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

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

By: Zhiwei Zhang and  Wenhao Zhou  
Open Access
|Nov 2024

Figures & Tables

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_

VariableCollaborative innovation performance
M1M2M3M4M5M6M7
BC0.008*** (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*** -0.0030.049*** (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)
Constant2.083*** (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)
N5,7205,7205,7205,7205,7205,7205,720
R20.0230.0550.0550.0560.1770.1790.183

Correlation results of variables_

PEBCCLSTTRECCC
PE1.000
BC0.507*1.000
CL0.019-0.0331.000
ST0.371*0.027-0.056*1.000
TR0.640*0.374*0.203*0.060*1.000
EC0.0300.133*0.260*-0.039*0.106*1.000
CC0.0222-0.068*-0.279*0.024-0.081*-0.832*1.000

Robustness test results_

VariableM8M9M10M11M12M13M14
PRZNBRPRPRZNBRZNBRNBR
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)
TR0.031***(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)
EC0.302***(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)
CC2.158***(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)
Constant0.757***(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)
N5,7205,7205,7205,7205,7205,7205,720

Descriptive statistics of variables_

VariableNumberMeanStandard DeviationMINMAX
PE5,72029.73149.421.004,181
BC5,72010.4198.710.002,612
CL5,7200.320.440.001.00
ST5,7208.8624.010.20692.00
TR5,7203.4112.840.00225.00
EC5,7202.051.371.009.00
CC5,7200.730.240.171.00

The construction detail of collaborative networks_

PeriodFirmPatentEgo-netNetwork densityAverage degreeAverage length path
2008-20112611,614850.0071.8621.563
2009-20123322,226980.0062.0661.667
2010-20133682,9701080.0062.1091.688
2011-20144223,8421220.0052.1991.873
2012-20154894,7821350.0052.5851.940
2013-20165565,6151440.0052.7122.178
2014-20176436,7321580.0042.7341.887
2015-20187669,2151750.0042.8511.913
2016-201988611,5061900.0032.7562.273
2017-202099713,6942040.0032.7763.093
DOI: https://doi.org/10.2478/jdis-2024-0030 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 49 - 70
Submitted on: Aug 2, 2024
Accepted on: Oct 9, 2024
Published on: Nov 19, 2024
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Zhiwei Zhang, Wenhao Zhou, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.