| Literature DB >> 35035372 |
Riffat Shaheen1, Hailan Yang1, Muhammad Yaseen Bhutto2, Hussaini Bala3, Fahad Najeeb Khan4.
Abstract
This study departs from existing work on board gender diversity (BGD) and corporate social responsibility (CSR) reporting by analyzing and explaining the mechanism by which gender-diverse boards in politically embedded firms (PEFs) affect firms' CSR reporting choices in a unique institutional setting of Chinese listed firms from 2010 to 2018. The following main results are obtained. First, having female directors and executives with political connections (PCs) on corporate boards improves the CSR reporting of firms. Firms with PCs have a greater possibility to issue CSR reports than their non-connected counterparts. Second, firms that have both gender diversity and PCs on their boards of directors are more likely to engage in CSR reporting. There is an indication that the presence of PCs on boards can strengthen the effect of female directors on firms' CSR reporting. Third, the presence of female directors on corporate boards has a stronger relationship with CSR reporting in PEFs than in non-PEFs. The study concludes that both BGD and PCs on corporate boards positively influence the diffusion of CSR-related practices in the Chinese business environment.Entities:
Keywords: CSR reporting; China; board gender diversity; corporate governance; political connections
Year: 2021 PMID: 35035372 PMCID: PMC8759224 DOI: 10.3389/fpsyg.2021.796470
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Variable measurement.
| Variables | Calculations | Variable source |
|---|---|---|
|
| ||
| CSRS | CSRS is the CSR score computed as the aggregate of four sub-dimensions scores from the Hexun database, namely community, environment, customers and suppliers, and employees. | |
| CSRD | CSRD is a dummy whose value is 1 if a firm is a CSR report issuer and 0 otherwise. | |
|
| ||
| SI & BI | Shannon index (SI) and Blau index (BI) are measured as | |
| FDM | FDM is a dummy variable that is equal to 1 if there is at least one female on the board and 0 otherwise. | |
| FDBD | FDBD is the percent of female directors computed as the number of female directors on the board divided by board size. | |
|
| ||
| PC | PC is a dummy variable that takes the value of 1 if one of the senior managers, supervisors, or directors of the firm were or are the Chinese People’s Political Consultative Conference (CPPCC) member, government official, or representative of the National People’s Congress (NPC) and 0 otherwise. | |
| PC% | Percentage of politically connected board directors computed as the number of politically connected directors on the board divided by the total number of board directors | |
|
| ||
| CEOD | CEOD is a dummy variable equal to 1 If the CEO and Chair of the Board are the same, otherwise 0. | |
| BS | BS is the board size which indicates the total number of board directors. | |
| BID | BID is the board independence calculated as the total number of board independent directors divided by board size. | |
| BA | BA is the board directors’ average age. | |
| Big 4 | A dummy variable equal to 1 if the company’s auditor is an audit firm belonging to “big 4” or its joint venture in China and 0 otherwise. | |
| SOE | A dummy variable takes a value of 1 if the firm is state-owned and 0 otherwise. | |
| BMF | Board meeting frequency is computed as the number of board directors’ meetings each year. | |
| LEV | Leverage is computed as total debts over total assets. | |
| FS | Firm size is calculated by taking the natural logarithm of total assets. | |
| ROA | Return on assets is computed as EBIT over total assets. | |
| FG | Firm growth is measured as the change in a firm’s total assets. | |
| FCF | Free cash flows are calculated as the subtraction of the sum of capital expenditure and working capital from the sum of net profit, noncash expenses, and interest expenses. | |
Descriptive statistics.
| Variables | Mean | Std. Dev. | Min | Max |
|---|---|---|---|---|
| CSRS | 0.351 | 0.145 | 0.154 | 0.683 |
| CSRD | 0.321 | 0.467 | 0.000 | 1.000 |
| SI | 0.305 | 0.179 | 0.000 | 0.857 |
| PC | 0.465 | 0.498 | 0.000 | 1.000 |
| PC% | 0.162 | 0.075 | 0.000 | 0.666 |
| CEOD | 0.209 | 0.406 | 0.000 | 1.000 |
| BS | 8.725 | 1.705 | 4.000 | 18.000 |
| BID | 0.372 | 0.040 | 0.182 | 0.750 |
| BA | 49.165 | 3.880 | 25.000 | 88.000 |
| BMF | 9.994 | 4.078 | 1.000 | 20.000 |
| Big 4 | 0.176 | 0.381 | 0.000 | 1.000 |
| SOE | 0.592 | 0.491 | 0.000 | 1.000 |
| LEV | 0.526 | 0.166 | 0.259 | 0.775 |
| FS | 21.783 | 1.314 | 7.955 | 27.381 |
| ROA | 0.045 | 0.147 | −0.024 | 0.229 |
| FG | 0.189 | 0.532 | −1.300 | 3.309 |
| FCF | 0.049 | 0.017 | −0.497 | 0.412 |
Correlation matrix.
| CSRS | SI | PC | PC% | CEOD | BS | BID | BA | |
|---|---|---|---|---|---|---|---|---|
| CSRS | 1.0000 | |||||||
| SI | 0.0261** | 1.0000 | ||||||
| PC | 0.0211** | 0.0067* | 1.0000 | |||||
| PC% | 0.0312** | 0.0045** | 0.2108** | 1.0000 | ||||
| CEOD | 0.0383*** | 0.0344* | 0.0088 | 0.0034 | 1.0000 | |||
| BS | 0.0004** | 0.0020 | 0.0277* | 0.014** | 0.0072* | 1.0000 | ||
| BID | 0.0144* | 0.0130* | 0.0320* | 0.0231* | 0.0033 | −0.4778* | 1.0000 | |
| BA | 0.0167* | 0.0243* | 0.0036* | 0.0015* | 0.0001 | 0.0097** | 0.0091* | 1.0000 |
| BMF | 0.0292* | 0.0028*** | 0.0140** | 0.0201** | 0.0276* | 0.0307* | 0.0254* | 0.0226* |
| Big 4 | 0.0519* | 0.0039* | 0.0008*** | 0.0012* | 0.0370* | 0.0151* | 0.0049* | −0.0064* |
| SOE | −0.0282* | 0.0425* | −0.0201* | −0.0316** | 0.0269* | 0.0221* | 0.0059 | 0.0181* |
| LEV | 0.0252* | 0.0215* | 0.1676* | 0.0531* | 0.0270* | 0.0031 | 0.0158 | 0.0009* |
| FS | 0.0329* | 0.0054 | 0.3165* | 0.2161* | 0.0068 | 0.2097* | 0.0397* | 0.0030** |
| ROA | 0.0041* | 0.0052 | 0.0178* | 0.0219** | −0.0061 | 0.0273* | −0.0001 | 0.0037* |
| FG | 0.0051** | −0.0058** | 0.0279* | 0.0154* | −0.0011 | 0.0405* | 0.0032 | 0.0048* |
| FCF | 0.0288** | 0.0191* | 0.1247* | 0.1372* | −0.0007 | 0.0611* | 0.0336* | −0.0111 |
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| BMF | 1.0000 | |||||||
| Big 4 | 0.0144** | 1.0000 | ||||||
| SOE | −0.0008** | −0.0323* | 1.0000 | |||||
| LEV | −0.0230* | 0.0265* | −0.0048* | 1.0000 | ||||
| FS | 0.0189* | −0.0432* | 0.0154** | 0.2097* | 1.0000 | |||
| ROA | −0.0126 | −0.0026 | 0.0122* | 0.0273* | −0.0400* | 1.0000 | ||
| FG | 0.0000*** | 0.0014 | 0.0023 | 0.0405* | 0.1303* | 0.0001 | 1.0000 | |
| FCF | 0.0040** | 0.0054 | −0.0290* | 0.0611* | 0.4251* | −0.0044 | 0.1966* | 1.0000 |
*, **, *** Represent the significance levels at p < 0.1, p < 0.05 and p < 0.01, respectively.
Do gender-diverse boards in Chinese firms with PCs affect CSR reporting?
| Direct Model | Indirect Model | |||
|---|---|---|---|---|
| Model 1 (CSRS) | Model 2 (CSRS) | |||
| Variables | Coeff. |
| Coeff. |
|
| SI | 0.031 | 0.034 | ||
| PC | 0.043 | 0.021 | 0.0.023 | 0.003 |
| SI | 0.219 | 0.002 | ||
| CEOD | 0.013 | 0.002 | 0.015 | 0.041 |
| BS | 0.051 | 0.044 | 0.049 | 0.061 |
| BID | 0.076 | 0.068 | 0.072 | 0.060 |
| BA | 0.001 | 0.078 | 0.002 | 0.072 |
| BMF | 0.002 | 0.002 | 0.003 | 0.003 |
| Big 4 | 0.019 | 0.001 | 0.017 | 0.001 |
| SOE | −0.005 | 0.031 | −0.009 | 0.032 |
| LEV | 0.018 | 0.030 | 0.016 | 0.022 |
| FS | 0.031 | 0.057 | 0.027 | 0.069 |
| ROA | 0.093 | 0.021 | 0.067 | 0.091 |
| FG | −0.163 | 0.015 | −0.198 | 0.068 |
| FCF | 0.125 | 0.091 | 0.051 | 0.078 |
| Constant | 0.021 | 0.001 | ||
| Year & Industry | Yes | Yes | ||
| Province & City | Yes | Yes | ||
| N | 10,679 | 10,679 | ||
| R2 (%) | 27.19 | 28.69 | ||
| F | 197.76 | 193.89 | ||
| Prob>F | 0.000 | 0.000 | ||
Represent the significance levels at p < 0.1.
Represent the significance levels at p < 0.05.
Represent the significance levels at p < 0.01.
Alternative measure of CSR reporting.
| Direct Model | Indirect Model | |||
|---|---|---|---|---|
| Model 1 (CSRD) | Model 2 (CSRD) | |||
| Variables | Coeff. |
| Coeff. |
|
| SI | 0.245 | 0.035 | ||
| PC | 0.078 | 0.006 | 0.298 | 0.006 |
| SI | 0.929 | 0.006 | ||
| CEOD | 0.240 | 0.000 | 0.239 | 0.000 |
| BS | 0.017 | 0.029 | 0.020 | 0.014 |
| BID | 0.423 | 0.057 | 0.426 | 0.031 |
| BA | 0.006 | 0.064 | 0.003 | 0.014 |
| BMF | 0.039 | 0.000 | 0.032 | 0.000 |
| Big 4 | 0.367 | 0.000 | 0.368 | 0.000 |
| SOE | −0.062 | 0.072 | −0.085 | 0.013 |
| LEV | 0.307 | 0.060 | 0.303 | 0.061 |
| FS | 0.034 | 0.013 | 0.027 | 0.006 |
| ROA | 0.013 | 0.018 | 0.015 | 0.051 |
| FG | 0.188 | 0.331 | 0.187 | 0.597 |
| FCF | 0.179 | 0.050 | 0.202 | 0.068 |
| Year & Industry | Yes | Yes | ||
| Province & City | Yes | Yes | ||
| N | 10,679 | 10,679 | ||
| Pseudo R2 (%) | 20.82 | 21.88 | ||
| Wald χ2 | 137.77 | 147.99 | ||
| Prob> χ2 | 0.000 | 0.000 | ||
| Specification test-linktest (Hatsq) | 0.463 | 0.829 | ||
| Gof test group (10) | 12.05 | 7.04 | ||
| Prob. | 0.149 | 0.532 | ||
| % of correction prediction | 80.12 | 80.13 | ||
Represent the significance levels at p < 0.1.
Represent the significance levels at p < 0.05.
Represent the significance levels at p < 0.01.
Alternative measures of BGD.
| Direct Models | Indirect Models | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Model 1 (CSRS) | Model 2 (CSRS) | Model 3 (CSRS) | Model 4 (CSRS) | Model 5 (CSRS) | Model 6 (CSRS) | |||||||
| Variables | Coeff. |
| Coeff. |
| Coeff. |
| Coeff. |
| Coeff. |
| Coeff. |
|
| BI | 0.131 | 0.010 | ||||||||||
| FDM | 0.005 | 0.004 | ||||||||||
| FDBD | 0.021 | 0.003 | ||||||||||
| PC | 0.046 | 0.023 | 0.003 | 0.011 | 0.002 | 0.012 | 0.021 | 0.001 | 0.005 | 0.024 | 0.007 | 0.019 |
| BI | 0.178 | 0.033 | ||||||||||
| FDM | 0.032 | 0.008 | ||||||||||
| FDBD | 0.049 | 0.027 | ||||||||||
| CEOD | 0.014 | 0.049 | 0.011 | 0.002 | 0.015 | 0.001 | 0.013 | 0.003 | 0.011 | 0.023 | 0.020 | 0.029 |
| BS | 0.060 | 0.003 | 0.071 | 0.037 | 0.051 | 0.048 | 0.074 | 0.026 | 0.058 | 0.021 | 0.056 | 0.019 |
| BID | 0.072 | 0.032 | 0.069 | 0.029 | 0.078 | 0.056 | 0.059 | 0.017 | 0.073 | 0.015 | 0.067 | 0.021 |
| BA | 0.002 | 0.024 | 0.001 | 0.014 | 0.002 | 0.083 | 0.003 | 0.019 | 0.004 | 0.011 | 0.003 | 0.011 |
| BMF | 0.002 | 0.025 | 0.003 | 0.023 | 0.003 | 0.003 | 0.002 | 0.011 | 0.001 | 0.063 | 0.003 | 0.047 |
| Big 4 | 0.018 | 0.001 | 0.017 | 0.000 | 0.018 | 0.001 | 0.019 | 0.000 | 0.020 | 0.007 | 0.022 | 0.005 |
| SOE | −0.007 | 0.013 | −0.005 | 0.007 | −0.006 | 0.014 | −0.006 | 0.017 | −0.008 | 0.019 | −0.005 | 0.018 |
| LEV | 0.021 | 0.014 | 0.019 | 0.021 | 0.018 | 0.059 | 0.017 | 0.020 | 0.019 | 0.027 | 0.017 | 0.023 |
| FS | 0.001 | 0.020 | 0.001 | 0.004 | 0.004 | 0.061 | 0.002 | 0.005 | 0.003 | 0.019 | 0.003 | 0.025 |
| ROA | 0.091 | 0.034 | 0.031 | 0.040 | 0.030 | 0.017 | 0.048 | 0.019 | 0.051 | 0.021 | 0.049 | 0.069 |
| FG | −0.139 | 0.060 | −0.081 | 0.087 | −0.049 | 0.071 | −0.176 | 0.090 | −0.201 | 0.093 | −0.091 | 0.091 |
| FCF | 0.031 | 0.079 | 0.028 | 0.029 | 0.027 | 0.021 | 0.034 | 0.088 | 0.036 | 0.048 | 0.067 | 0.061 |
| Constant | 0.056 | 0.015 | 0.051 | 0.013 | 0.039 | 0.016 | 0.053 | 0.020 | 0.061 | 0.019 | 0.049 | 0.022 |
| Year & Industry | Yes | Yes | Yes | Yes | Yes | Yes | ||||||
| Province & City | Yes | Yes | Yes | Yes | Yes | Yes | ||||||
| N | 10,679 | 10,679 | 10,679 | 10,679 | 10,679 | 10,679 | ||||||
| R2 (%) | 31.22 | 32.09 | 31.97 | 33.18 | 33.27 | 32.92 | ||||||
| F | 187.34 | 203.10 | 197.56 | 206.19 | 199.34 | 176.90 | ||||||
| Prob>F | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||||||
Represent the significance levels at p < 0.1.
Represent the significance levels at p < 0.05.
Represent the significance levels at p < 0.01.
Alternative measure of PC.
| Direct Model | Indirect Model | |||
|---|---|---|---|---|
| Model 1 (CSRS) | Model 2 (CSRS) | |||
| Variables | Coeff. |
| Coeff. |
|
| SI | 0.019 | 0.015 | ||
| PC % | 0.045 | 0.014 | 0.012 | 0.001 |
| SI | 0.275 | 0.000 | ||
| CEOD | 0.011 | 0.001 | 0.019 | 0.017 |
| BS | 0.007 | 0.040 | 0.009 | 0.090 |
| BID | 0.076 | 0.054 | 0.056 | 0.067 |
| BA | 0.002 | 0.096 | 0.003 | 0.087 |
| BMF | 0.001 | 0.003 | 0.002 | 0.000 |
| Big 4 | 0.019 | 0.000 | 0.021 | 0.000 |
| SOE | −0.006 | 0.022 | −0.005 | 0.032 |
| LEV | 0.013 | 0.012 | 0.017 | 0.043 |
| FS | 0.031 | 0.010 | 0.041 | 0.079 |
| ROA | 0.094 | 0.063 | 0.077 | 0.081 |
| FG | −0.165 | 0.083 | −0.173 | 0.091 |
| FCF | 0.107 | 0.061 | 0.096 | 0.049 |
| Constant | 0.018 | 0.047 | ||
| Year & Industry | Yes | Yes | ||
| Province & City | Yes | Yes | ||
| N | 10,679 | 10,679 | ||
| R2 (%) | 28.00 | 30.22 | ||
| F | 154.27 | 161.11 | ||
| Prob>F | 0.000 | 0.000 | ||
Represent the significance levels at p < 0.1.
Represent the significance levels at p < 0.05.
Represent the significance levels at p < 0.01.
GMM regression.
| Direct Model | Indirect Model | |||
|---|---|---|---|---|
| Model 1 (CSRS) | Model 2 (CSRS) | |||
| Variables | Coeff. |
| Coeff. |
|
| L1 | 0.460 | 0.000 | 0.472 | 0.000 |
| SI | 0.018 | 0.000 | ||
| PC | 0.004 | 0.000 | 0.09 | 0.001 |
| SI | 0.058 | 0.000 | ||
| CEOD | 0.014 | 0.000 | 0.017 | 0.000 |
| BS | 0.050 | 0.000 | 0.035 | 0.040 |
| BID | 0.038 | 0.070 | 0.026 | 0.036 |
| BA | 0.002 | 0.000 | 0.003 | 0.000 |
| BMF | 0.007 | 0.002 | 0.006 | 0.000 |
| Big 4 | 0.051 | 0.056 | 0.061 | 0.001 |
| SOE | −0.010 | 0.001 | −0.011 | 0.000 |
| LEV | 0.016 | 0.000 | 0.016 | 0.000 |
| FS | 0.003 | 0.000 | 0.004 | 0.006 |
| ROA | 0.045 | 0.000 | 0.064 | 0.000 |
| FG | 0.054 | 0.000 | 0.072 | 0.003 |
| FCF | 0.060 | 0.020 | 0.081 | 0.082 |
| Year & Industry | Yes | Yes | ||
| Province & City | Yes | Yes | ||
| N | 10,679 | 10,679 | ||
| Wald χ2 | 1986.72 | 1147.99 | ||
| Prob> χ2 | 0.000 | 0.000 | ||
| Arellano-Bond test for AR(2) | 0.210 | 0.310 | ||
| Sargan test | 0.187 | 0.480 | ||
| Hansen test | 0.517 | 0.618 | ||
Represent the significance levels at p < 0.1.
Represent the significance levels at p < 0.05.
Represent the significance levels at p < 0.01.
Reverse causality.
| Direct Model | Indirect Model | |||
|---|---|---|---|---|
| Model 1 (CSRS) | Model 2 (CSRS) | |||
| Variables | Coeff. |
| Coeff. |
|
| SI | 0.011 | 0.013 | ||
| PC | 0.055 | 0.003 | 0.051 | 0.007 |
| SI | 0.017 | 0.022 | ||
| CEOD | 0.012 | 0.000 | 0.003 | 0.045 |
| BS | 0.009 | 0.030 | 0.004 | 0.068 |
| BID | 0.070 | 0.080 | 0.016 | 0.069 |
| BA | 0.003 | 0.089 | 0.001 | 0.094 |
| BMF | 0.001 | 0.000 | 0.003 | 0.026 |
| Big 4 | 0.014 | 0.000 | 0.010 | 0.014 |
| SOE | −0.008 | 0.003 | −0.007 | 0.044 |
| LEV | 0.012 | 0.013 | 0.004 | 0.017 |
| FS | 0.002 | 0.030 | 0.003 | 0.012 |
| ROA | 0.662 | 0.047 | 0.029 | 0.097 |
| FG | −0.876 | 0.027 | 0.137 | 0.061 |
| FCF | 0.123 | 0.062 | 0.150 | 0.024 |
| Constant | 0.014 | 0.044 | 0.030 | 0.035 |
| Year & Industry | Yes | Yes | ||
| Province & City | Yes | Yes | ||
| N | 10,679 | 10,679 | ||
| R2 (%) | 32.10 | 35.19 | ||
| F | 160.02 | 164.10 | ||
| Prob>F | 0.000 | 0.000 | ||
Represent the significance levels at p < 0.1.
Represent the significance levels at p < 0.05.
Represent the significance levels at p < 0.01.
Propensity score matching.
| Direct Model | Indirect Model | |||
|---|---|---|---|---|
| Model 1 (CSRS) | Model 2 (CSRS) | |||
| Variables | Coeff. |
| Coeff. |
|
| SI | 0.098 | 0.015 | ||
| PC | 0.179 | 0.000 | 0.242 | 0.008 |
| SI | 0.623 | 0.003 | ||
| CEOD | 0.035 | 0.023 | 0.552 | 0.036 |
| BS | 0.010 | 0.019 | 0.447 | 0.007 |
| BID | 0.025 | 0.092 | 0.306 | 0.037 |
| BA | 0.006 | 0.069 | 0.043 | 0.031 |
| BMF | 0.004 | 0.045 | 0.151 | 0.011 |
| Big 4 | 0.201 | 0.008 | 0.511 | 0.001 |
| SOE | −0.052 | 0.062 | −0.058 | 0.031 |
| LEV | 0.108 | 0.000 | 0.068 | 0.078 |
| FS | 0.105 | 0.000 | 0.263 | 0.042 |
| ROA | 0.020 | 0.086 | 0.069 | 0.021 |
| FG | 0.595 | 0.357 | 0.232 | 0.793 |
| FCF | 0.384 | 0.027 | 0.761 | 0.003 |
| Year & Industry | Yes | Yes | ||
| Province & City | Yes | Yes | ||
| N | 10,679 | 10,679 | ||
| Pseudo R2 (%) | 23.30 | 22.88 | ||
| F | 345.31 | 324.42 | ||
| Prob>F | 0.000 | 0.000 | ||
Represent the significance levels at p < 0.1.
Represent the significance levels at p < 0.05.
Represent the significance levels at p < 0.01.