Do CEO Rhetorical Strategies Affect Corporate Social Performance? Evidence from China
Abstract
:1. Introduction
2. Theory and Hypotheses
2.1. Affective Appeals: Creating a Pathos
2.2. Credibility Appeals: Creating an Ethos
2.3. Rational Appeals: Creating a Logos
3. Research Methodology
3.1. Data and Sample
3.2. Measurements
3.2.1. Dependent Variables
3.2.2. Independent Variables
3.2.3. Control Variables
3.3. Estimation Method
4. Results
4.1. Descriptive Statistics and Correlation Analysis
4.2. Multi-Model Regression Analysis
4.2.1. First-Stage Rhetoric Choice Estimates
4.2.2. Second-Stage CSP Estimates
5. Discussion
5.1. Contributions
5.2. Limitations and Future Research Directions
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Category | Explanations | Examples |
---|---|---|
Pathos | Adopt emotionally appealing text to impress investors with strong emotions by using poems, exclamations, parallelism, metaphor, and so on. | “Haier should make due contributions to society and human beings. As long as our love for society and human beings is sincere forever, society will also recognize us forever, and Haier will be as eternal as the sea.” (Haier, 2016) “Fulfilling social responsibility is the obligation and mission of an enterprise. If the development of an enterprise is separated from society, it will … lose the competitiveness of sustainable development.” (JOEONE, 2015) |
Ethos | Highlight the speaker’s authority, professionalism, and honor by showing awards, rankings, and professional certifications. | “Based on our advantages and characteristics, Bright Dairy research institute has presided over and undertaken 56 national-, provincial-, and ministerial-level projects, such as the “973”, “863” science and technology support plan. In 2015, Bright Dairy applied for 102 invention patents, obtained 76 authorization of invention patents, published 20 Science Citation Index articles, and won 7 awards.” (Bright Dairy, 2015) |
Logos | Convince the audiences with rigorous statements to gain support by using logical words, such as “in favor of”, “therefore”, and “only if”. | “Society is the foundation of an enterprise. As a social citizen, an enterprise must integrate into social groups, take social responsibilities, and positively interact with various social organizations and individuals. Only by integrating social responsibility into corporate culture and transforming it into corporate values and business philosophy, can it create a better social atmosphere for the development of the enterprise and maintain its vitality for long-term sustainable development.” (Shan Shan, 2014) |
Category | Variables | Symbol | Meaning |
---|---|---|---|
Dependent Variable | Corporate Social Performance Score | Score | The comprehensive score of the Hexun CSR index. |
Independent Variables | Pathos strategy | Pathos | Use deep emotions to create empathy, assign 1; otherwise, assign 0 |
Ethos strategy | Ethos | Show you are credible and trustworthy, assign 1; otherwise, assign 0 | |
Logos strategy | Logos | Prove your views by logical deduction, assign 1; otherwise, assign 0 | |
Control Variables | CEO age | Age | Sample year − year of birth |
CEO education | EDU | 1 = special secondary school and below; 2 = junior college; 3 = bachelor’s degree; 4 = master’s degree; and 5 = doctorate | |
CEO tenure | Tenure | The number of months that the CEO has served in the company | |
Duality | Duality | When CEO is also chairman, assign 1; otherwise, assign 0 | |
Overseas Background | Overseas | When CEO has an overseas background, assign 1; otherwise, assign 0 | |
Government background | FGO | When CEO has a government background, assign 1; otherwise, assign 0 | |
Current rate | CR | Current assets/current liabilities | |
Leverage | LEV | Liabilities/assets | |
Return on assets | ROA | Net profit/total assets | |
Firm size | Firm Size | Natural logarithm of total assets | |
Firm age | Firm Age | Sample year − year of initial public offering | |
State Ownership | SOE | If the firm is state-owned, assign 1; otherwise, assign 0 |
Variables | Mean | S.D. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|---|---|
1. Rhetoric choice dummy | 0.89 | 0.313 | ||||||||
2. Age | 50.535 | 5.993 | 0.007 | |||||||
3. EDU | 3.622 | 0.827 | 0.049 | −0.020 | ||||||
4. Tenure | 57.711 | 46.075 | 0.091 * | 0.292 *** | 0.002 | |||||
5. Duality | 0.219 | 0.414 | 0.008 | 0.311 *** | 0.132 *** | 0.237 *** | ||||
6. Oversea | 0.062 | 0.242 | 0.019 | 0.046 | 0.111 ** | 0.113 ** | 0.066 | |||
7. FGO | 0.149 | 0.356 | −0.036 | 0.156 *** | 0.081 * | 0.243 *** | 0.385 *** | 0.097 ** | ||
8. l_roa | 0.046 | 0.061 | 0.145 *** | 0.042 | 0.002 | 0.178 *** | 0.151 *** | −0.031 | 0.134 *** | |
9. l_score | 37.426 | 23.036 | −0.049 | 0.036 | −0.034 | 0.118 ** | 0.153 *** | 0.030 | 0.038 | 0.271 *** |
Variables | Mean | S.D. | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
1. Score | 35.899 | 22.42 | |||||||
2. Pathos | 0.364 | 0.481 | 0.254 *** | ||||||
3. Ethos | 0.983 | 0.128 | 0.068 | −0.049 | |||||
4. Logos | 0.294 | 0.456 | 0.169 *** | 0.124 ** | −0.046 | ||||
5. Age | 50.549 | 5.897 | −0.011 | 0.042 | 0.063 | −0.003 | |||
6. EDU | 3.636 | 0.832 | −0.042 | −0.004 | 0.086 * | −0.019 | −0.015 | ||
7. Tenure | 59.189 | 46.658 | 0.025 | 0.032 | 0.025 | 0.028 | 0.287 *** | 0.004 | |
8. Duality | 0.221 | 0.415 | 0.076 | 0.086 * | 0.069 | −0.021 | 0.310 *** | 0.149 *** | 0.225 *** |
9. Overseas | 0.064 | 0.245 | −0.018 | 0.009 | 0.034 | 0.023 | 0.052 | 0.107 ** | 0.115 ** |
10. FGO | 0.145 | 0.352 | 0.028 | 0.049 | 0.020 | −0.028 | 0.131 *** | 0.107 ** | 0.221 *** |
11. CR | 2.145 | 2.569 | 0.103 ** | −0.019 | 0.020 | −0.035 | 0.040 | 0.025 | 0.105 ** |
12. LEV | 0.465 | 0.200 | −0.228 *** | −0.013 | −0.052 | −0.027 | 0.075 | 0.026 | −0.082 * |
13. ROA | 0.046 | 0.059 | 0.236 *** | 0.152 *** | 0.012 | 0.055 | 0.042 | 0.014 | 0.158 *** |
14. Firm Size | 23.083 | 1.296 | −0.034 | 0.124 ** | 0.041 | −0.003 | 0.134 *** | 0.174 *** | 0.002 |
15. Firm Age | 12.916 | 5.705 | −0.110 ** | −0.041 | 0.021 | −0.023 | 0.048 | 0.005 | −0.001 |
16. SOE | 0.594 | 0.492 | −0.121 ** | −0.076 | 0.037 | −0.072 | 0.138 *** | 0.104 ** | −0.168 *** |
17. λ | 0.198 | 0.111 | −0.176 *** | −0.048 | −0.140 *** | −0.124 ** | −0.031 | −0.198 *** | −0.418 *** |
Variables | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
9. Overseas | 0.086 * | ||||||||
10. FGO | 0.355 *** | 0.123 ** | |||||||
11. CR | 0.124 ** | −0.057 | 0.053 | ||||||
12. LEV | −0.117 ** | 0.102 ** | −0.068 | −0.605 *** | |||||
13. ROA | 0.171 *** | −0.040 | 0.121 ** | 0.272 *** | −0.510 *** | ||||
14. Firm Size | −0.039 | 0.069 | −0.005 | −0.320 *** | 0.503 *** | −0.056 | |||
15. Firm Age | −0.190 *** | −0.030 | −0.221 *** | −0.095 * | 0.161 *** | −0.148 *** | 0.231 *** | ||
16. SOE | −0.344 *** | −0.024 | −0.268 *** | −0.081 * | 0.185 *** | −0.244 *** | 0.200 *** | 0.413 *** | |
17. λ | −0.052 | −0.050 | 0.162 *** | −0.124 ** | 0.260 *** | −0.365 *** | 0.012 | 0.038 | 0.092 * |
Independent Variables | Model 1 | Model 2 |
---|---|---|
Age | −0.001 | −0.001 |
(0.002) | (0.002) | |
EDU | 0.019 | 0.018 |
(0.014) | (0.013) | |
Tenure | 0.001 * | 0.001 * |
(0.000) | (0.000) | |
Duality | −0.002 | 0.007 |
(0.032) | (0.031) | |
Overseas | 0.011 | 0.012 |
(0.044) | (0.043) | |
FGO | −0.085 * | −0.092 * |
(0.047) | (0.048) | |
l_roa | 0.702 *** | 0.801 *** |
(0.181) | (0.183) | |
l_score | −0.001 * | |
(0.000) | ||
Log likelihood (LL) | −241.971 | −238.655 |
Deviance (−2LL or χ2 change vs. Model 1) | 6.63 *** |
Variables | Model1 | Model2 | Model3 | Model4 | Model5 |
---|---|---|---|---|---|
Age | 0.111 (0.451) | 0.135 (0.431) | 0.117 (0.450) | 0.098 (0.442) | 0.131 (0.422) |
EDU | −0.042 (3.255) | −0.033 (3.108) | −0.035 (3.250) | −0.010 (3.196) | 0.004 (3.044) |
Tenure | −0.490 *** (0.058) | −0.491 *** (0.055) | −0.479 *** (0.058) | −0.473 *** (0.057) | −0.460 *** (0.054) |
Duality | −0.114 (5.968) | −0.106 (5.697) | −0.116 (5.955) | −0.071 (5.873) | −0.070 (5.591) |
Oversea | 0.001 (8.381) | −0.010 (8.002) | −0.007 (8.374) | 0.001 (8.212) | −0.019 (7.830) |
FGO | 0.032 (5.979) | 0.017 (5.710) | 0.022 (5.979) | 0.039 (5.859) | 0.010 (5.593) |
CR | −0.075 (1.191) | −0.067 (1.137) | −0.066 (1.189) | −0.020 (1.172) | −0.006 (1.117) |
LEV | −0.405 * (20.758) | −0.404 * (19.815) | −0.383 * (20.769) | −0.384 * (20.347) | −0.355 * (19.422) |
ROA | −0.249 * (37.221) | −0.218 * (35.577) | −0.247 * (37.147) | −0.237 * (36.485) | −0.205 * (34.784) |
firmsize | −0.949 * (6.876) | −0.980 * (6.564) | −0.974 * (6.866) | −0.879 * (6.743) | −0.951 * (6.425) |
firmage | −0.725 * (1.402) | −0.546 (1.343) | −0.760 * (1.402) | −0.697 * (1.374) | −0.572 (1.315) |
SOE | −0.011 (18.564) | 0.183 (17.775) | −0.001 (18.527) | 0.172 (18.295) | 0.356 (17.464) |
pathos | 0.337 *** (2.467) | 0.331 *** (2.428) | |||
ethos | 0.080 (8.499) | 0.109 * (7.977) | |||
logos | 0.206 *** (2.402) | 0.184 *** (2.295) | |||
λ | −0.278 *** (13.355) | −0.278 *** (12.749) | −0.255 *** (13.625) | −0.255 *** (13.133) | −0.226 *** (12.786) |
F value | 6.75 *** | 9.76 *** | 6.49 *** | 7.80 *** | 10.26 *** |
R2 | 0.178 | 0.253 | 0.184 | 0.213 | 0.290 |
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Liu, C.; Chen, S.; Shao, Q. Do CEO Rhetorical Strategies Affect Corporate Social Performance? Evidence from China. Sustainability 2019, 11, 4907. https://doi.org/10.3390/su11184907
Liu C, Chen S, Shao Q. Do CEO Rhetorical Strategies Affect Corporate Social Performance? Evidence from China. Sustainability. 2019; 11(18):4907. https://doi.org/10.3390/su11184907
Chicago/Turabian StyleLiu, Chang, Shouming Chen, and Qiuyue Shao. 2019. "Do CEO Rhetorical Strategies Affect Corporate Social Performance? Evidence from China" Sustainability 11, no. 18: 4907. https://doi.org/10.3390/su11184907
APA StyleLiu, C., Chen, S., & Shao, Q. (2019). Do CEO Rhetorical Strategies Affect Corporate Social Performance? Evidence from China. Sustainability, 11(18), 4907. https://doi.org/10.3390/su11184907