How does network intermediary affect collaborative innovation? Evidence from Chinese listed companies
19 nov. 2024
À propos de cet article
Catégorie d'article: Research Papers
Publié en ligne: 19 nov. 2024
Pages: 49 - 70
Reçu: 02 août 2024
Accepté: 09 oct. 2024
DOI: https://doi.org/10.2478/jdis-2024-0030
Mots clés
© 2024 Zhiwei Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.

Figure 2.

Figure 3.

Regression results of negative binomial model_
Variable | Collaborative innovation performance | ||||||
---|---|---|---|---|---|---|---|
M1 | M2 | M3 | M4 | M5 | M6 | M7 | |
0.008 |
0.001 |
0.002 |
0.002 |
0.002 |
0.004 |
0.005 |
|
0.206 |
0.208 |
0.412 |
|||||
0.068 |
0.069 |
0.070 |
|||||
0.001 |
0.000 |
||||||
-0.005 |
-0.006 |
||||||
0.061 |
0.057 |
0.058 |
0.049 |
0.051 |
0.046 |
||
-0.011 (0.025) | -0.014 (0.024) | -0.015 |
0.126 |
0.116 |
0.110 |
||
1.099 |
1.127 |
1.106 |
0.952 |
0.931 |
1.066 |
||
2.083 |
1.887 |
1.815 |
1.830 |
0.473 |
0.492 |
0.271 |
|
5,720 | 5,720 | 5,720 | 5,720 | 5,720 | 5,720 | 5,720 | |
0.023 | 0.055 | 0.055 | 0.056 | 0.177 | 0.179 | 0.183 |
Correlation results of variables_
1.000 | |||||||
0.507 |
1.000 | ||||||
0.019 | -0.033 | 1.000 | |||||
0.371 |
0.027 | -0.056 |
1.000 | ||||
0.640 |
0.374 |
0.203 |
0.060 |
1.000 | |||
0.030 | 0.133 |
0.260 |
-0.039 |
0.106 |
1.000 | ||
0.0222 | -0.068 |
-0.279 |
0.024 | -0.081 |
-0.832 |
1.000 |
Robustness test results_
Variable | M8 | M9 | M10 | M11 | M12 | M13 | M14 |
---|---|---|---|---|---|---|---|
PR | ZNBR | PR | PR | ZNBR | ZNBR | NBR | |
-0.001*** |
0.001*** |
0.000*** |
-0.000*** |
0.004*** |
0.002*** |
0.298*** |
|
0.010*** |
0.069*** |
0.0665*** |
|||||
0.000*** |
0.000*** |
1.020e-3*** |
|||||
0.309*** |
0. 208*** |
-0.510*** |
|||||
-0.002*** |
-0.005*** |
0.297*** |
|||||
0.031*** |
0.061*** |
0.030*** |
0.030*** |
0.051*** |
0.058*** |
-0.062*** |
|
0.302*** |
-0.011 |
0.360*** |
0.306*** |
0.116*** |
-0.0151 |
0.033** |
|
2.158*** |
1.099*** |
2.617*** |
2.361*** |
0.932*** |
1.106*** |
0.497*** |
|
0.757*** |
1.887*** |
0.073*** |
0.482*** |
0.492*** |
1.830*** |
0.348*** |
|
5,720 | 5,720 | 5,720 | 5,720 | 5,720 | 5,720 | 5,720 |
Descriptive statistics of variables_
Variable | Number | Mean | Standard Deviation | MIN | MAX |
---|---|---|---|---|---|
5,720 | 29.73 | 149.42 | 1.00 | 4,181 | |
5,720 | 10.41 | 98.71 | 0.00 | 2,612 | |
5,720 | 0.32 | 0.44 | 0.00 | 1.00 | |
5,720 | 8.86 | 24.01 | 0.20 | 692.00 | |
5,720 | 3.41 | 12.84 | 0.00 | 225.00 | |
5,720 | 2.05 | 1.37 | 1.00 | 9.00 | |
5,720 | 0.73 | 0.24 | 0.17 | 1.00 |
The construction detail of collaborative networks_
Period | Firm | Patent | Ego-net | Network density | Average degree | Average length path |
---|---|---|---|---|---|---|
2008-2011 | 261 | 1,614 | 85 | 0.007 | 1.862 | 1.563 |
2009-2012 | 332 | 2,226 | 98 | 0.006 | 2.066 | 1.667 |
2010-2013 | 368 | 2,970 | 108 | 0.006 | 2.109 | 1.688 |
2011-2014 | 422 | 3,842 | 122 | 0.005 | 2.199 | 1.873 |
2012-2015 | 489 | 4,782 | 135 | 0.005 | 2.585 | 1.940 |
2013-2016 | 556 | 5,615 | 144 | 0.005 | 2.712 | 2.178 |
2014-2017 | 643 | 6,732 | 158 | 0.004 | 2.734 | 1.887 |
2015-2018 | 766 | 9,215 | 175 | 0.004 | 2.851 | 1.913 |
2016-2019 | 886 | 11,506 | 190 | 0.003 | 2.756 | 2.273 |
2017-2020 | 997 | 13,694 | 204 | 0.003 | 2.776 | 3.093 |