Strategy Orientation, Innovation Capacity Endowment, and International R&D Intensity of Listed Companies in China
Abstract
:1. Introduction
2. Theoretical Background and Hypothesis
2.1. Strategy Orientation and International R&D Intensity
2.2. Innovation Capacity Endowment and International R&D Intensity
2.3. Strategy Orientation and Innovation Capacity Endowment
2.4. The Mediating Role of Innovation Capacity Endowment
3. Design
3.1. Sample Selection
3.2. Variable Setting and Data Source
3.2.1. International R&D Intensity
3.2.2. Strategy Orientation
3.2.3. Innovative Capacity Endowment
3.2.4. Control Variables
3.3. Model Construction
4. Empirical Results and Analysis
4.1. Descriptive Statistics of the Variable
4.2. Results & Discussions
4.2.1. Direct Effects
4.2.2. The Mediating Effect
4.2.3. Robustness Test
5. Conclusions and Suggestion
5.1. Conclusions
5.2. Policy Suggestions
Author Contributions
Funding
Conflicts of Interest
References
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Category | Variable | Symbol | Variable Description | Literature Basis |
---|---|---|---|---|
Dependent variable | International R&D intensity | ORD | ORD = Number of companies’ international R&D institutions | Chen Yantai (2016) |
Independent variable | Strategic market orientation | MO | MO = Marketing Expenses/Total Sales | Thomas et al. (1991) and Qin (2012) |
Strategic technology orientation | TO | TO = R&D investment/total sales | Thomas et al. (1991) and Qin (2012) | |
Mediator variable | Innovation capacity endowment | IC | IC = Enterprise R&D staff/Total staff | Zhang (2014), Pan, etc. (2015) |
Moderator | International experience | EXP | EXP = Internationalized operating income/operating income | Sambharya, R.B (1996), Song, Li(2010) |
Control variable | Enterprise scale | SIZE | SIZE = ln (the total assets of the company at the end of each year) | Hsu et al. (2015) and Li et al. (2016) |
Enterprise age | AGE | AGE = ln (2015-the establishment date of the enterprise) | Hsu et al. (2015) and Li et al. (2016) | |
Ownership | STATE | State-owned enterprises = 1; Non-state-owned enterprises = 0 | Hsu et al. (2015) and Li et al. (2016) | |
Equity concentration | CR | CR = shareholding ratio of the largest shareholder | FaccioM, Lang (2002), Zhang, Lv (2017) | |
Category | Variable | Symbol | Variable description | Literature basis |
Dependent variable | International R&D intensity | ORD | ORD = Number of companies’ international R&D institutions | Chen (2016) |
Independent variable | Strategic market orientation | MO | MO = Marketing Expenses / Total Sales | Thomas et al. (1991) and Qin (2012) |
Strategic technology orientation | TO | TO = R&D investment/total sales | Thomas et al. (1991) and Qin (2012) | |
Mediator variable | Innovation capacity endowment | IC | IC = Enterprise R&D staff/Total staff | Zhang (2014), Pan etc. (2015) |
Moderator | International experience | EXP | EXP = Internationalized operating income/operating income | Sambharya, R.B (1996), Song, Li (2010) |
Control variable | Enterprise scale | SIZE | SIZE = ln (the total assets of the company at the end of each year) | Hsu et al. (2015) and Li et al. (2016) |
Enterprise age | AGE | AGE = ln (2015-the establishment date of the enterprise) | Hsu et al. (2015) and Li et al. (2016) | |
Ownership | STATE | State-owned enterprises = 1; Non-state-owned enterprises = 0 | Hsu et al. (2015) and Li et al. (2016) | |
Equity concentration | CR | CR = shareholding ratio of the largest shareholder | FaccioM, Lang (2002), Zhang, Lv (2017) |
Variables | Mean | Std.Dev. | VIF | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|---|---|---|
1.ORD | 1.2795 | 0.8783 | 1 | ||||||||
2.MO | 0.0905 | 0.1576 | 1.06 | −0.199 *** | 1 | ||||||
3.TO | 0.0818 | 0.0866 | 1.24 | 0.399 *** | 0.182 *** | 1 | |||||
4.IC | 0.2029 | 0.1701 | 1.30 | 0.276 *** | 0.079 | 0.355 *** | 1 | ||||
5.SIZE | 1.2324 | 0.8867 | 1.99 | −0.136 ** | −0.077 | −0.306 *** | 0.395 *** | 1 | |||
6.AGE | 1.0849 | 0.207 | 1.46 | −0.056 | 0.064 | −0.077 | −0.266 *** | 0.517 *** | 1 | ||
7.STATE | 0.1417 | 0.3495 | 1.23 | −0.038 | −0.072 | −0.044 | −0.06 | 0.392 *** | 0.160 ** | 1 | |
8.CR | 0.3835 | 0.1757 | 1.21 | 0.041 | -0.108 * | 0.071 | 0.133 ** | −0.339 *** | −0.328 *** | −0.01 | 1 |
Variable | Model 1 | Model 2 | Model 3 | Model 4 |
---|---|---|---|---|
SIZE | −0.1081 * | −0.1355 ** | −0.0038 | −0.0375 |
(0.0643) | (0.0640) | (0.0611) | (0.0596) | |
AGE | 0.01396 | 0.0306 | −0.0237 | 0.0294 |
(0.0452) | (0.039) | (0.0418) | (0.0423) | |
STATE | 0.0138 | 0.0102 | −0.0101 | −0.0068 |
(0.0355) | (0.0347) | (0.0317) | (0.0320) | |
CR | −0.0051 | −0.0259 | 0.0007 | 0.0016 |
(0.0290) | (0.0420) | (0.0343) | (0.0366) | |
MO | −0.4087 *** | |||
(0.1155) | ||||
TO | 0.6092 *** | |||
(0.0944) | ||||
IC | 0.1585 *** | |||
(0.0358) | ||||
N | 254 | 254 | 254 | 254 |
Log likelihood | −313.4671 | −309.5593 | −307.1078 | −309.4802 |
Waldchi2 | 5.02 | 18.38 | 79.30 | 23.50 |
Prob > chi2 | 0.0047 | 0.0171 | 0.0248 | 0.0003 |
Variable | Model 5: DV = ORD | Model 6: DV = IC | Model 7: DV = ORD |
---|---|---|---|
SIZE | −0.0281 | −0.2955 *** | 0.0154 |
(0.0575) | (0.0681) | (0.0515) | |
AGE | −0.0081 | −0.1168 | 0.0114 |
(0.0389) | (0.0765) | (0.0371) | |
STATE | −0.0147 | 0.0857 | −0.0296 |
(0.0298) | (0.0599) | (0.0273) | |
CR | −0.0240 | −0.0207 | −0.0178 |
(0.0365) | (0.0568) | (0.0342) | |
MO | −0.4929 *** | 0.0483 | −0.5119 *** |
(0.1255) | (0.1253) | (0.1289) | |
TO | 0.6700 *** | 1.0790 ** | 0.6028 *** |
(0.1027) | (0.5883) | (0.1040) | |
IC | - | - | 0.1296 *** |
- | - | (0.0283) | |
N | 254 | 254 | 254 |
Log likelihood/R2 | −301.7024 | 0.2330 | −299.0917 |
Wald chi2/F | 70.40 ** | 8.36 *** | 80.08 *** |
Model a | Model b | |||
---|---|---|---|---|
Market Orientation-Innovation Capacity Endowment-International R&D Intensity | Technology Orientation-Innovation Capacity Endowment-International R&D Intensity | |||
Bootstrap estimation | b | HE | b | HE |
Control variable | ||||
MO | - | - | −0.2901 | 0.0449 |
TO | 0.6984 *** | 0.0888 | - | - |
SIZE | 0.0161 | 0.0267 | 0.0161 | 0.0267 |
AGE | 0.011 | 0.0233 | 0.011 | 0.0233 |
STATE | −0.0154 | 0.0207 | −0.0154 | 0.0207 |
CR | 0.0006 | 0.0207 | 0.0006 | 0.0207 |
Path analysis | ||||
X-M | 0.0483 | 0.1316 | 1.079 *** | 2.2512 |
M-Y | 0.0837 *** | 0.0217 | 0.0837 *** | 0.0217 |
Total effect | −0.2859 *** | 0.046 | 0.7926 *** | 0.088 |
Direct effect | −0.2901 *** | 0.0449 | 0.6984 *** | 0.0888 |
Indirect effect | 0.0042 | 0.0117 | 0.0942 ** | 0.0758 |
Bootstrap 90% CI | [−0.0109,0.0273] | [0.0241,0.2652] | ||
Bootstrap 95% CI | [−0.0153,0.0314] | [0.0158,0.3101] | ||
Bootstrap 99% CI | [−0.0248,0.0421] | [−0.0072,0.4500] | ||
R2 | 0.3582 | 0.3852 |
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He, J.; Chen, H.; Tsai, F.-S. Strategy Orientation, Innovation Capacity Endowment, and International R&D Intensity of Listed Companies in China. Sustainability 2020, 12, 344. https://doi.org/10.3390/su12010344
He J, Chen H, Tsai F-S. Strategy Orientation, Innovation Capacity Endowment, and International R&D Intensity of Listed Companies in China. Sustainability. 2020; 12(1):344. https://doi.org/10.3390/su12010344
Chicago/Turabian StyleHe, Jianhong, Hongmin Chen, and Fu-Sheng Tsai. 2020. "Strategy Orientation, Innovation Capacity Endowment, and International R&D Intensity of Listed Companies in China" Sustainability 12, no. 1: 344. https://doi.org/10.3390/su12010344
APA StyleHe, J., Chen, H., & Tsai, F.-S. (2020). Strategy Orientation, Innovation Capacity Endowment, and International R&D Intensity of Listed Companies in China. Sustainability, 12(1), 344. https://doi.org/10.3390/su12010344