CSR Disclosures, CSR Awards and Corporate Governance as Determinants of the Cost of Debt: Evidence from Malaysia
Abstract
:1. Introduction
The Malaysian Institutional Setting and the Development of Corporate Social Responsibility
2. Theoretical Framework and Hypothesis Development
2.1. Media Influence, CSR Disclosures and the Cost of Debt
2.2. Board Size, CSR Disclosures and the Cost of Debt
2.3. Political Connections and the Cost of Debt
2.4. Government Ownership and the Cost of Debt
2.5. Non-Governmental Institutional Ownership
2.6. Audit Committee Independence and the Cost of Debt
2.7. Moderating the Role of CSR Disclosures and CSR Awards on the Cost of Debt
3. Research Methodology
3.1. Construction of the CSR Index
3.2. Sample Selection
3.3. Measurement of the Dependent, Independent and Control Variables
3.3.1. Dependent Variable
3.3.2. Independent Variables
3.4. Empirical Model Specifications
4. Results and Discussion
4.1. Preliminary Analysis
4.2. Estimation Results
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
- (1)
- Community activities
- (2)
- Workplace: employment conditions
- (3)
- Environment
- (4)
- Reporting and standards
Appendix B
Variable Measurements | |
Variable | Descriptions |
Dependent | |
Cost of Debt (COD_INT) | The interest expense of the firm divided by its average short-term and long-term data during the year. |
CSR disclosures (CSR_INDEX) | The CSR_INDEX is obtained by calculating the total scores given to each firm under the StarBiz awards criteria. Thereafter, the median adjusted score for each firm within the industry is added to the number of words describing the CSR policy of the firm (items shown in Appendix A). |
Board Governance | |
Board Size (BO_SIZE) | Number of directors on the board. |
Audit Committee Independence (AC_IND) | Percentage of independent directors on the audit committee. |
Ownership Structure | |
Government Institutional Investors (GOV_INST) | Percentage of shares of a company held by government-related institutional investors, directly or indirectly (EPF, LTAT, PNB, LTH and SOCSO). |
Other Institutional Investors (OTH_INST) | Percentage of shares held by all other institutional investors (excluding EPF, LTAT, PNB, LTH and SOCSO) holding at least 5 percent of outstanding shares. |
Political Connection (POL_CON) | An indicator variable that equals 1 if the company is politically connected and 0 otherwise. |
Variable Measurements | |
Variable | Descriptions |
CSR Awards (CSR_AWARDS) | An indicator variable that equals 1 if the firm was awarded a CSR award during that year and 0 otherwise. |
Control | |
Firm Size (FIRM_SIZE) | The log of the book value of total assets at the end of the year. |
Age of Firm (FIRM_AGE) | Years since the firm began its business activity. |
Return on Assets (ROA) | Profit after tax, divided by total assets. |
Growth (GROWTH) | Tobin’s Q as a proxy. Calculated as the market value of equity plus the book value of long-term debts and current liability, scaled by the book value of total assets. |
Creditors’ Power/Leverage (CRED_POWER) | Long-term debts divided by total assets. |
1 | The 10th Malaysia Plan identifies 12 key economic sectors that have the potential to achieve the status of a high-income nation. The sectors identified are oil and gas, palm oil and related products, financial services, tourism, education services, communication, information technology, wholesale and retailing, electric and electronics, business services, private health care, agriculture and the development of Greater Kuala Lumpur. The plan further states that this growth should be economically and environmentally sustainable, meeting the present needs without compromising those of future generations. (https://pmo.gov.my/dokumenattached/RMK/RMK10_Eds.pdf, assessed on 9 June 2022). |
2 | Though Malaysia is in the process of harmonizing its accounting standards with the International Accounting Standards, its current accounting standards, FRS 137 and FRS 101, do not consider social and environmental information in the Management Analysis and Discussion section of their annual reports. However, companies have been encouraged to provide information such as contingent liabilities and assets to aid investors in their decision making. Malaysia’s environmental and social reporting practices are presently seen as a Code of Best Practice, and there are no specific accounting standards to address CSR reporting practices. |
3 | Under the legitimacy theory, a social contract exists in implicit terms between business and society. Friedman (1970) argued that a firm’s primary purpose is to maximize shareholder wealth. A paradigm shift in the 1980s saw a change in the role of firms to that of meeting the needs of all stakeholders (Freeman 2010). |
4 | We believe that even private banks value PLCs with good CSR reputation, because, for example, the CEO of a leading private bank was the brother of the prime minister during the period of our study. |
5 | The largest banks in Malaysia are state owned, and most Malaysian PLCs have significant relations with them. |
6 | The Edge Billion Ringgit Club (BRC) members comprise about 19% of the number of listed companies in Bursa Malaysia as of 2014. Awards to companies are not only based on their financial performance, but due recognition is also given to companies showing exemplary leadership in building their businesses and creating value for their stakeholders. |
7 | The five largest public institutional investors in Malaysia are the Employees’ Provident Fund (EPF), Lembaga Tabung Angkatan Tentera (LTAT), an investment fund (Permodalan Nasional Berhad (PNB)), a pilgrim fund (Lembaga Tabung Haji (LTH)) and the National Social Security Organisation of Malaysia (SOCSO). The Ministry of Finance defines these five institutional investors as the primary government-related institutional owners. |
8 | A possible reason for the average cost of debt of 5.2% is due to the reduced cost of borrowing from sources of funding such as grants, feed-in-tariff mechanisms and the Green Technology Financing Scheme (GTFS) offered by commercial banks, Islamic banks, Pembangunan, SME Bank, Agrobank, Bank Rakyat, EXIM Bank and Bank Simpanan Nasional. |
9 | We used the Janis–Fadner Coefficient to directly capture the effect of media influence on CSR_INDEX and COD_INT, but unfortunately, it was not significant. |
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Panel A: Data and Sample | ||||
Selection Criteria | No. of Companies | |||
Billion Ringgit Club (BRC) companies as of 31 March 2010 | 163 | |||
Less: | ||||
Banking and Financial Services | 25 | |||
Companies ceasing to be part of the BRC due to delisting or merging | 34 | |||
Usable sample | 104 | |||
Panel B: Industry Distribution | ||||
Sector | Industry Category | No. of Companies | Frequency | |
Absolute | Relative (%) | |||
1 | Trading and services | 33 | 231 | 31.7 |
2 | Properties | 6 | 42 | 5.8 |
3 | Industrial Production | 24 | 168 | 23.1 |
4 | Plantation | 10 | 70 | 9.6 |
5 | Consumer Products | 14 | 98 | 13.5 |
6 | Technology | 5 | 35 | 4.8 |
7 | Construction/Infrastructure | 8 | 56 | 7.7 |
8 | Oil and Energy | 1 | 7 | 0.97 |
9 | Airline/Shipping | 1 | 7 | 0.97 |
10 | Retail | 2 | 14 | 1.9 |
Total | 104 | 728 | 100 |
Variables | Mean | Median | Std. Dev. | Minimum | Maximum |
---|---|---|---|---|---|
COD_INT | 0.067 | 0.052 | 0.057 | 0.023 | 0.087 |
CSR_INDEX | 64.371 | 55.000 | 53.191 | 32.00 | 85.750 |
AC_IND | 0.900 | 1.000 | 0.140 | 1.000 | 1.000 |
BO_SIZE | 8.279 | 8.000 | 1.804 | 7.000 | 9.000 |
GOV_INST | 0.121 | 0.069 | 0.178 | 0.000 | 1.000 |
OTH_INST | 0.114 | 0.089 | 0.112 | 0.000 | 1.000 |
POL_CON | 0.327 | 0.000 | 0.469 | 0.000 | 1.000 |
CSR_AWARDS | 0.209 | 0.000 | 0.411 | 0.000 | 1.000 |
AGE_FIRM | 35.491 | 33.000 | 22.037 | 20.000 | 45.000 |
GROWTH | 1.234 | 0.730 | 1.791 | 0.000 | 14.000 |
ROA | 0.149 | 0.076 | 0.558 | 1.180 | 8.300 |
LNSIZE | 14.96 | 14.70 | 1.22 | 12.550 | 18.58 |
CRED_POWER | 1.339 | 0.854 | 2.341 | 0.040 | 27.120 |
N | 728 | 728 | 728 |
COD_ INT | CSR_ INDEX | CSR_ AWARD | BO_ SIZE | AC_ IND | POL_ CON | GOV_ INST | OTH_ INST | ROA | GROWTH | LNSIZE | AGE_ FIRM | CRED_ POWER | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
COD_INT | 1 | |||||||||||||
CSR_INDEX | −0.133 | 1 | ||||||||||||
CSR_AWARD | 0.007 ** | 0.071 * | 1 | |||||||||||
BO_SIZE | −0.039 ** | 0.022 ** | 0.203 | 1 | ||||||||||
AC_IND | 0.045 ** | −0.007 * | −0.074 * | −0.027 ** | 1 | |||||||||
POL_CON | 0.108 | −0.071 * | 0.211 | 0.080 * | −0.074 * | 1 | ||||||||
GOV_INST | −0.003 ** | 0.054 ** | 0.253 | 0.171 | −0.182 | 0.395 | 1 | |||||||
OTH_INST | −0.077 * | −0.039 ** | 0.157 | 0.269 | −0.128 | 0.059 * | 0.066 * | 1 | ||||||
ROA | 0.099 * | −0.193 | −0.013 ** | −0.007 * | −0.037 ** | −0.003 ** | −0.055 * | 0.133 | 1 | |||||
GROWTH | −0.202 | −0.101 | 0.239 | 0.005 ** | −0.179 | 0.023 ** | −0.034 ** | 0.088 * | 0.120 | 1 | ||||
LNSIZE | 0.204 | 0.031 ** | 0.270 | 0.240 | −0.016 ** | 0.250 | 0.317 | 0.246 | 0.008 * | −0.157 | 1 | |||
AGE_FIRM | −0.112 | 0.160 | −0.065 * | −0.159 | −0.030 ** | −0.035 ** | −0.076 * | −0.104 * | −0.096 * | 0.040 ** | −0.082 | 1 | ||
CRED_POWER | 0.117 | 0.007 * | 0.064 * | 0.029 ** | −0.058 * | −0.010 ** | 0.011 ** | −0.003 ** | −0.007 * | 0.002 ** | 0.070 | −0.054 ** | 1 |
Model 1 | Model 2 | |||
---|---|---|---|---|
Variable | Coefficient | t-Statistic | Coefficient | t-Statistic |
Constant | −0.004 | −0.489 | −0.006 | −0.681 |
CSR_INDEX | −0.001 | −3.360 *** | 0.000 | −1.566 |
CSR_AWARDS | 0.001 | 0.910 | 0.006 | 2.772 ** |
CSR_INDEX*CSR_AWARDS | 0.000 | −2.900 *** | ||
BO_SIZE | −0.001 | −1.660 * | 0.000 | −1.440 |
AC_IND | −0.001 | 0.952 | −0.001 | −0.303 |
POL_CON | 0.003 | 2.503 ** | 0.003 | 2.689 *** |
GOV_INST | −0.008 | −2.350 ** | −0.008 | −2.474 ** |
OTH_INST | −0.017 | −3.407 *** | −0.016 | −3.256 *** |
ROA | 0.003 | 2.962 ** | 0.004 | 3.225 *** |
GROWTH | −0.002 | −5.205 *** | −0.002 | −5.589 *** |
LNSIZE | 0.002 | 4.886 *** | 0.002 | 4.995 *** |
AGE_FIRM | −0.001 | −2.322 ** | 0.000 | −2.138 ** |
CRED_POWER | 0.001 | 2.885 *** | 0.000 | 2.921 *** |
Period | Yes | Yes | ||
Industry | Yes | Yes | ||
R2 | 0.156 | 0.167 | ||
Adjusted R2 | 0.135 | 0.144 | ||
No. of observations | 728 | 728 | ||
F-Ratio | 7.326 | 7.456 | ||
Probability | 0.000 | 0.000 |
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Dhoraisingam Samuel, S.; Mahenthiran, S.; Ramasamy, R. CSR Disclosures, CSR Awards and Corporate Governance as Determinants of the Cost of Debt: Evidence from Malaysia. Int. J. Financial Stud. 2022, 10, 87. https://doi.org/10.3390/ijfs10040087
Dhoraisingam Samuel S, Mahenthiran S, Ramasamy R. CSR Disclosures, CSR Awards and Corporate Governance as Determinants of the Cost of Debt: Evidence from Malaysia. International Journal of Financial Studies. 2022; 10(4):87. https://doi.org/10.3390/ijfs10040087
Chicago/Turabian StyleDhoraisingam Samuel, Shyamala, Sakthi Mahenthiran, and Ravindran Ramasamy. 2022. "CSR Disclosures, CSR Awards and Corporate Governance as Determinants of the Cost of Debt: Evidence from Malaysia" International Journal of Financial Studies 10, no. 4: 87. https://doi.org/10.3390/ijfs10040087
APA StyleDhoraisingam Samuel, S., Mahenthiran, S., & Ramasamy, R. (2022). CSR Disclosures, CSR Awards and Corporate Governance as Determinants of the Cost of Debt: Evidence from Malaysia. International Journal of Financial Studies, 10(4), 87. https://doi.org/10.3390/ijfs10040087