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Corporate Social Responsibility and Credit Ratings

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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

  1. 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.

  2. 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).

  3. 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.

  4. 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.

  5. In 2009, KLD was acquired by RiskMetrics, which in turn was acquired by MSCI in 2010.

  6. All results remain unchanged when we use an ordered logit framework.

  7. One might expect credit rating agencies to give more weight to negative information because they are inherently conservative.

  8. Brown and Forster (2013, p. 303) add that “Altruistic CSR projects are pursued without regard to economic benefits.”

  9. 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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Correspondence to Omrane Guedhami.

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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