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How does network intermediary affect collaborative innovation? Evidence from Chinese listed companies

Zhiwei Zhang

Zhiwei Zhang

College of Business Administration, Capital University of Economics and BusinessBeijing, China
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Zhang, Zhiwei
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Wenhao Zhou

Wenhao Zhou

College of Business Administration, Huaqiao UniversityQuanzhou, China
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Zhou, Wenhao
  
Nov 19, 2024
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Article Category: Research Papers
Published Online: Nov 19, 2024
Page range: 49 - 70
Received: Aug 02, 2024
Accepted: Oct 09, 2024
DOI: https://doi.org/10.2478/jdis-2024-0030
Keywords
© 2024 Zhiwei Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

The theoretical framework of the research.
The theoretical framework of the research.

Figure 2.

The moderating effect of clustering coefficient.
The moderating effect of clustering coefficient.

Figure 3.

The moderating effect of relationship strength.
The moderating effect of relationship strength.

Regression results of negative binomial model_

Variable Collaborative innovation performance
M1 M2 M3 M4 M5 M6 M7
BC 0.008*** (0.001) 0.001*** (0.000) 0.002*** (0.000) 0.002*** (0.000) 0.002*** (0.000) 0.004*** (0.000) 0.005*** (0.000)
CL 0.206*** (0.049) 0.208*** (0.049) 0.412*** (0.000)
ST 0.068*** (0.001) 0.069*** (0.001) 0.070*** (0.000)
BC×ST 0.001*** (0.000) 0.000*** (0.000)
BC×CL -0.005*** (0.002) -0.006*** (0.000)
TR 0.061*** (0.002) 0.057*** (0.003) 0.058*** -0.003 0.049*** (0.001) 0.051*** (0.001) 0.046*** (0.000)
EC -0.011 (0.025) -0.014 (0.024) -0.015*** (0.024) 0.126*** (0.019) 0.116*** (0.018) 0.110*** (0.000)
CC 1.099*** (0.140) 1.127*** (0.139) 1.106*** (0.139) 0.952*** (0.102) 0.931*** (0.102) 1.066*** (0.000)
Constant 2.083*** (0.021) 1.887*** (0.146) 1.815*** (0.146) 1.830*** (0.146) 0.473*** (0.109) 0.492*** (0.000) 0.271** (0.012)
N 5,720 5,720 5,720 5,720 5,720 5,720 5,720
R2 0.023 0.055 0.055 0.056 0.177 0.179 0.183

Correlation results of variables_

PE BC CL ST TR EC CC
PE 1.000
BC 0.507* 1.000
CL 0.019 -0.033 1.000
ST 0.371* 0.027 -0.056* 1.000
TR 0.640* 0.374* 0.203* 0.060* 1.000
EC 0.030 0.133* 0.260* -0.039* 0.106* 1.000
CC 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
BC -0.001***(0.000) 0.001***(0.000) 0.000***(0.000) -0.000***(0.000) 0.004***(0.000) 0.002***(0.000) 0.298***(0.000)
ST 0.010***(0.000) 0.069***(0.000) 0.0665***(0.000)
BC×ST 0.000***(0.000) 0.000***(0.000) 1.020e-3***(0.000)
CL 0.309***(0.000) 0. 208***(0.000) -0.510***(0.000)
BC×CL -0.002***(0.000) -0.005***(0.006) 0.297***(0.000)
TR 0.031***(0.000) 0.061***(0.002) 0.030***(0.000) 0.030***(0.000) 0.051***(0.000) 0.058***(0.000) -0.062***(0.000)
EC 0.302***(0.000) -0.011(0.024) 0.360***(0.000) 0.306***(0.000) 0.116***(0.000) -0.0151(0.536) 0.033**(0.037)
CC 2.158***(0.000) 1.099***(0.140) 2.617***(0.000) 2.361***(0.000) 0.932***(0.000) 1.106***(0.000) 0.497***(0.000)
Constant 0.757***(0.000) 1.887***(0.146) 0.073***(0.001) 0.482***(0.000) 0.492***(0.000) 1.830***(0.000) 0.348***(0.000)
N 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
PE 5,720 29.73 149.42 1.00 4,181
BC 5,720 10.41 98.71 0.00 2,612
CL 5,720 0.32 0.44 0.00 1.00
ST 5,720 8.86 24.01 0.20 692.00
TR 5,720 3.41 12.84 0.00 225.00
EC 5,720 2.05 1.37 1.00 9.00
CC 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
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