Effect of regulatory oversight on the association between internal governance characteristics and audit fees
doi: 10.1111/j.1467-629x.2007.00229.x
We thank participants at the American Accounting Association 2006 Annual Meeting for their useful comments. We also thank S. Y. Goh, H. L. Sim and S. L. Sim for research assistance. We gratefully acknowledge the financial support provided by Nanyang Technological University.
Abstract
We examine the relationship between internal governance, external audit monitoring and regulatory oversight for a sample comprising industrial companies and financial/utility companies subject to additional industry-specific regulation. Our results indicate that the association between audit fees and board/audit committee independence and size are weaker for regulated companies. These observations are consistent with the notion that regulatory oversight partially substitutes the external audit as a monitoring mechanism. However, boards/audit committees with more multiple directorships demand a more extensive audit in the presence of regulatory oversight to protect their reputation capital. Our study enhances our understanding of the complex relationships among the major corporate governance elements.
1. Introduction
Prior studies find that stronger corporate governance is associated with higher audit fees (Chan et al., 1993; Collier and Gregory, 1996; O'Sullivan, 1999, 2000; Carcello et al., 2002). They suggest that independent directors demand additional assurance from the auditor to protect their reputation capital. However, it is not clear if this association holds for companies subject to additional industry-specific regulatory oversight, such as financial and utility companies (henceforth known as regulated companies).1 We investigate regulated companies for two primary reasons. First, there is a paucity of research on the association between internal corporate governance and audit fees in regulated industries. Noting the absence of corporate governance research in regulated industries, Cohen et al. (2004) and DeFond and Francis (2005) call for research to examine how industry regulation influences corporate governance practices. Second, regulated companies provide an interesting context because of their unique operating and financial structure, different reporting requirements and additional regulatory oversight.
Regulatory oversight could affect governance in two ways. First, closer monitoring by industry-specific regulators (henceforth known as regulators) reduces information asymmetries and, therefore, the level of oversight required from corporate governance mechanisms, such as the board, audit committee and the external auditor (Demsetz and Lehn, 1985; Smith and Watts, 1992; Bryan and Klein, 2005). More specifically, Dunn and Mayhew (2004, p. 40) state: ‘. . . in addition to SEC monitoring, government regulation in certain industries establishes an agency overseeing the economic regulation of the industry, serving a monitoring role similar to the role of the auditor in the financial reporting process . . . an audit's value in enhancing disclosure and providing a signal of disclosure quality is diminished by the reduction in information asymmetry generated by the additional regulatory oversight.’ Second, regulatory oversight demands a greater level of responsibility and increases the risk of costly lawsuits if the directors fail to discharge their governance duties. Therefore, regulatory oversight provides greater incentives, especially for directors with more reputation capital at stake, to demand a more extensive audit.
The present study provides evidence on the nature of the relationship between three corporate monitoring mechanisms: board/audit committee, external auditor and regulators. We distinguish our study from prior research as follows. First, we provide evidence on the relationship between regulatory oversight, internal corporate governance mechanisms such as the board and audit committee, and external audit monitoring for a sample of listed regulated and non-regulated companies. Second, we extend prior research by demonstrating that the association between internal corporate governance and the extent of external audit monitoring is conditional on the presence of regulatory oversight. Third, we theoretically and empirically distinguish the constructs of board/audit committee reputation from independence, and their effect on monitoring provided by the external auditor. In doing so, we respond to the call by DeFond and Francis (2005) to develop theoretical explanations regarding how and why the board and audit committee influence the financial reporting and audit processes.
Our sample consists of 469 large US listed companies comprising 252 financial and utility companies, and 217 companies in non-regulated industries in 2001. Following recent studies (e.g. Goodwin-Stewart and Kent, 2006; Yatim et al., 2006), we examine both the board and audit committee. To study one without the other introduces confounding effects as they are integral to the effective monitoring of the financial reporting and audit processes (Cohen et al., 2002). We achieve this through a factor analysis because the board and audit committee variables are naturally highly correlated.
Consistent with the partial substitution effect of regulatory oversight for monitoring by the external auditor, we find that regulated companies incur lower audit fees than non-regulated companies. Our results further indicate that regulatory oversight influences the association between internal corporate governance and the extent of auditing provided by the external auditor. More specifically, we find that board/audit committee independence and size depress audit fees in regulated companies vis-à-vis non-regulated companies. These observations are consistent with the notion that industry-specific regulatory oversight reduces information asymmetry; hence, diminishing the extensiveness of the external audit. Companies subject to regulatory oversight more vigilantly monitor their internal controls and financial reporting process. The Basel Committee on Banking Supervision (2001) emphasizes the importance of strong internal controls and an effective internal audit function in banks. Banking supervisors must be satisfied that effective policies and practices are followed and that management takes appropriate corrective action to address control weaknesses. Therefore, internal and regulatory vigilance reduce control and reporting risks and, consequently, the level of monitoring demanded from the external auditor. Given that regulated companies have stronger internal controls and monitoring over financial reporting, the external auditor perceives lower risks and, hence, reduces the extent of costly audit testing. Taken together, these demand and supply effects explain the lower audit fees in regulated companies.
We further observe that regulatory oversight strengthens the association between multiple directorships and higher audit fees. Because directors serving on multiple boards have more reputation capital to protect, they demand additional assurance from the auditor. Regulatory oversight increases the likelihood of detection and the gravity of consequences arising from directors’ failure in discharging their governance responsibilities. Therefore, regulatory oversight provides greater incentives for directors with higher reputation capital to demand a more extensive audit. From a supply perspective, auditors perceive audit risk to be higher and, therefore, expend greater effort when directors in regulated companies are more likely to devote insufficient time to their role by serving on multiple boards.
Our findings are interesting because we illustrate the interplay between three major corporate governance elements. First, consistent with the proposition of Dunn and Mayhew (2004), we provide evidence that regulatory oversight reduces the need for an extensive external audit. Second, drawing on economic theory, we posit and show that independent directors perceive a diminished value of external audit monitoring in the presence of regulatory oversight and, hence, they limit external audit costs. However, the limit on external audit costs is lifted when directors serving on multiple boards seek to protect their reputation capital by demanding additional assurance from the auditor. Our findings are also explained from the supply side perspective in that auditors perceive lower risk in regulated companies and, therefore, design and execute less extensive audits, which lowers audit fees. Conversely, auditors perceive greater risk in the control environment when directors devote insufficient time to their role. Therefore, they conduct more extensive audit tests that manifest in higher fees.
The remainder of this paper is organized as follows. The next section reviews the prior literature and develops our research hypotheses. Next, we describe the research method followed by a discussion of the results. The final section presents the implications of the results and concludes the study.
2. Background and hypotheses
2.1. Corporate governance and audit fees
The statutory audit is an important governance mechanism through which shareholders monitor management, given the separation of ownership from management. Results on the association between corporate governance and audit fees are generally mixed in prior studies. Studies that focus on corporate governance risk argue and find that corporate governance is associated with lower audit fees (e.g. Bedard and Johnstone, 2004). This stream of literature proposes that external auditors consider the quality of monitoring provided by internal governance in their risk assessment and audit planning. Bedard and Johnstone (2004) argue that external auditors perceive greater director independence is associated with stronger internal controls and lower risk of financial misreporting. Consequently, external auditors are likely to reduce the extent of audit tests.
In contrast, studies that adopt a demand-based perspective argue that directors with greater reputation capital at risk demand a more extensive audit to protect their reputation capital and reduce the risk of litigation (e.g. O'Sullivan, 1999, 2000; Carcello et al., 2002; Abbott et al., 2003; Goodwin-Stewart and Kent, 2006). This stream of literature uses director independence as a measure of directors’ desire to protect their reputation capital. Therefore, a potential contribution to the literature relates to alternative explanations of the effects of board/audit committee independence on audit fees. We extend the literature by dissecting apart the effects of board/audit committee independence, reputation and regulatory oversight on audit fees. As elaborated later in the present paper, we theoretically and empirically distinguish the constructs of board/audit committee reputation from independence and their effects on audit fees. In doing so, we address concerns raised by DeFond and Francis (2005) to develop theoretical explanations regarding how and why the board and audit committee influence the financial reporting and audit processes.
Following recent studies (Goodwin-Stewart and Kent, 2006; Yatim et al., 2006) and as the audit committee is taking a more active and independent role in selecting the auditor and monitoring the audit process, we include characteristics of the audit committee in addition to those of the board. Cohen et al. (2002) suggest that as the audit committee needs the strong support of the board to discharge its duties effectively, examining audit committee effects without the board introduces confounding effects. We investigate three constructs of the board of directors and the audit committee – independence, reputation and size – in the context of regulatory oversight.
2.2. The effect of regulatory oversight
Cohen et al. (2004) present a corporate governance framework that encompasses both internal monitoring mechanisms (e.g. corporate board, audit committee, and internal and external auditing) and external monitoring agencies (e.g. regulators, analysts and stockholders). Their framework suggests the interrelationships among the internal governance agencies are affected by outside forces, such as regulators. The existence of monopoly power, externalities and informational asymmetries create a potentially constructive role for government regulation to reduce market failures and enhance social welfare. Because financial institutions and utility companies are highly complex businesses and enjoy market and political power, they are difficult to monitor. Absence of effective monitoring can lead to expropriation and market failure (e.g. bank runs, when depositors withdraw money from banks because they think they will fail, could cause a domino effect on other industries). Such concerns favour government intervention to regulate economic activities (Pigou, 1938; Stigler, 1971) as exemplified by industry-specific regulation of financial institutions (Sierra et al., 2006) and utility companies (Russo, 1992).
Government regulatory oversight could impact the demand for additional assurance from the external auditor. Prior research (e.g. Dunn and Mayhew, 2004; Bryan and Klein, 2005) suggests that regulatory oversight provides close monitoring that could potentially reduce the role of external auditing as a control mechanism. Financial and utility companies are subject to closer regulatory oversight as they are essential services and they play a critical role in economic development. This and other differences between the nature of regulated and non-regulated companies have led some to view regulatory oversight of the industry as a substitute for corporate governance, or at least to view internal governance as less critical to the conduct and operation of regulated companies (Stoll, 1998; Adams and Mehran, 2003). Although we do not subscribe to the view that regulatory oversight reduces the importance of corporate governance, we believe that regulatory oversight could affect board/audit committee's demand for external audit monitoring. In other words, as stricter requirements are imposed on regulated companies, economic theory suggests that regulated companies’ investment in compliance and risk-reduction strategies could accommodate a reduced level of costly external audit monitoring.
Given the substitution effect of regulatory oversight for external auditing (Dunn and Mayhew, 2004; Bryan and Klein, 2005), we posit that the extensiveness of the external audit is lower in regulated companies with stronger corporate governance than non-regulated companies. However, the demand for the extent of the external audit is dependent on the risks and incentives facing the directors serving on the board and audit committee. Similarly, the level of audit effort applied by the auditor is dependent on the auditor's assessment of client-related risks. We develop theoretical propositions from demand-based and risk-based perspectives and hypothesize how regulatory oversight moderates the association between audit fees and board/audit committee independence, multiple directorships and size.
2.3. Board/audit committee independence
Management has incentives to misrepresent financial results for opportunistic reasons given shareholder–manager conflict of interests (Jensen and Meckling, 1976). The potential for such opportunistic behaviour could be reduced if there is monitoring by independent directors (Beasley et al., 2000; Carcello and Neal, 2000, 2003; Carcello et al., 2002; Abbott et al., 2004). The literature suggests that independent directors are effective monitors as they do not have financial interest in the company and psychological ties to management. Therefore, they are in a better position to objectively challenge management (e.g. Beasley, 1996; Klein, 2002; Abbott et al., 2004) and support the auditor. Carcello et al. (2002) and Abbott et al. (2003) support this view by providing empirical evidence of an association between the proportion of independent directors and higher audit fees. Bedard and Johnstone (2004) also argue that higher independent director representation on the board and audit committee provides more vigilant oversight of the financial reporting process. This view is corroborated by prior studies that investigate the relationship between director independence and financial misreporting (e.g. Beasley, 1996; Klein, 2002; Abbott et al., 2004; Anderson et al., 2004).
We extend the literature by examining how regulatory oversight affects the association between board/audit committee independence and audit fees from both demand and supply perspectives. From a demand perspective, we posit that independent boards/audit committees in regulated companies have a lesser need for external audit monitoring given the partial substitution of regulatory oversight for external auditing (Dunn and Mayhew, 2004; Bryan and Klein, 2005). From a supply perspective, external auditors perceive lower informational asymmetries and risk of financial misreporting in regulated companies given stringent regulatory oversight and increased controls. By relying on effective external and internal monitoring processes, auditors could reduce the extent of costly testing procedures in regulated companies. Therefore, we expect regulatory oversight to weaken the association between independent board/audit committee and higher audit fees:
H1: Regulatory oversight weakens the association between board/audit committee independence and higher audit fees.
2.4. Board/audit committee multiple directorships
Fama and Jensen (1983) contend that multiple board appointments signal director quality. Kaplan and Reishus (1999), Vafeas (1999) and Abbott and Parker (2000) likewise suggest that the number of directorships is a measure of a director's reputation capital. These authors reason that directors effective in their monitoring of management influence firm performance and are consequently offered more board seats. Ferris et al. (2003) provide more recent evidence of this association.
To protect their reputation capital, directors with multiple directorships demand additional assurance from the auditor. Directors serving on multiple boards are more visible in the directorate market, have more responsibilities across companies and, hence, face higher risk of litigation (Carcello et al., 2002). Multiple directorships could also reduce directors’ time and focus they could devote to each board; hence, constraining their monitoring effectiveness (Shivdasani and Yermack, 1999). To compensate for this constraint, such directors demand more assurance from the auditor. From a supply perspective, auditors are likely to perceive audit risk to be higher and consequently perform more audit work when directors dilute their attention and focus by serving on multiple boards.
The ramifications of non-compliance and misreporting are greater for regulated industries as failure of regulated companies, such as banks and utilities, results in significant losses to investors, and disrupts social welfare and the economy (Tadesse, 2006). Regulatory oversight increases both the likelihood of detection and the gravity of consequences arising from directors’ failure in discharging their governance responsibilities. Boards/audit committees in regulated companies have greater incentives to protect their reputation and they can do this by demanding additional assurance from the auditor. As the consequences of an audit failure are severe in regulated companies, the external auditor is likely to design and execute a more extensive audit. If auditors perceive multiple directorships to increase client-related risks as the directors devote insufficient time to their role, then the risk-based perspective suggests that the auditors would perform more extensive audit tests. The demand and risk-based perspectives together suggest that regulatory oversight strengthens the association between board/audit committee multiple directorships and higher audit fees:
H2: Regulatory oversight strengthens the association between board/audit committee multiple directorships and higher audit fees.
2.5. Board/audit committee size
Jensen (1993, p. 865) states that: ‘as groups increase in size they become less effective because the coordination and process problems overwhelm the advantages from having more people to draw on’. Larger boards are less effective monitors because of potential free riding, communication breakdowns and inefficiencies (Dechow et al., 1996; Bushman et al., 2004). Yermack (1996) provides empirical evidence consistent with these views. He shows that companies with smaller boards have higher market values. Beasley (1996) similarly finds that the likelihood of fraud increases with board size. Drawing on this literature and consistent with the risk-based perspective, we posit that larger boards/audit committees heighten the risk of material misstatements; hence, requiring a more extensive audit. Therefore, we expect larger board/audit committee size to increase audit fees.
We acknowledge that the size–audit fees association can be non-linear as extremely small boards/audit committees lack a sufficient pool of expertise to govern effectively (Vafeas, 2000). Unreported results confirm that only 3.0 per cent of our sample companies have fewer than 7 board members (minimum and median of 5 and 11 members, respectively) and 3.6 per cent have fewer than 3 audit committee members (minimum and median of 2 and 4 members, respectively). Given that boards/audit committees are adequately staffed in our sample comprising large, listed companies, it is not empirically meaningful to test the notion of non-linearity in our study.
The presence of strong internal monitoring and external regulatory oversight mitigate informational asymmetries and agency problems; hence, diminishing the need for an extensive audit (Smith and Watts, 1992; Bryan and Klein, 2005). The substitution effect of regulatory oversight for external auditing suggests regulated companies with larger boards/audit committees are associated with lower audit effort. Therefore, we propose that regulatory oversight weakens the association between board/audit committee size and higher audit fees:
H3: Regulatory oversight weakens the association between board/audit committee size and higher audit fees.
3. Research design
3.1. Model specification
Drawing from prior literature (e.g. Craswell and Francis, 1999; Tsui et al., 2001; Carcello et al., 2002), we estimate the following audit fee ordinary least-squares regression (OLS) model to test our research hypotheses:
LAUDFEE = β0 + β1LTA + β2RA + β3LOSS + β4SRSUB + β5FSTS + β6SEGMT + β7LNONAUD + β8BIG5 + β9REG + β10IND + β11ODIR + β12SIZE +β13IND–REG + β14ODIR–REG + β15SIZE–REG + ɛ,
where:
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LAUDFEE = natural logarithm of audit fees (in $US thousands);
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LTA= natural logarithm of total assets (in $US millions);
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RA = return on assets;
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LOSS = 1 if the company has made a loss in any of the last 3 years, and 0 otherwise;
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SRSUB = square root of the number of subsidiaries;
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FSTS = ratio of foreign subsidiaries to total number of subsidiaries;
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SEGMT= number of business segments;
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LNONAUD= natural logarithm of total non-audit fees (in $US thousands);
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BIG5 = 1 if auditor is one of the Big Five auditors, and 0 otherwise;
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REG = 1 if the industry is highly regulated, and 0 otherwise;
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IND = board/audit committee proportion of independent members (factor score);
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ODIR= board/audit committee average number of outside directorships (factor score);
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SIZE= board/audit committee size (factor score);
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IND–REG= interaction between IND and REG;
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ODIR–REG = interaction between ODIR and REG;
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SIZE–REG = interaction between SIZE and REG; and
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ɛ= error term.
The purpose of the OLS model is to test the moderating effect of regulatory oversight on the association between audit fees and board/audit committee independence (IND), multiple directorship (ODIR) and size (SIZE). We investigate whether the coefficients on the interaction terms are statistically significant in the expected directions. The moderator variable, REG, is set to 1 for companies in regulated industries (i.e. financial and utility companies), and 0 otherwise. Consistent with prior research (e.g. Beasley, 1996; Klein, 2002), a member of the board or audit committee is independent if he or she is not an employee of the firm, a retired employee, a former employee, a relative of an employee, or a service provider (e.g. lawyer) engaged by the firm.
We extract variables relating to both the board and audit committees from proxy statements. We then factor-analyse these variables (deriving varimax-rotated factor scores) for three reasons. First, Cohen et al. (2004) argue that board and audit committee characteristics should be considered together because of considerable interactions and overlap between the board and audit committee. Second, the board and audit committee variables are highly correlated.2 Third, we reduce the six governance variables to derive a parsimonious model. The three factors extracted with eigenvalues greater than 1 account for 80 per cent of the total variance. The board/audit committee independence factor explains 24 per cent, the multiple directorship factor explains 31 per cent, and the board/audit committee size factor explains 25 per cent of the total variance. All the factor loadings are greater than 0.82.
As audit fees are predominantly influenced by size, complexity and risk of the audit client, we use proxies for these characteristics as control variables in our regression model. Client size is measured as the natural logarithm of total assets (e.g. Craswell and Francis, 1999; Tsui et al., 2001; Carcello et al., 2002). Consistent with prior studies (e.g. Carcello et al., 2002), we include the number of subsidiaries, the number of business segments and the proportion of foreign subsidiaries as proxies for audit client complexity. Return on assets and loss-making in any of the last 3 years are proxies for audit risk (e.g. Craswell and Francis, 1999; Tsui et al., 2001). We include non-audit fees because non-audit fees are significantly associated with audit fees (Whisenant et al., 2003; Hay et al., 2006). Non-audit fees paid to the auditor are measured as the natural logarithm of total non-audit fees (e.g. Davis et al., 1993; Whisenant et al., 2003). BIG5 controls for differences in auditor quality (e.g. Craswell and Francis, 1999; Tsui et al., 2001; Carcello et al., 2002; Clarkson et al., 2003).3
3.2. Data
Our sample comprises 469 US listed companies with total assets exceeding $US1bn in the fiscal year 2001. We use a more homogeneous sample restricted to larger companies because larger regulated companies are subject to intense scrutiny and the prior literature indicates that company size is related to corporate governance (Abbott et al., 2003). We limit our sample to 2001 to minimize the regulatory effects of the Sarbanes-Oxley Act of 2002. We acknowledge our results might not be generalizable beyond our sample period and to smaller companies. We hand-collect the corporate governance data from proxy statements filed with the Securities and Exchange Commission. Based on our selection criteria, we obtain 252 regulated companies comprising 32 utilities and 220 bank holding companies4 from the Standard & Poor's (S&P) 500 and Federal Deposit Insurance Corporation (FDIC)5 listings, respectively, and 217 non-regulated companies6 from the S&P 500 list.
3.3. Descriptive statistics
Table 1 provides descriptive statistics for the continuous and indicator variables in Panels A and B, respectively. Fifty-four per cent of the sample are regulated companies. Ninety-five per cent of the sample are audited by the Big Five auditors and 16 per cent experience a loss during the prior 3 years. The mean (median) audit fee is $US1.73m ($US0.78m) and it ranges from $US0.05m to $US21.6m. The mean (median) book value of total asset is $US20.5bn ($US5.8bn). On average, the sample companies have audit committees and boards that are predominantly independent (97 and 78 per cent, respectively). On average (median), audit committee members sit on 1.50 (1.33) other boards, and board directors sit on 1.46 (1.50) other boards. The mean (median) audit committee size is 4.20 (4) and mean (median) board size is 11.54 (11).
Panel A: Continuous variables |
|||||
---|---|---|---|---|---|
Variable | Mean | SD | Minimum | Median | Maximum |
AUDFEE | 1.73 | 2.77 | 0.05 | 0.78 | 21.60 |
LAUDFEE | 6.64 | 1.29 | 3.91 | 6.66 | 9.98 |
TA | 20 486 | 57 889 | 1005 | 5769 | 693 575 |
LTA | 8.81 | 1.31 | 6.91 | 8.66 | 13.45 |
RA | 0.03 | 0.22 | –4.58 | 0.05 | 0.21 |
SRSUB | 6.34 | 5.42 | 1.00 | 4.58 | 37.74 |
FSTS | 0.28 | 0.33 | 0.00 | 0.04 | 1.00 |
SEGMT | 2.93 | 1.94 | 1.00 | 3.00 | 9.00 |
NONAUD | 4.67 | 10.07 | 0.00 | 1.50 | 85.90 |
LNONAUD | 7.01 | 1.93 | 0.00 | 7.31 | 11.36 |
AC_IND | 0.97 | 0.09 | 0.33 | 1.00 | 1.00 |
AC_ODIR | 1.50 | 1.24 | 0.00 | 1.33 | 7.33 |
AC_SIZE | 4.20 | 1.34 | 2.00 | 4.00 | 11.00 |
B_IND | 0.78 | 0.12 | 0.25 | 0.82 | 1.00 |
B_ODIR | 1.46 | 1.05 | 0.00 | 1.50 | 5.56 |
B_SIZE | 11.54 | 3.57 | 5.00 | 11.00 | 31.00 |
Panel B: Dummy variables |
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---|---|---|---|
Mean | Median | Number of firms coded ‘1’ | |
REG | 0.54 | 1 | 252 |
LOSS | 0.16 | 0 | 77 |
BIG5 | 0.95 | 1 | 444 |
- AUDFEE is total audit fees (in $US million); LAUDFEE is natural logarithm of audit fees (in $US thousands); TA is total assets (in $US millions); LTA is natural logarithm of total assets (in $USm); RA is return on assets; SRSUB is square root of the number of subsidiaries; FSTS is ratio of foreign subsidiaries to total number of subsidiaries; SEGMT is number of business segments; NONAUD is total non-audit fees (in $US millions); LNONAUD is natural logarithm of total non-audit fees (in $US thousands); AC_IND is proportion of independent members in audit committee; AC_ODIR is average number of outside directorships of audit committee members; AC_SIZE is audit committee size; B_IND is proportion of independent members on the board; B_ODIR is average number of outside directorships of board members; B_SIZE is board size; REG is 1 if the industry is highly regulated, and 0 otherwise; LOSS is 1 if the company has made a loss in any of the last 3 years, and 0 otherwise; and BIG5 is 1 if auditor is one of the Big Five auditors, and 0 otherwise. SD, standard deviation.
Table 2 shows t-test results for differences between the regulated and non-regulated companies. Results in Table 2 generally show significant differences between the two groups except for size, measured by the logarithm of total assets, and profitability, measured by return on assets. Consistent with prior studies (e.g. Simunic, 1980; Maher et al., 1985; Turpen, 1990; Gist, 1994; Hay et al., 2006), regulated companies incur lower audit fees than non-regulated companies. This could also be explained by regulated companies having fewer subsidiaries and business segments and lower proportion of foreign subsidiaries. Although regulated companies have larger boards and audit committees, they have fewer independent directors. Directors in regulated companies, on average, sit on fewer outside boards.
Variable | Regulated (n = 252) | Non-regulated (n = 217) | t-statistic | p-value* | ||
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Mean | SD | Mean | SD | |||
AUDFEE | 1.04 | 2.45 | 2.53 | 2.90 | –5.96 | 0.000 |
LAUDFEE | 5.97 | 1.20 | 7.42 | 0.90 | –14.88 | 0.000 |
TA | 26 223 | 72 846 | 13 823 | 31 802 | 2.44 | 0.015 |
LTA | 8.82 | 1.47 | 8.79 | 1.09 | 0.25 | 0.800 |
RA | 0.05 | 0.02 | 0.02 | 0.33 | 1.39 | 0.165 |
LOSS | 0.06 | 0.24 | 0.28 | 0.45 | 6.35 | 0.000 |
SRSUB | 4.29 | 4.34 | 8.72 | 5.59 | –9.47 | 0.000 |
FSTS | 0.06 | 0.26 | 0.54 | 0.29 | –18.84 | 0.000 |
SEGMT | 2.50 | 1.82 | 3.44 | 1.96 | –5.39 | 0.000 |
NONAUD | 2.55 | 7.33 | 7.12 | 12.09 | –4.86 | 0.000 |
LNONAUD | 6.11 | 1.90 | 8.07 | 1.35 | –13.02 | 0.000 |
BIG5 | 0.90 | 0.30 | 1.00 | 0.00 | 5.26 | 0.000 |
AC_IND | 0.95 | 0.11 | 0.99 | 0.05 | –4.45 | 0.000 |
AC_ODIR | 0.92 | 0.97 | 2.17 | 1.18 | –12.52 | 0.000 |
AC_SIZE | 4.43 | 1.40 | 3.93 | 1.23 | 4.10 | 0.000 |
B_IND | 0.76 | 0.13 | 0.80 | 0.11 | –3.55 | 0.000 |
B_ODIR | 0.99 | 0.99 | 2.01 | 0.84 | –12.10 | 0.000 |
B_SIZE | 12.31 | 4.20 | 10.65 | 2.38 | 5.34 | 0.000 |
- * All p-values for the variables are two-tailed probabilities. AUDFEE is total audit fees (in $USm); LAUDFEE is natural logarithm of audit fees (in $US thousands); TA is total assets (in $USm); LTA is natural logarithm of total assets (in $US millions); RA is return on assets; LOSS is 1 if the company has made a loss in any of the last 3 years, and 0 otherwise; SRSUB is square root of the number of subsidiaries; FSTS is ratio of foreign subsidiaries to total number of subsidiaries; SEGMT is number of business segments; NONAUD is total non-audit fees (in $US millions); LNONAUD is natural logarithm of total non-audit fees (in $US thousands); BIG5 is 1 if auditor is one of the Big Five auditors, and 0 otherwise; AC_IND is proportion of independent members in audit committee; AC_ODIR is average number of outside directorships of audit committee members; AC_SIZE is audit committee size; B_IND is proportion of independent members on the board; B_ODIR is average number of outside directorships of board members; and B_SIZE is board size. SD, standard deviation.
Consistent with our expectations, the correlation matrix in Table 3 shows that the correlation coefficient between regulatory oversight (REGUL) and audit fees is negative and significant. Except for return on assets, all control variables are significantly correlated with higher audit fees. None of the explanatory variables are highly correlated (r > 0.80), which suggests that multicollinearity is not a problem (Neter et al., 1987). In addition, the maximum variance inflation factor (VIF) of 4.96 in the OLS is less than 10, which substantiates the absence of multicollinearity (Neter et al., 1987).
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) | (13) | |
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LAUDFEE (1) | 1 | ||||||||||||
LTA (2) | 0.69*** | 1 | |||||||||||
RA (3) | –0.04 | –0.03 | 1 | ||||||||||
LOSS (4) | 0.19*** | 0.01 | –0.25*** | 1 | |||||||||
SRSUB (5) | 0.63*** | 0.43*** | –0.02 | 0.11** | 1 | ||||||||
FSTS (6) | 0.55*** | 0.05 | –0.08 | 0.22*** | 0.48*** | 1 | |||||||
SEGMT (7) | 0.53*** | 0.38*** | –0.02 | 0.07 | 0.37*** | 0.23*** | 1 | ||||||
LNONAUD (8) | 0.83*** | 0.61*** | –0.06 | 0.16*** | 0.53*** | 0.49*** | 0.46*** | 1 | |||||
BIG5 (9) | 0.32*** | 0.23*** | –0.02 | 0.08 | 0.14*** | 0.18*** | 0.15*** | 0.31*** | 1 | ||||
REG (10) | –0.56*** | 0.01 | 0.07 | –0.29*** | –0.41*** | –0.74*** | –0.24*** | –0.51*** | –0.22*** | 1 | |||
IND (11) | 0.14*** | –0.01 | –0.01 | 0.05 | 0.13*** | 0.14*** | 0.05 | 0.17*** | –0.12 | –0.16*** | 1 | ||
ODIR (12) | 0.64*** | 0.40*** | –0.01 | 0.15*** | 0.40*** | 0.44*** | 0.34*** | 0.55*** | 0.24*** | –0.49*** | 0 | 1 | |
SIZE (13) | 0.08 | 0.32*** | 0.07 | –0.18*** | 0.09** | –0.24*** | 0.15*** | 0.10** | 0.01 | 0.25*** | 0 | 0 | 1 |
- *** p < 0.01;
- ** p < 0.05. LAUDFEE is natural logarithm of audit fees (in $US thousands); LTA is natural logarithm of total assets (in $USm); RA is return on assets; LOSS is an indicator variable equals to 1 if the company has made a loss in any of the last 3 years, and 0 otherwise; SRSUB is square root of the number of subsidiaries; FSTS is ratio of foreign subsidiaries to total number of subsidiaries; SEGMT is number of business segments; LNONAUD is natural logarithm of total non-audit fees (in $US thousands); BIG5 is an indicator variable equals to 1 if auditor is one of the Big Five auditors, and 0 otherwise; REG is an indicator variable equals to 1 if the industry is highly regulated, and 0 otherwise; IND is proportion of independent board/audit committee (factor score); ODIR is average number of board/audit committee outside directorships (factor score); and SIZE is board/audit committee size (factor score).
4. Results
4.1. Multivariate statistics
Table 4 reports results of the regression analyses. The adjusted R2 of all three models are at least 86 per cent. With the exception of RA and LOSS, the sign and significance (p < 0.05 or lower) of the coefficients on the control variables across all three models are consistent with prior research. LOSS is significant at p < 0.05 in Model 3 and p < 0.10 in Models 1 and 2. Overall, these data suggest the OLS models are structurally stable.
Variable | Sign | Model 1 | Model 2 | Model 3 | |||
---|---|---|---|---|---|---|---|
Coefficient | t-value | Coefficient | t-value | Coefficient | t-value | ||
Intercept | ? | 1.34 | 7.66*** | 1.57 | 8.24*** | 1.77 | 8.71*** |
LTA | + | 0.44 | 7.15*** | 0.42 | 15.84*** | 0.41 | 15.42*** |
RA | – | 0.15 | 1.50 | 0.13 | 1.32 | 0.11 | 1.14 |
LOSS | + | 0.10 | 1.60 | 0.10 | 1.52 | 0.11 | 1.72** |
SRSUB | + | 0.02 | 4.56*** | 0.02 | 4.51*** | 0.02 | 3.97*** |
FSTS | + | 0.39 | 4.56*** | 0.36 | 4.25*** | 0.37 | 4.37*** |
SEGMT | + | 0.07 | 5.17*** | 0.06 | 5.00*** | 0.06 | 4.38*** |
LNONAUD | + | 0.16 | 8.09*** | 0.15 | 7.53*** | 0.15 | 7.73*** |
BIG5 | + | 0.18 | 1.69** | 0.18 | 1.71** | 0.16 | 1.55 |
REG | – | –0.75 | –10.75*** | –0.65 | –8.95*** | –0.67 | –9.25*** |
IND | + | 0.05 | 2.21** | 0.12 | 2.46*** | ||
ODIR | + | 0.12 | 4.03*** | 0.05 | 1.47 | ||
SIZE | + | –0.01 | –0.42 | 0.10 | 2.19** | ||
IND–REG | – | –0.09 | –1.66** | ||||
ODIR–REG | + | 0.14 | 2.57*** | ||||
SIZE–REG | – | –0.15 | –2.85*** | ||||
F-statistic | 326 | 255 | 212 | ||||
p-value | 0.005 | 0.005 | 0.005 | ||||
Adjusted R2 | 0.86 | 0.87 | 0.87 |
- *** p < 0.01;
- ** p < 0.05 (one-tailed). LTA is natural logarithm of total assets (in $USm); RA is return on assets; LOSS is an indicator variable equals to 1 if the company has made a loss in any of the last 3 years, and 0 otherwise; SRSUB is square root of the number of subsidiaries; FSTS is ratio of foreign subsidiaries to total number of subsidiaries; SEGMT is number of business segments; LNONAUD is natural logarithm of total non-audit fees (in $US thousands); BIG5 is an indicator variable equals to 1 if auditor is one of the Big Five auditors, and 0 otherwise; REG is an indicator variable equals to 1 if the industry is highly regulated, and 0 otherwise; IND is proportion of independent board/audit committee (factor score); ODIR is average number of board/audit committee outside directorships (factor score). SIZE is board/audit committee size (factor score); IND–REG is interaction variable between IND and REG; ODIR–REG is interaction variable between ODIR and REG; and SIZE–REG is interaction variable between SIZE and REG.
Model 1 regresses audit fees (LAUDFEE) on eight control variables and the regulatory indicator variable (REG). After controlling for client-related risks, client size and complexity, we find a negative and significant (p < 0.01) coefficient on REG. This suggests that regulated companies pay comparatively lower audit fees than non-regulated companies. This is consistent with the argument that regulatory oversight partially substitutes for external audit monitoring; hence, reducing the demand for an extensive audit. In addition, the external auditors might reduce the extent of audit tests as they perceive stronger internal controls and internal monitoring in regulated companies.
Model 2 introduces the board/audit committee independence (IND), multiple directorships (ODIR) and size (SIZE) variables. The coefficients on IND and ODIR are positive and significant (p < 0.05 or lower), whereas the coefficient on SIZE is not significant. The coefficient on REG remains negative and significant. These findings are consistent with the demand-based argument that independent boards/audit committees and directors with higher reputation capital demand additional assurance from the auditor to ensure effective oversight over financial reporting and to protect their reputation capital (Carcello et al., 2002; Abbott et al., 2003). Because multiple directorships could also reduce directors’ time and focus they could devote to each board and, hence, constrain their monitoring effectiveness (Shivdasani and Yermack, 1999), such directors are likely to demand more assurance from the auditor. In addition, auditors are likely to perceive audit risk to be higher and consequently perform more audit work when directors dilute their attention and focus by serving on multiple boards.
Model 3 tests our hypotheses and introduces interaction terms. The coefficient on the interaction term IND_REG (board/audit committee independence by regulatory oversight) is negative and significant (p < 0.05). This result is consistent with our expectation in Hypothesis 1, which posits industry-specific regulatory oversight diminishes the association between board/audit committee independence and audit fees. The coefficient on the interaction term ODIR_REG (multiple directorship by regulatory oversight) is positive and significant (p < 0.01). This result is consistent with our expectation in Hypothesis 2, which posits regulatory oversight strengthens the association between board/audit committee reputation and audit fees. Finally, the coefficient on the interaction term SIZE–REG (board/audit committee size by regulatory oversight) is negative and significant (p < 0.01). This result is also consistent with our expectation in Hypothesis 3, which posits regulatory oversight diminishes the association between the size of the board/audit committee and audit fees.
4.2. Sensitivity analyses
We conduct several sensitivity analyses to assess the robustness of our findings. First, our results remain qualitatively similar after excluding outliers and influential points.7 Second, we test whether our results are sensitive to possible endogeneity between audit fees and non-audit fees. Prior evidence suggests that audit and non-audit fees could be jointly determined (Whisenant et al., 2003; Hay et al., 2006). Results of our two-stage least-squares show that the coefficients on SIZE–REG and ODIR–REG remain significant in the expected directions (p < 0.01, one-tailed), but the coefficient on IND–REG is not significant. Except for board/audit committee independence, our results are robust to the joint determination of audit and non-audit fees.
Third, we estimate our OLS models by including variables representing director independence, multiple directorships and size, and their interactions with regulatory oversight for the board of directors and excluding audit committee variables, and vice versa. We do not observe any qualitative changes to the results. However, as the VIFs are greater than 10 (VIF > 50 for the board variables and > 200 for audit committee variables), we question the validity of the results. Likewise, it is not meaningful to interpret analyses containing both sets of board and audit committee variables and their interaction variables with regulatory oversight because of high multicollinearity (Neter et al., 1987).
Fourth, we derive factor scores from board and audit committee independence, multiple directorships, size, financial expertise and the number of meetings (proxying for diligence) and interact them with regulatory oversight. OLS results show that the coefficients on SIZE–REG and ODIR–REG remain significant in the expected directions (p < 0.01, one-tailed) and the coefficients on the other interaction variables are not significant.
Finally, we perform our analysis based only on 217 non-regulated companies and 220 bank holding companies after omitting the 32 utility companies. Our results are qualitatively similar. IND–REG is marginally significant (p = 0.06, one-tailed) and both SIZE–REG and ODIR–REG remain significant (p < 0.01, one-tailed) in the expected directions.
5. Summary and conclusions
We provide evidence on the moderating effect of regulatory oversight on the association between internal corporate governance and audit fees. We examine these effects for a sample of 469 large US listed companies comprising 252 financial and utility companies that are subject to additional industry-specific regulation and 217 industrials. Our OLS results reveal that regulatory oversight influences audit fees and the association between internal corporate governance and audit fees. We attribute the lower audit fees paid by regulated companies to the partial substitution effect of regulatory oversight for external audit monitoring. As predicted, we observe that the associations between board/audit committee independence and audit fees, and between board/audit committee size and audit fees, are weaker for regulated companies than for non-regulated companies. These results are consistent with the notion that regulatory oversight reduces information asymmetry; hence, reducing the demand for costly monitoring by the external auditor. Audit monitoring is not redundant in the presence of regulatory oversight as they are not perfect substitutes. Our findings imply that the board/audit committee perceives some overlap between regulatory oversight and audit monitoring such that they demand a less extensive audit in the presence of regulatory oversight. Viewed from a supply perspective, auditors conduct less extensive audits for clients that are subject to regulatory oversight because such conditions reduce audit and financial reporting risks (Bedard and Johnstone, 2004).
We also provide evidence on the moderating effect of regulatory oversight on the association between multiple directorships and audit fees. Our results indicate that regulatory oversight strengthens the association between multiple directorships and higher audit fees. Given the more severe ramifications of non-compliance and misreporting in regulated companies, directors serving on multiple boards face greater incentives to protect their reputation. They do so by demanding additional assurance from the auditor. Explained from a supply-side perspective, auditors perceive audit risk to be higher and, therefore, exert greater effort when directors in regulated companies dilute their attention and focus by serving on multiple boards.
The results of our study should be considered in context of the following limitations. First, consistent with prior studies, we use audit fees as a proxy for the extent of audit monitoring. This is because we do not have access to proprietary data, such as audit hours. Second, similar to Stein et al. (1994) whose sample comprises companies from several industries, heterogeneity poses a potential problem. The regulated companies in our sample are different from non-regulated companies in many aspects, including size, complexity and internal governance characteristics. Although we control for such factors in the regression analyses, other potential omitted variables could have spurious effects on the results. For instance, we do not control for other corporate governance attributes, including internal audit, which some studies suggest could substitute for the external audit (Felix et al., 2001). Other studies, in contrast, find that companies with internal audit pay higher audit fees (Hay and Knechel, 2002; Goodwin-Stewart and Kent, 2006). However, this omitted variable concern is reduced by the fact that our sample comprises listed companies in excess of $US1bn. Listed and large companies are more likely to have an internal audit function. Third, as the Sarbanes-Oxley Act of 2002 imposes more stringent monitoring of companies across all industries, it could potentially narrow the effects of regulatory oversight between regulated and non-regulated companies. Future research could investigate if our findings hold in the period after Sarbanes-Oxley. Although our study examines how regulatory oversight affects the association between elements of corporate governance and audit fees from both demand and supply perspectives, there remains a challenging opportunity for future research to unravel the demand and supply side determinants of audit fees. Future studies could also investigate the moderating effect of other external governance mechanisms, including analysts, creditors and stockholders. This would enhance our understanding on the nature of the relationship between internal and external governance mechanisms.