (NRD)		0.387; (0.178)				0.303; (0.179)
Structural hole (SH)			0.057; (0.024)			0.043; (0.024)
Relationship intensity (NS)				0.012; (0.003)		0.011; (0.003)
Network clustering (NC)					−0.006; (0.002)	−0.005; (0.002)
Control variable
Technological resource type (TRT)	0.120; (0.003)	0.119; (0.003)	0.117; (0.003)	0.115; (0.003)	0.120; (0.003)	0.112; (0.003)
Year (NY)	0.065; (0.010)	0.084; (0.013)	0.065; (0.010)	0.068; (0.010)	0.066; (0.010)	0.083; (0.013)
C	−131.6; (19.32)	−169.5; (26.08)	−130.3; (19.32)	−137.5; (19.40)	−132.1; (19.36)	−166.4; (26.14)
α	0.262	0.259	0.260	0.256	0.262	0.253
Log likelihood	−2437.456	−2435.099	−2434.580	−2429.937	−2437.369	−2426.404
LR chi^2	2001.01	2005.73	2006.76	2016.05	2001.19	2023.12
Pseudo R^2	0.291	0.2917	0.2919	0.2932	0.2916	0.2942
Likelihood-ratio test of α = 0	4427.52	4320.17	4419.2	3955.6	4420.27	3864.03

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