Research Article

Innovation Facilitated by Universities: Balancing Enterprise and Regional Demands

Table 3

Preliminary analysis and test of enterprise model.

VariablesModel 1-1 OLSModel 1-2 Poisson panel (RE)Model 1-3 Poisson panel (RE)Model 1-4 Poisson panel (RE)Model 1-5 Poisson panel (RE)

Coefficients of the difference in quality between universities14.400
(5.005)
20.439
(5.915)
28.535
(5.401)
27.135
(6.247)
27.203
(6.120)
Square of the coefficients of the difference in quality between universities−7.551
(3.648)
−11.987
(4.253)
−19.200
(3.899)
−18.108
(4.465)
−18.201
(4.381)
Proportion of enterprise development expenditure in general closing assets6.003
(0.414)
5.329
(0.512)
5.337
(0.512)
Proportion of the personnel on R&D positions in the enterprise0.426 (0.028)0.367 (0.029)0.350 (0.029)
Proportion of the graduates of “211 Project” and “985 Project” key universities in senior executives in the enterprise0.144
(0.054)
0.359
(0.055)
0.372
(0.055)
Per-capita GDP of the province where the enterprise is located0.277
(0.004)
0.277
(0.004)
The turnover of the patents in the province (provincial-level city or autonomous region where the enterprise is located)−0.094
(0.032)
−0.119
(0.032)
Number of years after the enterprise went public−0.008
(0.007)
Registered capital of the enterprise−0.678
(0.180)
Cons−2.592
(0.971)
−5.433
(2.059)
−8.360
(1.875)
−8.731
(2.193)
−8.471
(2.148)
N1619316193146471463814638
Wald chi27.46254.64492.545197.858451.83
P0.024≤0.001≤0.001≤0.001≤0.001

Note. 1. The values outside and inside the parentheses represent estimated coefficients and standard errors, respectively;, , and represent significance levels of 1%, 5%, and 10%, respectively. 2. Limited by page width, the text description of explanatory variables and control variables is not listed. The specific comparison is shown in Table 1.