Abstract
This study provides evidence on the relationship between corporate social responsibility (CSR) and firms’ credit ratings. We find that credit rating agencies tend to award relatively high ratings to firms with good social performance. This pattern is robust to controlling for key firm characteristics as well as endogeneity between CSR and credit ratings. We also find that CSR strengths and concerns influence credit ratings and that the individual components of CSR that relate to primary stakeholder management (i.e., community relations, diversity, employee relations, environmental performance, and product characteristics) matter most in explaining firms’ creditworthiness. Overall, our results suggest that CSR performance conveys important non-financial information that rating agencies are likely to use in their evaluation of firms’ creditworthiness, and that CSR investments—particularly those that extend beyond compliance behavior to reflect what is desired by society—can lead to lower financing costs resulting from higher credit ratings.
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Notes
To illustrate, consider a firm that invests in pollution control equipment (Waddock and Graves 1997a). Because capital investment is expensed over time, this socially responsible behavior can weaken or even negate the potentially positive effects of CSR on short-term profitability. However, because this investment will help protect the firm from violations of environmental regulations and litigation, it is likely to enhance the firm’s credit standing by reducing the probability of financial distress arising from environmental failures and lawsuits. We therefore argue that firms’ credit ratings are a better measure of the financial benefits of CSR.
This is also in accord with Carroll’s (1979, 1991) view of CSR. Carroll (1979) defines CSR using a four-layer pyramid, where each layer reflects one of the four interrelated aspects of CSR: economic, legal, ethical, and discretionary (or philanthropic) responsibilities. The first two layers (economic and legal responsibilities) are socially required, the third layer (ethical responsibilities) is socially expected, and the fourth layer (philanthropy) is socially desired (Carroll 1991; Windsor 2001).
We consider firm-level credit ratings rather than specific debt issue ratings because the former reflect the overall default risk of the company, while the latter reflect the default risk associated with a single bond issue (Weber 2006) and thus are less likely to be influenced by CSR activities.
Goss and Roberts’ (2011) evidence is based on private debt extended by banks, which are considered pressure-sensitive institutions (Brickley et al. 1988). Credit rating agencies, in contrast, are less likely to depend on business relationships with the firms they rate and thus to serve as “gatekeepers” who protect investors’ and other stakeholders’ interests.
In 2009, KLD was acquired by RiskMetrics, which in turn was acquired by MSCI in 2010.
All results remain unchanged when we use an ordered logit framework.
One might expect credit rating agencies to give more weight to negative information because they are inherently conservative.
Brown and Forster (2013, p. 303) add that “Altruistic CSR projects are pursued without regard to economic benefits.”
Fixed effects models represent another approach to address omitted variable bias. However, Zhou (2001) stresses that if there is small within-firm variation in the explanatory variable (in our case, CSR performance proxies), fixed effects become inappropriate and reduce the power to find an effect, if any. In our data, we find that the autocorrelation coefficient on the CSR score is 0.875, implying that the CSR score is highly persistent.
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Appendices
Appendix A: Qualitative Issue Areas
We consider six qualitative issue areas: community, diversity, employee relations, environment, human rights, and product characteristics. Each area has a set of strengths and concerns as detailed below. We calculate a score for each area equal to the number of strengths minus the number of concerns. We also calculate an overall CSR score equal to the sum of all areas’ scores.
Concerns | Strengths |
---|---|
Community | |
Investment controversies | Charitable giving |
Negative economic impact | Innovative giving |
Indigenous peoples relations | Non-US charitable giving |
Tax disputes | Support for housing |
Other concern | Support for education |
Indigenous peoples relations | |
Volunteer programs | |
Other strength | |
Diversity | |
Controversies | CEO |
Non-representation | Promotion |
Other concern | Board of directors |
Work/life benefits | |
Women and minority contracting | |
Employment of the disabled | |
Gay and lesbian policies | |
Other strength | |
Employee relations | |
Union relations | Union relations |
Health and safety concern | No-layoff policy |
Workforce reductions | Cash profit sharing |
Retirement benefits concern | Employee involvement |
Other concern | Retirement benefits strength |
Health and safety strength | |
Other strength | |
Environment | |
Hazardous waste | Beneficial products and services |
Regulatory problems | Pollution prevention |
Ozone-depleting chemicals | Recycling |
Substantial emissions | Clean energy |
Agricultural chemicals | Communications |
Climate change | Property, plant, and equipment |
Other concern | Other strength |
Human rights | |
South Africa | Positive record in South Africa |
Northern Ireland | Indigenous peoples relations strength |
Burma concern | Labor rights strength |
Mexico | Other strength |
Labor rights concern | |
Indigenous peoples relations concern | |
Other concern | |
Product characteristics | |
Product safety | Quality |
Marketing/contracting concern | R&D/innovation |
Antitrust | Benefits to economically disadvantaged |
Other concern | Other strength |
Appendix B: Variable Definitions and Data Sources
Variables | Definition | Source |
---|---|---|
Dependent variable | ||
RATING | Standard & Poor’s long-term issuer credit ratings converted to an ordinal scale according to the following schedule: 8 (AAA), 7 (AA), 6 (A), 5 (BBB), 4 (BB), 3 (B), 2 (CCC), 1 (CC) | Authors’ calculations based on Compustat data |
CSR variables | ||
CSR_COM_S | The community score equals the number of strengths minus the number of concerns in the community qualitative issue area | MSCI ESG STATS |
CSR_DIV_S | The diversity score equals the number of strengths minus the number of concerns in the diversity qualitative issue area | As above |
CSR_EMP_S | The employee relations score equals to the number of strengths minus the number of concerns in the employee relations qualitative issue area | As above |
CSR_ENV_S | The environment score equals the number of strengths minus the number of concerns in the environment qualitative issue area | As above |
CSR_HUM_S | The human rights score equals the number of strengths minus the number of concerns in the human rights qualitative issue area | As above |
CSR_PRO_S | The product score equals the number of strengths minus the number of concerns in the product qualitative issue area | As above |
CSR_STR_S | The CSR strengths score equals the number of strengths in the community, diversity, employee, environment, human rights, and product characteristics qualitative issue areas | As above |
CSR_CON_S | The CSR concerns score equals the numbers of concerns in the community, diversity, employee, environment, human rights, and product characteristics qualitative issue areas | As above |
CSR_S | The CSR score equals the sum of the community, diversity, employee, environment, human rights, and product characteristics qualitative issue areas scores | As above |
Control variables | ||
SIZE | Natural logarithm of total assets in $ million | Authors’ calculations based on Compustat data |
COVERAGE | Earnings before interest and taxes plus interest expense divided by interest expense | As above |
MARGIN | Ratio of operating income to sales | As above |
LEVERAGE | Ratio of long-term debt to total assets | As above |
CAPINT | Ratio of property, plant, and equipment to total assets | As above |
BETA | Market beta estimated over the fiscal year using Dimson’s (1979) model with one lag and one lead of the CRSP value-weighted index | Authors’ calculations based on CRSP data |
LOSS | Indicator variable set to 1 if net income before extraordinary items is negative in the current and previous year, and 0 otherwise | Authors’ calculations based on Compustat data. |
NIO | Number of institutional investors holding the firm’s shares | Authors’ calculations based on Thomson 13-F data |
NPPFO | Number of public pension funds holding the firm’s shares | As above |
GINDEX | Gompers et al. (2003) index of 24 antitakeover provisions | Authors’ calculations based on RiskMetrics data |
STKMIX | Ratio of executives stock-based compensation to total compensation | Authors’ calculations based on ExecuComp data |
BIG4 | Indicator variable set to 1 if the firm hires a Big 4 auditor, and 0 otherwise | Authors’ calculations based on Compustat data |
ACOV | Number of analysts providing a one-year-ahead forecast of the firm’s earnings per share | I/B/E/S |
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Attig, N., El Ghoul, S., Guedhami, O. et al. Corporate Social Responsibility and Credit Ratings. J Bus Ethics 117, 679–694 (2013). https://doi.org/10.1007/s10551-013-1714-2
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DOI: https://doi.org/10.1007/s10551-013-1714-2