Board Power Hierarchy, Corporate Mission, and Green Performance
Abstract
:1. Introduction
2. Theoretical Analysis and Research Hypothesis
2.1. Board Power Hierarchy and Green Governance Conduct
2.1.1. The Influence of Board Formal Power Hierarchy on Green Governance Conduct
2.1.2. The Influence of Board Informal Power Hierarchy on Green Governance Conduct
2.2. Green Governance Conduct and Green Governance Performance
2.3. Mediating Role of Green Governance Conduct
2.4. Moderating Role of Corporate Mission
3. Research Design
3.1. Sample Selection and Data Sources
3.2. Variables and Measurement
3.2.1. Dependent Variable (GGP: Green Governance Performance)
3.2.2. Independent Variable
Board Formal Power Hierarchy (FP)
Board Informal Power Hierarchy (IP)
3.2.3. Mediating Variable (GGC: Green Governance Conduct)
3.2.4. Moderating Variable (CM: Corporate Mission)
3.2.5. Control Variables
3.3. Research Model
3.3.1. Theoretical Model of the Influence of Board Power Hierarchy on Green Governance Conduct
3.3.2. Theoretical Model of the Moderating Effect of Corporate Mission
3.3.3. Mediating Effect Model of Green Governance Conduct in Impact of Board Power Hierarchy on Green Governance Performance
4. Empirical Research and Result Analysis
4.1. Correlation Analysis of Descriptive Statistical Results
4.2. Analysis of Regression Results
4.3. Robustness Test
4.4. Further Discussion
5. Conclusions, Contributions, and Prospects
5.1. Conclusions
5.2. Contributions
5.2.1. Theoretical Contribution
5.2.2. Practical Contributions
5.3. Suggestions
5.4. Research Prospects
- (1)
- Searching for more appropriate proxy variables is suggested for future research. Referencing Jaaffar and Amran [23], we analyzed the following 10 elements of firm information disclosure: protection of the rights and interests of shareholders, employees, suppliers, customers and consumers; environment and sustainable development; public relations and social public welfare undertakings and social responsibility system construction; and the improvement measures and safety in production. We adopted a (0, 1) assignment method to indirectly measure the green governance conduct of the BOD. The best measurement of conduct is directly measuring the decision-making process of the BOD on green governance, or choosing outcome variables reflecting the board’s decisions about green strategy. For the former option, directly measuring the decision-making process of the BOD with a large sample is difficult as it requires participation during board meetings or questionnaire surveys, but it is still an alternative plan. For the latter, the outcomes of the board’s green governance decisions require listed companies to disclose detailed related information. To evaluate green governance performance, we adopted binary variables related to whether firms obtained green certification, reflecting only a narrow aspect of the green governance effect. Further research is recommended to extend the evaluation of green management performance, more widely adopt the concepts of green and green governance, and extend green governance performance to dark green performance involving economic performance, social performance, the improvement of employees’ spiritual intelligence, and traditional environmental performance [124].
- (2)
- Discussing the influence of board power hierarchy on green governance conduct and green governance performance for different types of listed companies is necessary. Based on the mechanism analysis and effect verification of the influence of board power hierarchy of state-owned listed companies on green governance performance through green governance conduct, we discussed the effect of different performance pressures, and obtained a series of findings. The influence of the power of the board of state-owned and private listed companies in different industries and regions on green governance conduct and green governance performance is also a research direction for future studies. Thus, the power hierarchy difference between state-owned and private listed companies and its influence on green governance conduct and governance performance could be revealed. By comparing the differences in the power hierarchy of the board and green governance, the characteristics of green governance in different industries could be identified. Comparative studies of different regions could help to explore the influence of external factors, such as regional culture, regional economic development, regional market competition, and regional innovation ability, on internal elements such as board power hierarchy, green governance conduct, and green governance performance to discover the common and individual factors affecting green governance in different regions. The influence of governance on enterprise performance is restricted by many situational factors, such as industry competition. This effect is always small and insignificant in competitive industries and large and significant in non-competitive industries [125]. Therefore, future studies may incorporate industry competition into the model to further explore the impact of board governance on corporate green performance in industries with different levels of competition.
- (3)
- The consistency and deviation of the power as well as status of those on the board should be considered. We divided the board power hierarchy into formal and informal power hierarchies. The consistency of board power hierarchy, which is the degree of matching between power and status, may be explored. A mismatch often occurs between power and status within the BOD, which affects the governance behavior of the board and further affects the governance performance. Discussing the consistency and deviation between power and status would help enterprises to build a BOD with matching power and status to improve the governance effectiveness of the BOD.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Element | Measurement Standard |
---|---|
Customers | Are the company’s customers, including the company’s main target market customer group, or the company’s strategic customer group clearly defined? If the relevant concepts are explicitly presented, the value is 1; otherwise, 0. |
Product and service | Are the main products and services provided by the company clear? If the relevant concepts are explicitly presented, the value is 1; otherwise, 0. |
Market | Is where the company operates primarily or where it will expand clear? The market here mainly refers to the geographical concept. If the relevant concepts are explicitly presented, the value is 1; otherwise, 0. |
Technology | Is the core technology of the company’s business development clear? If the relevant concepts are explicitly presented, the value is 1; otherwise, 0. |
Concern for production, growth, and profit | Does the company clearly indicate its efforts to achieve business growth and sound financial position? If the company explicitly states it attempts to achieve business growth and financial health, the value is 1; otherwise, 0. |
Corporate philosophy | Does it clearly state the company’s business philosophy, values, or moral predisposition to reflect the company’s philosophy of expression? If the relevant concepts are explicitly presented, the value is 1; otherwise, 0. |
Corporate self-perception | Does the firm clearly identify and state the company’s unique capabilities or core competitive advantages, or evaluate the company’s competitive advantages and disadvantages? If the relevant concepts are explicitly presented, the value is 1; otherwise, 0. |
Concern for public image | Does the company clearly indicate its concern for the development of society and the community, and for environmental protection, or assume corresponding social responsibilities and provide contributions? If the relevant concepts are explicitly presented, the value is 1; otherwise, 0. |
Concern for employees | Is it clear that the company regards employees as assets and cares about employees’ lives and development? If the relevant concepts are explicitly presented, the value is 1; otherwise, 0. |
Variable | Mean | SD | Min. | Max. |
---|---|---|---|---|
GGP | 0.3270 | 0.4700 | 0.0000 | 1.0000 |
FP | 0.3790 | 0.0600 | 0.2665 | 0.6124 |
IP | 0.6950 | 0.1600 | 0.1667 | 1.0000 |
CM | 8.4020 | 0.7400 | 6.0000 | 9.0000 |
GGC | 7.3510 | 1.3600 | 1.0000 | 10.0000 |
LTA | 23.1800 | 1.4100 | 20.3261 | 28.5087 |
ROA | 0.0310 | 0.0700 | –0.6829 | 0.2198 |
LEV | 0.4820 | 0.2200 | 0.0370 | 1.1123 |
IDB | 0.3540 | 0.0700 | 0.2143 | 0.6667 |
BSZ | 11.1020 | 2.8300 | 6.0000 | 25.0000 |
EQR | 6.8970 | 9.9800 | 0.3459 | 82.5512 |
AGC | 0.1580 | 0.1200 | 0.0060 | 0.7410 |
SHC3 | 56.7040 | 15.0600 | 11.9803 | 98.4689 |
Variables | GGP | FP | IP | CM | GGC | LTA | ROA | LEV | IDB | BSZ | EQR | AGC | SHC3 | STI3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GGP | 1 | |||||||||||||
FP | 0.1167 * | 1 | ||||||||||||
IP | 0.0834 | −0.2338 * | 1 | |||||||||||
CM | 0.0195 | 0.0065 | −0.0093 | 1 | ||||||||||
GGC | 0.0910 | −0.0146 | −0.0251 | −0.0793 | 1 | |||||||||
LTA | −0.0483 | −0.0414 | −0.0284 | 0.0577 | −0.0726 | 1 | ||||||||
ROA | 0.0270 | 0.1345 * | −0.1321 * | 0.0760 | 0.0313 | −0.0045 | 1 | |||||||
LEV | −0.1228 * | −0.0752 | −0.0825 | −0.0774 | −0.0305 | 0.5711 * | −0.2962 * | 1 | ||||||
IDB | 0.0466 | 0.0994 * | −0.1160 * | −0.0273 | 0.0180 | 0.2013 * | 0.1322 * | 0.0459 | 1 | |||||
BSZ | 0.0065 | −0.3169 * | 0.3933 * | 0.0196 | 0.0496 | 0.2068 * | −0.0895 | 0.0931 | −0.1065 * | 1 | ||||
EQR | 0.0133 | −0.1740 * | 0.0020 | −0.1573 * | 0.0768 | −0.0029 | −0.1639 * | 0.1488 * | −0.1037 * | −0.0386 | 1 | |||
AGC | −0.0613 | 0.0158 | 0.0025 | 0.0847 | 0.0573 | −0.2039 * | 0.2084 * | −0.2735 * | −0.0917 | 0.0740 | −0.2350 * | 1 | ||
SHC3 | 0.0138 | −0.0140 | −0.0371 | 0.0710 | −0.1586 * | 0.2047 * | 0.0694 | 0.0404 | −0.0053 | 0.0320 | 0.1016 * | −0.1476 * | 1 | |
STI3 | −0.0512 | 0.1335 * | −0.1627 * | −0.0275 | 0.0888 | −0.0914 | 0.1408 * | −0.1567 * | 0.0862 | −0.0276 | −0.2644 * | 0.1166 * | −0.2078 * | 1 |
Model 1 | Model 2 | Model 3 | |
---|---|---|---|
Dependent Variable | GGC | GGC | GGC |
LTA | −0.1240 *** (−2.96) | −0.1230 *** (−2.94) | −0.1140 *** (−2.67) |
ROA | −0.8470 (−0.95) | −0.9810 (−1.07) | −1.1780 (−1.29) |
LEV | 0.1890 (0.66) | 0.1420 (0.49) | 0.1800 (0.62) |
IDB | −0.1310 (−0.18) | −0.1940 (−0.27) | −0.0238 (−0.03) |
BSZ | 0.0288 (1.44) | 0.0352 * (1.72) | 0.0372 * (1.79) |
EQR | −0.0081 (−1.32) | −0.0088 (−1.39) | −0.0101 (−1.55) |
AGC | 0.4500 (1.10) | 0.3720 (0.89) | 0.4400 (1.05) |
FP | - | −0.2610 (−0.25) | −17.8700 * (−1.74) |
IP | - | −0.5730 * (−1.68) | 6.2110 (1.58) |
CM | - | - | −0.3550 (−0.57) |
FP × CM | - | - | 2.1280 * (1.76) |
IP × CM | - | - | 0.8120 * (1.75) |
_cons | 9.8660 *** (11.07) | 10.3400 *** (10.01) | 12.9500 ** (2.36) |
Adjusted R2 | 0.0465 | ||
F | 3.2100 *** |
Model 4 | Model 5 | |
---|---|---|
Dependent Variable | GGP | GGP |
LTA | 0.0250 (0.24) | 0.0330 (0.32) |
LEV | −1.6140 ** (−2.24) | −1.6700 ** (−2.37) |
ROA | −0.7760 (−0.45) | −0.5750 (−0.34) |
BSZ | 0.0570 (1.34) | 0.0460 (1.07) |
SHC3 | 0.0030 (0.46) | 0.0050 (0.59) |
STI3 | −0.0620 (−1.50) | −0.0650 (−1.56) |
FP | 36.0900 * (1.78) | 40.3800 * (1.86) |
IP | −1.3430 (−0.13) | −3.8410 (−0.37) |
FP × IP | −20.9000 * (−1.74) | −18.2100 (−1.44) |
CM | −0.0010 (−0.00) | 0.1970 (0.12) |
FP × CM | −2.0610 (−0.86) | −2.7920 (−1.07) |
IP × CM | 1.2370 (1.13) | 1.4300 (1.26) |
GGC | - | 0.2130 ** (2.39) |
_cons | −8.7010 (−0.66) | −11.4200 (−0.83) |
Pseudo R2 | 0.0575 | 0.0694 |
Wald χ2 | 35.0700 | 35.9800 |
N | 416 | 416 |
Model 6 | Model 7 | |
---|---|---|
Dependent Variable | GGP | GGP |
FP | 18.3400 (1.55) | 21.4200 * (1.73) |
IP | −0.5310 (−0.08) | −2.5410 (−0.35) |
FP × IP | −11.3100 * (−1.81) | −9.8570 (−1.52) |
CM | −0.0538 (−0.05) | 0.0420 (0.04) |
FP × CM | −0.9090 (−0.63) | −1.4030 (−0.94) |
IP × CM | 0.6720 (0.91) | 0.8560 (1.13) |
LTA | 0.0154 (0.23) | 0.0166 (0.25) |
LEV | −1.1030 ** (−2.29) | −1.1090 ** (−2.37) |
ROA | −0.5300 (−0.46) | −0.4030 (−0.36) |
BSZ | 0.0408 (1.47) | 0.0328 (1.19) |
SHC3 | 0.0023 (0.46) | 0.0029 (0.57) |
STI3 | −0.0424 (−1.49) | −0.0446 (−1.59) |
GGC | - | 0.1380 ** (2.49) |
_cons | −5.3700 (−0.59) | −6.7950 (−0.74) |
N | 416 | 416 |
Model 8 | Model 9 | Model 10 | Model 11 | Model 12 | Model 13 | |
---|---|---|---|---|---|---|
Performance Pressure? | No | Yes | No | Yes | No | Yes |
Dependent Variable | GGC | GGC | GGC | GGC | GGC | GGC |
LTA | −0.1212 * (−1.69) | −0.1212 **(−1.97) | −0.1205 * (−1.68) | −0.1151 * (−1.86) | −0.1203* (−1.68) | −0.0993 (−1.62) |
ROA | −1.3080 (−1.20) | −1.0320 (−0.63) | −1.3161 (−1.21) | −1.1603 (−0.71) | −1.3034 (−1.19) | −1.6756 (−1.02) |
LEV | −0.0286 (−0.06) | 0.2792 (0.66) | −0.0304 (−0.07) | 0.2566 (0.61) | 0.0273 (0.06) | 0.2947 (0.71) |
IDB | 0.2114 (0.17) | −0.5426 (−0.51) | 0.1959 (0.16) | −0.5673 (−0.53) | 0.3834 (0.31) | −0.2681 (−0.25) |
BSZ | 0.0274 (0.98) | 0.0470 (1.50) | 0.0275 (0.98) | 0.0525 * (1.67) | 0.0218 (0.77) | 0.0599 * (1.92) |
EQR | −0.0246 *** (−2.74) | −0.0010 (−0.13) | −0.0252 *** (−2.74) | −0.0008 (−0.12) | −0.0251 *** (−2.66) | −0.0012 (−0.17) |
AGC | −0.2042 (−0.30) | 0.9125 (1.33) | −0.1768 (−0.26) | 1.1212 (1.61) | −0.2176 (−0.31) | 1.1745 * (1.70) |
FP | −0.3432 (−0.27) | −0.0422 (−0.03) | −0.3781 (−0.29) | 0.0614 (0.05) | −5.9032 (−0.41) | −27.1776 ** (−2.15) |
IP | −0.8173 * (−1.66) | −0.3958 (−0.73) | −0.8312 * (−1.67) | −0.3069 (−0.57) | 8.1837 (1.30) | 6.4869 (1.11) |
CM | - | - | −0.0348 (−0.31) | −0.1625 (−1.58) | 0.4602 (0.47) | −0.8795 (−1.02) |
FP × CM | - | - | - | - | 0.6673 (0.39) | 3.3104 ** (2.18) |
IP × CM | - | - | - | - | −1.0689 * (−1.44) | −0.8215 (−1.17) |
_cons | 10.6170 *** (6.50) | 9.9858 *** (6.61) | 10.9237 *** (5.69) | 11.0183 *** (6.70) | 6.6729 (0.78) | 16.3530 ** (2.25) |
F | 1.7900 * | 1.1700 | 1.6200 | 1.3100 | 1.6000 * | 1.8100 ** |
R2 | 0.0598 | 0.0300 | 0.0601 | 0.0371 | 0.0710 | 0.0607 |
N | 264 | 350 | 264 | 350 | 264 | 350 |
Model 14 | Model 15 | Model 16 | Model 17 | |
---|---|---|---|---|
Performance Pressure? | No | Yes | No | Yes |
Dependent Variable | GGP | GGP | GGP | GGP |
LTA | 0.0594 (0.36) | 0.0409 (0.29) | 0.0488 (0.29) | 0.0395 (0.28) |
LEV | −1.4915 (−1.39) | −1.8775 ** (−1.98) | −1.3791 (−1.24) | −2.0444 ** (−2.10) |
ROA | 2.4713 (0.89) | −8.8865 *** (−2.60) | 3.1082 (1.11) | −8.1772 ** (−2.34) |
BSZ | 0.1074 * (1.84) | 0.0130 (0.21) | 0.0918 (1.53) | −0.0003 (−0.01) |
SHC3 | −0.0150 (−1.30) | 0.0244 ** (2.27) | −0.0150 (−1.28) | 0.0261 ** (2.36) |
STI3 | −0.1261 *** (−1.96) | −0.0119 (−2.23) | −0.1105 (−1.61) | −0.0086 (−0.16) |
FP | 10.0948 *** (3.42) | 4.3908 * (1.86) | 66.4405 (1.46) | 33.2608 (1.24) |
IP | 1.7414 (1.38) | 0.4254 (0.38) | −0.2726 (−0.01) | −4.4102 (−0.27) |
CM | - | - | 1.1734 (0.37) | 0.2281 (0.11) |
FP × CM | - | - | −5.1112 (−0.99) | −2.4422 (−0.78) |
IP × CM | - | - | 1.2880 (0.60) | 1.2510 (0.74) |
GGC | - | - | 0.2751 * (1.83) | 0.2042 * (1.75) |
_cons | −5.6425 (−1.53) | −3.8478 (−1.23) | −22.9712 (−0.82) | −10.4908 (−0.57) |
Wald χ2 | 23.8000 *** | 17.6000 ** | 31.1200 *** | 23.8400 ** |
© 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/).
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Dong, F.; Xie, Y.; Cao, L. Board Power Hierarchy, Corporate Mission, and Green Performance. Sustainability 2019, 11, 4826. https://doi.org/10.3390/su11184826
Dong F, Xie Y, Cao L. Board Power Hierarchy, Corporate Mission, and Green Performance. Sustainability. 2019; 11(18):4826. https://doi.org/10.3390/su11184826
Chicago/Turabian StyleDong, Feiran, Yongzhen Xie, and Linjun Cao. 2019. "Board Power Hierarchy, Corporate Mission, and Green Performance" Sustainability 11, no. 18: 4826. https://doi.org/10.3390/su11184826
APA StyleDong, F., Xie, Y., & Cao, L. (2019). Board Power Hierarchy, Corporate Mission, and Green Performance. Sustainability, 11(18), 4826. https://doi.org/10.3390/su11184826