Abstract
Is corporate social responsibility (CSR) a tool for strategic positioning? While CSR is sometimes used as part of a differentiation strategy, this article analyzes which specific CSR strategies arise in response to competitive pressures. The results suggest that competitive pressures lead firms to increase their positive social actions without necessarily decreasing their social weaknesses. This positive impact varies with specific dimensions of CSR and industry specificities: (1) Competition improves social performance toward core stakeholders to a greater extent than social performance toward peripheral stakeholders. (2) This effect is more pronounced in B2C industries than in other industries. (3) Competition leads firms in “dirty” industries to ignore environmental initiatives.
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Notes
We use the terms “competition” and “competitive pressure” interchangeably in this article.
Waddock and Graves's (1997) weighting of corporate social performance is as follows: employee relations: 0.168; product: 0.154; community relations: 0.148; environment: 0.142; treatment of women and minorities: 0.136; nuclear power: 0.089; military contracts: 0.086; South Africa: 0.076.
The list of B2C four-digit SIC industries in the manufacturing sector, also used by Flammer (2015), is as follows: 2000–2399; 2500–2599; 2700–2799; 2830–2869; 3000–3219; 3420–3429; 3523; 3600–3669; 3700–3719; 375; 3850–3879; 3880–3999. The classification of B2C industries is obtained from Lev et al. (2010).
“Measuring Product Market Competition” section and “Appendix 2” explains how segment data are used to compute a firm-level indicator of competitive pressure, and why this reduces the persistence issue.
Tables 4 and 5 were additionally computed with first difference variables in order to further address endogeneity. The corresponding results do not show any significant results, and this is explained by the fact that CSR is sticky and do not vary much over time: Firms do not change drastically their CSR policies from one year to another.
Abbreviations
- ACSR:
-
Aggregate corporate social responsibility
- B2C:
-
Business-to-consumer
- BLS:
-
Bureau of labor statistics
- CSP:
-
Corporate social performance
- CSR:
-
Corporate social responsibility
- fHHI:
-
fitted HHI
- HHI:
-
Herfindahl–Hirschmann Index
- KLD:
-
Kinder Lydenberg Domini
- MSCI:
-
Morgan Stanley Capital International
- NGO:
-
Nongovernmental Organization
- OLS:
-
Ordinary least squares
- R&D:
-
Research and Development
- ROA:
-
Return on assets
- RSE:
-
Robust standard errors
- S&P500:
-
Standard and poor’s 500
- SIC:
-
Standard industrial classification
- wACSR:
-
weighted ACSR
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Acknowledgments
The authors thank Nihat Aktas, Helen Bollaert, Kais Bouslah, Eric de Bodt, Pascal Grandin, Abdelmajid Hmaittane, Gel Imad'Eddine, Frédéric Lobez, and Dhoha Trabelsi for their very helpful comments; Gunther Cappelle-Blancart, Aurélien Petit, and the participants of the "Frontiers of Finance" conference at the University of Paris Panthéon Sorbonne; Vanina Forget, Lars Hassel, Sébastien Pouget, Bert Scholtens, and the participants of the PRI-CBERN PhD symposium 2012 at the University of Toronto; and Céline Louche, Jean-Pascal Gond, and the participants of the CSR research seminar at the Brussels Vlerick Business School. The authors also thank the participants of the Vlerick Brown Bag Seminar Series for their valuable suggestions. The initial development of this research idea was positively influenced by the “pitching template” created by Faff (2015a, 2015b). (Faff, R., 2015a. A Simple Template for Pitching Research, Accounting & Finance. 5(2), 311-336; Faff, R., 2015b. Pitching Research. Available at SSRN: http://ssrn.com/abstract=2462059 or http://dx.doi.org/10.2139/ssrn.2462059). All errors are our own. We gratefully acknowledge support from the Social Sciences and Humanities Research Council of Canada (SSHRC).
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Appendices
Appendix 1: KLD Social Ratings—List of Items
Qualitative issue area | Strength items | Concern items |
---|---|---|
Community | Charitable giving | Investment controversies |
Innovative giving | Negative economic impact | |
Support for housing | Tax disputes | |
Support for education (from 1994) | Other concern | |
Non-US charitable giving | ||
Volunteer programs (from 2005) | ||
Other strength | ||
Corporate governance | Limited compensation | High compensation |
Ownership strength | Ownership concern | |
Transparency strength | Accounting concern (from 2005) | |
Political accountability strength (from 2005) | Transparency concern (from 2005) | |
Public policy strength | Political accountability concern (from 2005) | |
Other strength | Public policy concern | |
Other concern | ||
Diversity | CEO | Controversies |
Promotion | Non-representation | |
Board of directors | Other concern | |
Work–life benefits | ||
Women and minority contracting | ||
Employment of the disabled | ||
Gay and lesbian policies (from 1995) | ||
Other strength | ||
Employee relations | Union relations | Union relations |
No-layoff policy (through 1994) | Health and safety concern | |
Cash profit sharing | Workforce reductions | |
Employee involvement | Retirement benefits concern | |
Retirement benefits strength | Other concern | |
Health and safety strength | ||
Other strength | ||
Environment | Beneficial products and services | Hazardous waste |
Pollution prevention | Regulatory problems | |
Recycling | Ozone depleting chemicals | |
Clean energy | Substantial emissions | |
Property, plant, equipment (through 1995) | Agriculture chemicals | |
Management systems strength | Climate change (from 1999) | |
Other strength | Other concern | |
Human rights | Positive Record in S. Africa (1994–1995) | South Africa (1991–1994) |
Indigenous people relations strength (from 2000) | Northern Ireland (1991–1994) | |
Labor rights strength (from 2002) | Burma concern (from 1995) | |
Other strength | Mexico (1995–2002) | |
Labor rights concern (from 1998) | ||
Indigenous people relations concern (from 2000) | ||
Other concern | ||
Product quality and safety | Quality | Product safety |
R&D innovation | Marketing contracting concern | |
Benefits to economically disadvantaged | Antitrust | |
Other strength | Other concern |
Appendix 2: Endogeneity and Lagged Variables
The relationship between competition and CSR might be endogenous. This appendix examines the degree to which endogeneity is sufficiently addressed in the text. We are interested in how CSR strategies evolve in response to competitive pressure, but competitive pressure itself could be influenced by CSR strategies. That is, even though CSR may intensify or introduce existing competition, this is not the effect on which we focus.
Two of the empirical manipulations relate to the treatment of endogeneity: the use of lagged independent variables on one side and the computation of a firm-level indicator of concentration based on segment data. Lagged independent variables are common responses to threats of endogeneity, but this technique is valid only if the variable is not too persistent over time. If an observation in t is very close to an observation in t − 1, lagging the variable is useless.
However, we reduce the persistence of the fitted HHI variable by computing a firm-level fitted HHI. In doing so, we account for the fact that a firm may operate on multiple segments and that the share of sales in each segment likely varies over time. Taking the concentration of the main industry to which a firm belongs to as a proxy for competitive pressure at the firm-level would ignore its activity in other segments. Therefore, it makes sense to account for the concentration ratio of each segment in which the firm is operating. And since the share of sales in each segment varies over time, the firm-level indicator becomes less sticky over time, reducing the persistence issue. Thus, to reduce the persistence issue, we compute an indicator that combines the concentration of each segment in which the firm is operating. The related computation details are provided in “Measuring Product Market Competition” section.
To move from an industry- to a firm-level indicator of industry concentration, we must acknowledge that one firm can operate on several industries. In such cases, Compustat defines separate segments to which a SIC code can be assigned. The share of sales in each segment recorded for one firm indicates segment weights. Applying these weights to each segment’s fitted HHI reveals the firm-level fitted HHI.
The fitted HHI thus has two sources of variation over time: either industry segments’ concentrations evolve or segment weights differ. The persistence of industry concentration might be high, but adding one time-varying dimension (segment weights) reduces the persistence of the variable. Thus, we regress the fitted HHI on lagged fitted HHI for, successively, industry- and firm-level fitted HHI. Table 8 provides the results of both regressions. Because we are dealing with panel data, we use a random effects estimator with standard errors clustered at the firm level.
The coefficient for the lagged fitted HHI diminished from .989 to .897 when we moved to the firm level. The R-square also declined (from .939 to .842), so the explanatory power of the lagged values was lower when we break the fitted HHI down to the firm level. A coefficient of 0.897 is still high and indicates that even after controlling for segment data, our indicator is relatively sticky over time. However, this likely reflects the reality: Competitive pressure generally does not change drastically from 1 year to another.
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Dupire, M., M’Zali, B. CSR Strategies in Response to Competitive Pressures. J Bus Ethics 148, 603–623 (2018). https://doi.org/10.1007/s10551-015-2981-x
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DOI: https://doi.org/10.1007/s10551-015-2981-x