Abstract
Does CEO tolerance to risk affect a firm’s long-run sustainability? Using CEO insider debt holding, we show that CEO’s risk-aversion encourages immoral yet rational decisions of emitting more greenhouse gas thereby adversely affecting the firm’s long-run sustainability. Our result is robust to several endogeneity tests including a quasi-natural experiment. Our finding also suggest that to mitigate potential adverse reactions from stakeholders, carbon emitting firms with risk-averse CEOs tend to spend more on CSR activities. Much of the heterogeneity in our results are attributed to companies with weaker governance, powerful CEOs, and operating in a competitive product market. Overall, contrary to conventional wisdom, CEO preference toward risk-aversion can often lead to unethical outcomes (environmental degradation) and especially appears to be a key determinant for firm-level carbon emissions.
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Notes
According to the US Environmental Protection Agency (EPA), 76% of greenhouse gas emissions come from CO2 (https://www.epa.gov/ghgemissions/global-greenhouse-gas-emissions-data).
For instance, the mounting pressure from pension funds, one of the strongest institutional ownership blocks, is gradually forcing corporations to reduce GHG emissions in the future. Four pension funds—APG Asset Management and PGGM (both from the Netherlands), British Columbia Investment Management Corporation (Canada), and Australian Super (Australia)—with a total asset under management of $1 trillion, have initiated an online tool that will gauge corporate green scores against the UN sustainable development goals for 8000 companies.
(https://www.bloombergquint.com/onweb/global-pension-giants-start-green-investing-tool-to-rank-firms).
For instance, Jung et al. (2018) and Herbohn et al. (2019) find that GHG-emitting firms pay the higher cost of debt, while Matsumura et al. (2014) show that every additional thousand metric tons of carbon emissions causes an average decrease of $212,000 of the market value of US carbon-emitting firms.
At the macro-level, many climate scientists have been urging countries worldwide, and in particularly developed ones, to reach net-zero greenhouse gas emissions by 2050 (e.g., Millar et al., 2017). However, of the 184 signatory countries to the Paris Agreement, only 12% are capable of meeting the milestone of reducing GHG emissions by 50% in 2030 (Burki et al., 2021).
That includes a lower cost of equity (Dhaliwal et al., 2011; El Ghoul et al., 2011 and 2018), a lower cost of debt (Goss and Roberts 2011), improved access to financial capital (Attig et al., 2014), a better market valuation (Bae et al., 2019; Boubakri et al., 2016), easier access to credit (Cheng et al., 2014), a better credit rating (Attig et al., 2013), better governance (Attig et al., 2016; El Ghoul et al., 2016 & 2019), a lower risk of a stock price crash (Kim et al., 2014), more corporate innovation (Chkir et al., 2021), an enhanced reputation (Cui et al., 2018), a better performance in the post-merger period (Deng et al., 2013), and better relationships with the policymakers (Brown et al., 2006).
We would like to thank Lalitha Naveen for sharing the data.
To mitigate the concern with the multicollinearity problem, we also check the variance inflation factor (VIF) of the variables included in the analysis. We find that the highest VIF is 2.56 for Tangibility, followed by 2.30 for Capex. The rest of the VIFs are below 1.93. The average is 1.54. These VIFs indicate that multicollinearity is not a concern for our analysis.
We thank an anonymous reviewer for suggesting these tests.
The IRS noted that “Effective as of 2009, all plans must be in compliance with the final regulations, both in form and operation.” See http://www.irs.gov/businesses/corporations/nonqualified-deferred-compensation-audit-techniques-guide .
Following Shen and Zhang (2020), we use a match within a caliper of 1%.
We thank an anonymous reviewer for motivating us to undertake this test.
Some recent studies show that higher CIDH is associated with higher CSR scores (Kim et al., 2020; Wu and Lin, 2019). Before we started to test the moderating influence of CSR on the CIDH-GHG relation, we ensured that our sample held the positive association between CIDH and CSR as found in the recent literature. In untabulated results, we find that CEORELDE is positively related to the CSR score (coefficient for CEORELDE = 0.0263; p < 0.10); the same is true when we use CEODE as a proxy for CIDH.
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Acknowledgements
We specially thank Greg Shailer (the editor) and two anonymous reviewers for helping us improve the manuscript. We thank Walid Ben Amar, Gurmeet Bhabra, Harjeet Bhabra, Lamia Chourou, Imed Chkir, Sean Cleary, Sara Ding, Darlene Himick, Mostafa Hasan, Majidul Islam, Kose John, Jon Keller, Scott Linn, Xiaobing Ma, Abdullah Al Masum, Jinghua Nie, Hatem Rjjiba, Mingyue Zhang, and Ligang Zhong for their valuable comments on earlier version of the paper. We also thank seminar participants at Memorial University of Newfoundland for their comments. A. Hossain thanks Memorial University of Newfoundland and the Social Sciences and Humanities Research Council of Canada (SSHRC, Grant #430-2020-00275) for providing financial support. We thank William Schipper for his excellent copy editing work. We thank Meghraj Mukhopadhyay for his research assistance. All remaining errors are our own.
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Appendices
Appendix A
See Table 11.
Appendix B: Agency intensity score
In this paper, we build an agency measure called Agency Intensity Score. This is basically an 8-point scale score consisting of eight commonly used proxies for agency. In financial economics literature, numerous proxies are used, ranging from one proxy to as many as four proxies in a given study. We have taken a more holistic approach and thus we have built this index. We believe it is not prone to cherry picking and gives attention to various agency proxies that are available. Following is the list of the variables:
(a) Residual free cash flow If a firm has above the median residual free cash flow then it gets one point toward the Agency Intensity Score (high residual free cash flow = high agency).
(b) Leverage If a firm has below the median leverage then it gets one point toward the Agency Intensity Score (low leverage = high agency).
(c) Dividend payout If a firm pays below the median level of dividend then it gets one point toward the Agency Intensity Score (low dividend payout = high agency).
(d) R&D If a firm has above the median level of R&D expenses then it gets one point toward the Agency Intensity Score (high R&D = high agency).
(e) Intangible assets If a firm has above the median level of intangible assets then it gets one point toward the Agency Intensity Score (high intangible assets = high agency).
(f) Board cooption If a firm’s board has above the median percentage of coopted directors (directors who were hired after the current CEO started in his/her position) then it gets one point toward the Agency Intensity Score (high board cooption = high agency).
(g) Board independence If a firm’s board has below the median percentage of independent directors (outside directors) then it gets one point toward the Agency Intensity Score (low board independence = high agency).
(h) Institutional ownership If a firm’s total institutional ownership in percentage is below the median then it gets one point toward the Agency Intensity Score (low institutional ownership = high agency).
Mathematically, a firm can score between 0 and 8 in the Agency Intensity Score scale with a higher score indicating a higher level of agency issues. The mean (median) of our sample is 3.89 (4) with a min (max) value of 0 (8).
Appendix C
See Table 12.
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Hossain, A., Saadi, S. & Amin, A.S. Does CEO Risk-Aversion Affect Carbon Emission?. J Bus Ethics 182, 1171–1198 (2023). https://doi.org/10.1007/s10551-021-05031-8
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DOI: https://doi.org/10.1007/s10551-021-05031-8