The Effects of Board Diversity on Korean Companies’ ESG Performance
Abstract
:1. Introduction
2. Literature Review
2.1. Social Responsibility of Businesses
2.2. Stakeholders and Sustainable Development
2.3. Board of Directors
2.4. Theories on Board of Directors
2.5. Board Diversity
3. Hypothesis Development
3.1. Board Size
3.2. Female Directors on Boards
3.3. Age Diversity
3.4. Foreign Directors
3.5. Educational Diversity
3.6. Foreign Education
4. Research Methodology
4.1. Sample and Data
4.2. Research Design
4.3. Variable Measurement
5. Results
5.1. Descriptive Statistics
5.2. Board Diversity and Overall ESG Performance
5.3. Board Diversity and Individual Components of ESG
5.4. Regression Diagnostics
5.4.1. Linearity
5.4.2. Normality
5.4.3. Homoscedasticity
5.4.4. Outliers
5.4.5. Multicollinearity
6. Discussion and Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Category | Obs. |
---|---|
Total number of directors in board data provided by TS2000 | 5055 |
Total number of firms with board data provided by TS2000 | 749 |
Firms with ESG score data provided by KCGS | 765 |
Firms with financial data provided by DataGuide | 811 |
Firms with missing board, ESG, and financial data | 11 |
Total | 738 |
Variables | Description |
---|---|
Dependent | |
ESG | ESG scores from KCGS reflect the sustainability and ethical practices of listed firms in the KOSPI index. |
Independent | |
Brd_size | Number of directors on the board. |
Fem_brd | Presence of female directors on the board (0 = no, 1 = yes). |
Age_div | Age diversity measured by Blau’s index. |
For_dir | Presence of foreign directors on the board (0 = no, 1 = yes). |
High_edu | Percentage of highly educated directors (with MA or/and PhD degrees, and above) |
For_edu | Percentage of board members who have studied overseas. |
Control | |
ASST | Natural logarithmic value of total assets of the firm. |
ROA | Return on Assets (ROA): Net income/Total assets. |
LEV | Leverage: Liabilities/Total assets. |
GRW | Sales growth rate |
Variables | N | Mean | STD | Min | Q1 | Q3 | Max |
---|---|---|---|---|---|---|---|
ESG_score | 738 | 3.29 | 1.3 | 0.25 | 2.25 | 4.45 | 6 |
Brd_size | 738 | 6.76 | 1.95 | 4 | 5 | 8 | 17 |
Fem_brd | 738 | 0.35 | 0.48 | 0 | 0 | 1 | 1 |
Age_div | 738 | 0.53 | 0.17 | 0 | 0.46 | 0.64 | 0.84 |
For_dir | 738 | 0.07 | 0.25 | 0 | 0 | 0 | 1 |
High_edu | 738 | 45.3 | 25.3 | 0 | 25 | 67.7 | 100 |
For_edu | 738 | 24.6 | 21 | 0 | 0 | 40 | 100 |
ASST | 738 | 20.8 | 1.8 | 16 | 20 | 22 | 27 |
ROA | 738 | 2.6 | 7.6 | −50 | 0.63 | 5.86 | 48.9 |
LEV | 738 | 0.49 | 0.22 | 0.03 | 0.32 | 0.64 | 1 |
GRW | 738 | 16.5 | 25.6 | −79.3 | 3.15 | 26.2 | 181 |
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | |
---|---|---|---|---|---|---|---|---|---|---|---|
(1) ESG | 1 | ||||||||||
(2) Brd_size | 0.28 *** | 1 | |||||||||
(3) Fem_brd | 0.35 *** | 0.34 *** | 1 | ||||||||
(4) Age_div | −0.09 * | 0.12 ** | 0.07 | 1 | |||||||
(5) For_dir | −0.00 | 0.12 *** | 0.03 | 0.05 | 1 | ||||||
(6) High_edu | 0.42 *** | 0.09 * | 0.27 *** | −0.06 | 0.02 | 1 | |||||
(7) For_edu | 0.42 *** | 0.08 * | 0.23 *** | −0.05 | 0.06 | 0.68 *** | 1 | ||||
(8) ASST | 0.69 *** | 0.33 *** | 0.42 *** | −0.05 | 0.03 | 0.39 ** | 0.42 *** | 1 | |||
(9) ROA | 0.15 *** | 0.02 | 0.01 | 0.04 | 0.03 | 0.08 * | 0.09 * | 0.19 *** | 1 | ||
(10) LEV | 0.22 *** | 0.11 ** | 0.14 *** | −0.09 * | −0.05 | 0.09 * | 0.09 * | 0.37 *** | −0.31 *** | 1 | |
(11) GRW | 0.05 | −0.01 | 0.00 | 0.01 | 0.05 | −0.00 | 0.02 | 0.07 | 0.26 *** | −0.01 | 1 |
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Full Model | |
---|---|---|---|---|---|---|---|
Predictors | |||||||
(Intercept) | 7.09 *** (0.42) | −6.75 *** (0.45) | −6.83 *** (0.44) | −7.13 *** (0.42) | −6.46 *** (0.42) | −6.34 *** (0.44) | −5.70 *** (0.48) |
Brd size | 0.04 * (0.02) | 0.05 ** (0.02) | |||||
Fem brd | 0.18 ** (0.08) | 0.10 (0.08) | |||||
Age div | −0.49 ** (0.21) | −0.50 ** (0.21) | |||||
For dir | −0.14 (0.14) | −0.19 (0.14) | |||||
High edu | 0.01 *** (0.00) | 0.01 *** (0.00) | |||||
For edu | 0.01 *** (0.00) | 0.01 ** (0.00) | |||||
ASST | 0.49 *** (0.02) | 0.49 *** (0.02) | 0.51 *** (0.02) | 0.51 *** (0.02) | 0.45 *** (0.02) | 0.46 *** (0.02) | 0.41 *** (0.03) |
ROA | 0.00 (0.01) | 0.00 (0.01) | 0.00 (0.01) | 0.00 (0.01) | 0.00 (0.01) | 0.00 (0.01) | 0.00 (0.01) |
LEV | −0.24 (0.19) | −0.23 (0.19) | −0.28 (0.19) | −0.27 (0.19) | −0.18 (0.19) | −0.18 (0.19) | −0.18 (0.19) |
GRW | −0.00 (0.00) | −0.00 (0.00) | −0.00 (0.00) | −0.00 (0.00) | 0.00 (0.00) | −0.00 (0.00) | 0.00 (0.00) |
Observations | 738 | 738 | 738 | 738 | 738 | 738 | 738 |
R-square | 0.481 | 0.482 | 0.482 | 0.479 | 0.505 | 0.499 | 0.518 |
R-square adjusted | 0.477 | 0.478 | 0.479 | 0.476 | 0.501 | 0.496 | 0.511 |
F statistics | 135.61 *** | 136.16 *** | 136.36 *** | 134.69 *** | 149.06 *** | 146.9 *** | 78.02 *** |
Environmental | Social | Governance | ||||
---|---|---|---|---|---|---|
Predictors | Estimates | p-value | Estimates | p-value | Estimates | p-value |
(Intercept) | 140.47 *** (9.97) | <0.001 | −162.10 *** (9.06) | <0.001 | −51.29 *** (5.06) | <0.001 |
Brd size | 0.78 * (0.40) | 0.053 | 0.93 ** (0.36) | 0.011 | 0.76 *** (0.19) | <0.001 |
Fem brd | 4.26 ** (1.70) | 0.012 | 5.78 *** (1.54) | <0.001 | 1.12 (0.80) | 0.164 |
Age div | −8.73 ** (4.30) | 0.043 | −15.61 *** (3.91) | <0.001 | −5.74 *** (2.05) | 0.005 |
For dir | −2.85 (2.83) | 0.313 | −6.29 ** (2.57) | 0.015 | −0.38 (1.33) | 0.774 |
High edu | −0.01 (0.04) | 0.769 | 0.09 ** (0.04) | 0.014 | 0.05 *** (0.02) | 0.005 |
For edu | 0.13 *** (0.05) | 0.005 | 0.10 ** (0.04) | 0.016 | 0.03 (0.02) | 0.248 |
ASST | 8.12 *** (0.54) | <0.001 | 9.26 *** (0.49) | <0.001 | 4.03 *** (0.27) | <0.001 |
ROA | 0.12 (0.11) | 0.256 | −0.09 (0.10) | 0.372 | 0.04 (0.05) | 0.392 |
LEV | −3.19 (3.88) | 0.410 | −3.71 (3.53) | 0.293 | −0.97 (1.86) | 0.603 |
GRW | −0.00 (0.03) | 0.945 | −0.01 (0.03) | 0.714 | −0.02 (0.01) | 0.163 |
Observations | 738 | 738 | 669 | |||
R-square | 0.459 | 0.592 | 0.473 | |||
R-square adjusted | 0.452 | 0.586 | 0.465 | |||
F statistics | 61.73 *** | 105.46 *** | 61.38 *** |
Rain = 1.106 | df2 = 358 | p-value = 0.169 | p-value = 0.169 |
W = 0.998 | p-value = 0.731 |
Skewness = −0.02 | Kurtosis = 2.93 |
χ2 | 0.015 |
p-value | 0.903 |
Variables | Tolerance | VIF |
---|---|---|
Brd_size | 0.81 | 1.24 |
Fem_brd | 0.75 | 1.33 |
Age_div | 0.96 | 1.04 |
For_dir | 0.97 | 1.03 |
High_edu | 0.51 | 1.96 |
For_edu | 0.50 | 1.99 |
ASST | 0.52 | 1.91 |
ROA | 0.74 | 1.35 |
LEV | 0.70 | 1.43 |
GRW | 0.92 | 1.08 |
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Jeyhunov, A.; Kim, J.D.; Bae, S.M. The Effects of Board Diversity on Korean Companies’ ESG Performance. Sustainability 2025, 17, 787. https://doi.org/10.3390/su17020787
Jeyhunov A, Kim JD, Bae SM. The Effects of Board Diversity on Korean Companies’ ESG Performance. Sustainability. 2025; 17(2):787. https://doi.org/10.3390/su17020787
Chicago/Turabian StyleJeyhunov, Ahmet, Jong Dae Kim, and Seong Mi Bae. 2025. "The Effects of Board Diversity on Korean Companies’ ESG Performance" Sustainability 17, no. 2: 787. https://doi.org/10.3390/su17020787
APA StyleJeyhunov, A., Kim, J. D., & Bae, S. M. (2025). The Effects of Board Diversity on Korean Companies’ ESG Performance. Sustainability, 17(2), 787. https://doi.org/10.3390/su17020787