Financing Constraints and Workplace Safety

AuthorJONATHAN B. COHN,MALCOLM I. WARDLAW
Published date01 October 2016
Date01 October 2016
DOIhttp://doi.org/10.1111/jofi.12430
THE JOURNAL OF FINANCE VOL. LXXI, NO. 5 OCTOBER 2016
Financing Constraints and Workplace Safety
JONATHAN B. COHN and MALCOLM I. WARDLAW
ABSTRACT
We present evidence that financing frictions adversely impact investment in work-
place safety,with implications for worker welfare and firm value. Using several iden-
tification strategies, we find that injury rates increase with leverage and negative
cash flow shocks, and decrease with positive cash flow shocks. We show that firm
value decreases substantially with injury rates. Our findings suggest that invest-
ment in worker safety is an economically important margin on which firms respond
to financing constraints.
OVER 3.5 MILLION WORKPLACE INJURIES and illnesses occur in the United States
each year. The estimated annual cost of these injuries is $250 billion, more
than the cost of all forms of cancer combined (Leigh (2001)). While workplace
safety has been studied extensively in fields as diverse as industrial relations,
operations management, and industrial-organizational psychology, its connec-
tions with finance remain largely unexplored. This paper studies how financing
constraints impact workplace safety, which has implications for firm value and
employee welfare.
Firms invest resources in improving workplace safety just as they invest
in research and development, property, plant, and equipment, and organiza-
tional capital. As with other forms of investment, spending on safety must
be financed out of either internal cash flow or externally raised capital. In
a world with financing frictions, a firm’s investment may be sensitive to the
financial resources available to finance that investment. Thus, the safety of
a firm’s workplaces could depend on the financial resources at its disposal.
Jonathan B. Cohn is with the University of Texas at Austin. Malcolm I. Wardlaw is with the
University of Texas at Dallas. Wewould like to thank Michael Roberts (Editor), the Associate Edi-
tor,two anonymous referees, Manuel Adelino, Ashwini Agrawal, Andres Almazan, Heitor Almeida,
Aydo ˘
gan Altı, Sugato Bhattacharyya, Andres Donangelo, Jay Hartzell, Marcin Kacperczyk, David
Matsa, Marco Pagano, Gordon Phillips, Giovanni Pica, Uday Rajan, Adriano Rampini, Avri Ravid,
Nancy Rose, Bill Schwert, Amit Seru, Denis Sosyura, Sheridan Titman, Yongxiang Wang, Toni
Whited, and seminar participants at the University of British Columbia, University of Illinois at
Urbana–Champaign, University of Michigan, New York University, University of Oklahoma, Uni-
versity of Rochester, University of Southern California, University of Texas at Austin, University
of Texas at Dallas, Bureau of Labor Statistics, 2013 CSEF Conference on Finance and Labor, and
2014 AFA for their comments. We would also like to thank Nicole Nestoriak from the Bureau
of Labor Statistics for her assistance with the injury data. This paper benefited greatly from a
UT–Austin McCombs Research Excellence Grant. The authors have read the Journal of Finance’s
disclosure policy and have no conflicts of interest to disclose.
DOI: 10.1111/jofi.12430
2017
2018 The Journal of Finance R
Investment in safety may be especially vulnerable to cuts in the face of financing
constraints, as its payoffs accrue slowly over time and are difficult to evaluate.
In this paper, we explore the impact of financing constraints on workplace
safety by examining the sensitivity of workplace injury rates to the financial
resources available to a firm using establishment-level injury data from the
Bureau of Labor Statistics’ (BLS) annual Survey of Occupational Injuries and
Illnesses (SOII). As we lack exogenous variation in financial resources with
which to completely isolate the effect of financing on injuries, we employ sev-
eral empirical strategies. Each approach produces evidence pointing toward
increased financial resource availability leading to fewer injuries, suggesting
that financing constraints impair investment in safety. While any one piece of
evidence is open to alternative interpretations, the evidence taken together is
difficult to reconcile with any specific alternative.
We begin by examining the empirical relationship between injury rates and
well-established drivers of a firm’s capacity to finance investment, including
cash flow, cash balances, and financial leverage. Cash balances and cash flow
are sources of internal financing. Debt reduces cash flow through interest pay-
ments, and existing debt claims can make it difficult to raise additional external
capital (Myers (1977)). Prior research shows that investment in general tends
to increase with available cash (e.g., Fazzari, Hubbard, and Petersen (1988),
Lamont (1997), Rauh (2006)) and decrease with leverage (e.g., Denis and Denis
(1993), Lang, Ofek, and Stulz (1996)). If investment in safety is sensitive to a
firm’s financial resources, then injury rates should decrease with cash flow and
cash balances and increase with leverage.
We find a robust positive relation between injury rates and leverage, con-
trolling for establishment and firm characteristics as well as establishment,
industry-year, and state-year fixed effects. A one-standard-deviation increase
in a firm’s debt-to-assets ratio is associated with a 5.6 percentage point in-
crease in total workplace injuries the following year, relative to the sample
mean injury rate. It is further associated with a 6.5 percentage point increase
in injuries serious enough that the injured employee misses at least one full
day of work, suggesting that it is not just minor injuries that are sensitive
to leverage. These estimates are larger than existing estimates of the impact
of penalty-imposing Occupational Safety and Health Administration (OSHA)
inspections or plant unionization on workplace injury rates (Mendelhoff and
Gray (2005)). Injury rates are sensitive to at least the first two annual lags of
leverage but are unrelated to contemporaneous and future leverage, partially
alleviating concerns about reverse causality.
Injury rates show strong negative relations with cash flow and cash balances
in the cross-section. However, these relations disappear when we control for
establishment fixed effects, suggesting that they may be driven by unobserved
firm- or establishment-level heterogeneity. We also find some evidence that
injury rates are negatively related to dividend payout and firm size. As these
characteristics are often seen as inverse proxies for the severity of financing
constraints, this evidence provides added support for the role of financing con-
straints in limiting investment in safety.Overall, the results from this analysis
Financing Constraints and Workplace Safety 2019
provide some support for the hypothesis that injury rates decrease with finan-
cial resources, though the evidence here is far from conclusive.
Tobetter isolate the effect of financial resources on injury rates, we next study
three quasi-natural experiments involving cash flow shocks. These include a
repatriation tax holiday in 2004, the onset of the financial crisis in 2007 and
2008, and large oil price fluctuations during the 2000s. Variants of each have
been used in prior papers to study the effect of cash flow on capital investment.1
The cash flow shocks involved are large, plausibly exogenous with respect to
injury rates, uncorrelated with each other, and affect some firms but not others.
We exploit this last feature to conduct difference-in-differences analysis using
matched samples, which mitigates though does not eliminate concerns about
unobserved counterfactual changes in injury rates absent a shock. One useful
feature of the set of experiments we study is that exposure is almost completely
uncorrelated across the three, suggesting that they can be treated as three
independent tests.
The results of these tests broadly support a negative (positive) response of
injury rates to a positive (negative) cash flow shock, especially in firms with
higher leverage. The estimates imply that, on average, a firm’s injury rate
would fall by 8.4 to 11.9 percentage points in response to a one-standard-
deviation increase in its cash flow. We verify that the difference-in-differences
estimates are unlikely to be driven by ex ante differences in treated and control
establishments or by differential preexisting trends in injury rates. While we
cannot rule out the possibility that unobserved factors correlated with future
trends in injury risk impact assignment, they would have to do so in ways that
coincidentally produce consistent results across three separate experiments to
explain the results. We also explicitly consider specific omitted characteristics,
such as managerial skill and production technology, and conclude that it would
be difficult for any single characteristic to explain all of the results in the paper.
The weight of the evidence thus appears to support financing constraints as
the most likely mechanism driving the results.
Stakeholder theory argues that a firm indirectly bears costs, in expectation,
that its financial policies impose on nonfinancial stakeholders such as employ-
ees ex post (Titman (1984)). The natural channel in the case of costs due to
higher workplace injury risk is a compensating wage differential that employ-
ees require to bear this risk. Firms may also bear costs directly in the form of
decreased productivity resulting from increased downtime and poor employee
morale.2In the last part of our analysis, we find a substantial negative rela-
tion between firm value and injury rates, with firm value decreasing by 6.1%
for each one-standard-deviation increase in injury rate. While we cannot rule
out the possibility of alternative explanations for this relation, the estimates
1Dharmapala, Foley,and Forbes (2011) and Faulkender and Petersen (2012) examine the effect
of the repatriation tax holiday, Almeida et al. (2012) study the effect of the onset of the financial
crisis, and Lamont (1997) studies the effect of an oil price shock in 1985.
2Danna and Griffin (1999) argue that these costs are likely to be greater than those due to
compensating wage differentials.

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