Why Is Collaborative Agglomeration of Innovation so Important for Improving Regional Innovation Capabilities? A Perspective Based on Collaborative Agglomeration of Industry-University-Research Institution
Table 9
Results of robustness test.
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
PA
RNP
PA
RNP
PA
RNP
PA
RNP
CO
1.95 (2.91)
−1.50 (−2.02)
4.39 (3.90)
−4.26 (−3.28)
6.95 (5.94)
−2.21 (−1.95)
1.89 (2.84)
−2.21 (−3.14)
CO2
−1.46 (−2.82)
1.02 (1.77)
−2.91 (−3.51)
3.34 (3.49)
−4.87 (−5.62)
1.76 (2.11)
−1.39 (−2.72)
1.65 (3.05)
HUM
−0.01 (−2.07)
8.00E − 04 (0.10)
−0.01 (−1.90)
−1.60E − 03 (−0.22)
−37.77 (−1.79)
−2.07 (−0.10)
−0.02 (−3.02)
−1.10E − 03 (−0.14)
HUM2
7.00E − 04 (1.9602)
−1.00E − 04 (−0.28)
6.00E − 04 (1.87)
1.00E − 04 (0.18)
5.15 (1.87)
0.18 (0.07)
1.10E − 03 (3.08)
−1.00E − 04 (−0.25)
HUM3
−7.00E − 06 (−1.59)
3.00E − 06 (0.67)
−6.00E − 06 (−1.51)
−1.00E − 06 (−0.02)
−0.23 (−1.94)
−3.70E − 03 (−0.03)
−1.20E − 05 (−2.71)
4.00E − 06 (0.77)
BASE
−0.24 (−0.38)
1.03 (1.45)
0.12 (0.20)
0.91 (1.28)
−0.90 (−1.63)
1.01 (1.89)
0.26 (0.40)
0.35 (0.50)
GOV
1.16 (1.72)
2.40 (3.21)
0.97 (1.57)
2.76 (3.90)
1.82 (2.62)
3.12 (4.68)
0.98 (1.47)
2.90 (4.12)
IND
0.07 (0.22)
0.44 (1.26)
0.18 (0.61)
0.66 (1.89)
0.88 (2.24)
1.08 (2.86)
0.52 (1.50)
0.58 (1.58)
OPE
0.04 (1.23)
−0.06 (−1.47)
0.04 (1.46)
−0.06 (−1.68)
0.05 (1.98)
−0.05 (−2.04)
0.04 (1.11)
−0.05 (−1.42)
WCO
2.02 (1.30)
−1.00 (−0.59)
0.77 (0.31)
−2.13 (−0.77)
10.30 (1.16)
16.65 (1.95)
−1.09 (−0.73)
−0.07 (−0.05)
WCO2
−1.11 (−0.94)
0.93 (0.72)
−0.21 (−0.12)
1.52 (0.75)
−9.44 (−1.52)
−11.81 (−1.98)
1.18 (1.02)
0.06 (0.05)
WHUM
0.09 (5.03)
3.80E − 03 (0.20)
0.07 (4.76)
0.01 (0.82)
−41.54 (−0.13)
−147.62 (−0.48)
0.10 (5.66)
−2.30E − 03 (−0.13)
WHUM2
−4.30E − 03 (−4.9614)
−3.80E − 05 (−0.04)
−3.90E − 03 (−5.07)
−1.00E − 04 (−0.61)
7.28 (0.18)
16.48 (0.42)
−4.90E − 03 (−5.63)
3.00E − 04 (0.41)
WHUM3
1.00E − 04 (4.77)
−3.00E − 06 (−0.27)
1.00E − 04 (5.16)
2.00E − 06 (0.17)
−0.40 (−0.23)
−0.60 (−0.36)
6.10E − 05 (5.48)
−1.00E − 05 (−0.88)
WBASE
1.91 (1.37)
0.01 (0.01)
2.17 (1.65)
1.25 (0.83)
−4.35 (−0.97)
7.25 (1.66)
1.91 (1.36)
1.54 (1.03)
WGOV
1.21 (0.85)
1.31 (0.80)
1.22 (1.01)
1.21 (0.85)
−0.01 (−2.70E − 03)
6.11 (1.36)
0.22 (0.17)
0.22 (0.15)
WIND
−0.85 (−1.06)
0.90 (1.01)
0.35 (0.37)
−0.81 (−0.75)
6.50 (1.66)
7.33 (1.94)
−0.93 (−0.93)
0.39 (0.36)
WOPE
−0.08 (−1.14)
−0.07 (−0.93)
−0.12 (−2.39)
−2.00E − 03 (−0.03)
−0.20 (−0.70)
0.07 (0.25)
−0.12 (−2.06)
−5.80E − 03 (−0.10)
Wdep.var.
0.22 (2.19)
−0.10 (−0.81)
0.25 (2.66)
−0.19 (−1.41)
2.00E − 03 (0.01)
−0.87 (−3.40)
0.27 (2.70)
−0.12 (−0.87)
Fixed time
Y
Y
Y
Y
Y
Y
Y
Y
Fixed region
Y
Y
Y
Y
Y
Y
Y
Y
Observations
210
210
210
210
210
210
180
180
Log-likelihood
453.05
446.90
463.07
453.82
451.61
452.85
395.87
401.82
R2
0.92
0.93
0.93
0.93
0.91
0.94
0.92
0.94
Sigma2
7.00E − 04
9.00E − 04
6.00E − 04
8.00E − 04
8.00E − 04
7.00E − 04
6.00E − 04
7.00E − 04
LR_lag
33.02
10.33
35.86
14.84
21.94
11.29
38.67
16.99
Wald_lag
27.53
7.83
28.77
12.15
17.85
14.63
31.62
13.74
LR_error
36.17
10.06
39.69
14.22
21.00
7.61
38.80
17.47
Wald_error
28.61
8.01
29.94
11.25
18.27
12.06
28.60
12.83
Hausman
−47.66
−16.92
−74.93
−8.14
−62.07
−60.87
−60.93
−37.66
Note.,, and are statistically significant at the 10%, 5%, and 1% levels, respectively. The t-statistic is in parentheses.
