Does the Interplay Between Audit Committee Independence and Audit Quality Mitigate Tax Avoidance? Evidence from Non-Financial Firms Listed on the Amman Stock Exchange
Abstract
1. Introduction
2. Literature Review, Theoretical Framework, and Hypotheses Development
2.1. Literature Review and Theoretical Framework
2.1.1. Corporate Governance, Audit Committee, Audit Quality, and Tax Avoidance
2.1.2. Audit Fees, Audit Quality, and Governance
2.1.3. Theoretical Framework
2.2. Hypotheses Development
2.2.1. AC Independence and Tax Avoidance
2.2.2. AC Independence, Audit Quality, and Tax Avoidance
3. Research Design and Methodology
3.1. Study Population and Sample
- The company must have been listed on the ASE throughout the study period.
- Financial reports must be available for the entire study period.
- The company must not have undergone a merger or been suspended from trading during the study period.
- The company must have disclosed the amount of audit fees.
- The company must not have reported a negative pre-tax net profit, as such cases may distort the measurement of tax avoidance practices and bias the empirical results (since firms with losses may report zero tax expense or benefit from deferred tax assets, making effective tax rate calculations unreliable).
3.2. Study Variables and Measurement Methods
- Independent Variable: The independent variable in this study is the independence of the audit committee (ACIN). This is measured by the ratio of independent audit committee members to the total number of audit committee members.
- Moderator Variable: The moderator variable is external audit quality. This variable is measured by external audit fees (FEES), which are quantified using the natural logarithm of the company’s annual external audit fees.
- Control Variables: Three control variables were used in the study:
- Company Age (AGE): Measured as the number of years a company has been operating on the Amman Stock Exchange since its establishment.
- Financial Leverage (LEV): Calculated as the book value of total liabilities divided by total assets.
- Company Size (SIZE): Measured by the natural logarithm of the company’s total assets.
3.3. Study Models
4. Results
4.1. Descriptive Statistics
4.2. Multicollinearity Analysis and Assumptions
4.3. Hypotheses Testing: OLS Regression
4.4. Endogeneity and Robustness Analyses
- Industry-average audit committee independence (IND_ACIN): the average ACIN of other firms in the same two-digit industry (excluding the firm). Industry- or peer-based averages are commonly used as instruments in governance studies because they capture peer norms that predict firm-level governance but are less likely to be driven by firm-specific tax avoidance after controlling for firm and year effects.
- Lagged audit fees (FEESt−1): the natural logarithm of audit fees in the prior year, which is predictive of current-year fees but less likely to be contemporaneously affected by current tax avoidance.
- Audit committee meeting frequency (BOARDMTG): the number of audit committee meetings in year t, used as an additional instrument for ACIN. Meeting frequency reflects governance activity that correlates with independence but is not expected to directly determine tax avoidance choices conditional on controls.
4.4.1. Endogeneity Diagnostics
4.4.2. Robustness Checks
- Long-run CETR (CETRLR)—three-year average CETR to smooth transitory shocks (Dyreng et al., 2010).
- Book–tax difference (BTD)—a commonly used measure of tax avoidance intensity (Hanlon & Heitzman, 2010).
- Alternative audit-quality proxies.
- BIG4—a dummy variable indicating Big-four auditor engagement (DeFond & Zhang, 2014).
- AUD_TENURE—auditor tenure in years.
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| Variable | Mean | S. D | Min | Max |
|---|---|---|---|---|
| LTR | 0.167 | 0.031 | 0.10 | 0.24 |
| CETR | 0.104 | 0.046 | 0.003 | 0.414 |
| DCETR | 0.062 | 0.050 | −0.224 | 0.178 |
| ACIN | 0.510 | 0.243 | 0.00 | 1.00 |
| FEES | 17,343 | 17,823 | 6000 | 80,000 |
| AGE | 26.55 | 13.22 | 5 | 46 |
| LEV | 30.22 | 19.05 | 0.006 | 78.93 |
| SIZE | 2,145,117,000 | 5,331,445 | 418,958,955 | 165,747,572 |
| Variable | ACIN | FEES | ACIN*FEES | AGE | LEV | SIZE |
|---|---|---|---|---|---|---|
| ACIN | 1.000 | |||||
| FEES | −0.152 | 1.000 | ||||
| ACIN*FEES | −0.071 | −0.157 | 1.000 | |||
| AGE | 0.441 | 0.158 | −0.101 | 1.000 | ||
| LEV | −0.252 | 0.0556 | 0.135 | −0.078 | 1.000 | |
| SIZE | −0.408 | 0.558 | 0.150- | 0.205 | 0.19 | 1.000 |
| Variable | Models 1 | Models 2 | ||
|---|---|---|---|---|
| VIF | Tolerance | VIF | Tolerance | |
| ACIN | 1.57 | 0.636 | 1.74 | 0.573 |
| AGE | 1.30 | 0.768 | 1.36 | 0.735 |
| LEV | 1.16 | 0.864 | 1.24 | 0.805 |
| SIZE | 1.29 | 0.775 | 3.69 | 0.271 |
| FEES | - | - | 2.79 | 0.358 |
| ACIN*FEES | - | - | 1.45 | 0.692 |
| Mean VIF | 1.33 | 0.752 | 2.05 | 0.488 |
| Variables | Models 1 | Models 2 | ||||
|---|---|---|---|---|---|---|
| β | Z | Sig | β | Z | Sig | |
| ACIN | −0.017 | −0.72 | 0.472 | −1.017 | −0.83 | 0.408 |
| AGE | −0.001 | −1.44 | 0.15 | −0.001 | −2.35 | 0.019 ** |
| LEV | −0.001 | −1.01 | 0.311 | −0.001 | −0.69 | 0.493 |
| SIZE | 0.024 | 2.88 | 0.004 | 0.014 | 1.21 | 0.227 |
| FEES | - | - | - | 0.005 | 0.24 | 0.809 |
| ACIN*FEES | - | - | - | −0.010 | −4.73 | 0.000 *** |
| R Square | 0.099 | 0.144 | ||||
| F_statistic | 12.81 | 41.6 | ||||
| Sig (F_statistic) | 0.012 ** | 0.000 *** | ||||
| First Stage (1) ACIN | First Stage (2) FEES | Second Stage (3) DCETR (2SLS) |
|---|---|---|
| IND_ACIN | 0.412 *** (4.81) | — |
| BOARDMTG | 0.024 ** (2.15) | — |
| FEES_(t−1) | — | 0.178 *** (5.23) |
| ACIN (pred) | — | −0.012 (−0.88) |
| FEES (pred) | — | 0.006 (0.31) |
| ACIN × FEES (pred) | — | −0.008 *** (−3.42) |
| AGE | −0.001 (−1.21) | −0.001 * (−1.96) |
| LEV | −0.001 (−0.98) | −0.001 (−0.84) |
| SIZE | 0.019 ** (2.31) | 0.022 ** (2.45) |
| First-stage F (weak instrument) | 18.6 (p < 0.001) | 23.9 (p < 0.001) |
| Sargan (overid.) | — | Χ2 = 1.58 (p = 0.209) |
| Observations | 371 | 371 |
| R² (second stage) | — | 0.138 |
| Model | DV | Moderator | ACIN | FEES/Moderator | ACIN×Mod |
|---|---|---|---|---|---|
| A1 (OLS) | DCETR_LR | FEES (ln) | −0.014 (−0.95) | 0.007 (0.38) | −0.007 ** (−2.10) |
| A2 (2SLS) | DCETR_LR | FEES (instr) | −0.011 (−0.82) | 0.004 (0.21) | −0.006 ** (−2.05) |
| B1 (OLS) | BTD | BIG4 (dummy) | −0.009 (−0.69) | 0.021 (1.12) | −0.043 ** (−2.08) |
| B2 (OLS) | DCETR | AUD_TENURE | −0.013 (−0.88) | 0.002 (0.09) | −0.003 * (−1.78) |
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Abu Quba, H.Y.; Al-Hajaya, K.; Eltweri, A. Does the Interplay Between Audit Committee Independence and Audit Quality Mitigate Tax Avoidance? Evidence from Non-Financial Firms Listed on the Amman Stock Exchange. Adm. Sci. 2025, 15, 426. https://doi.org/10.3390/admsci15110426
Abu Quba HY, Al-Hajaya K, Eltweri A. Does the Interplay Between Audit Committee Independence and Audit Quality Mitigate Tax Avoidance? Evidence from Non-Financial Firms Listed on the Amman Stock Exchange. Administrative Sciences. 2025; 15(11):426. https://doi.org/10.3390/admsci15110426
Chicago/Turabian StyleAbu Quba, Hamzeh Yousef, Krayyem Al-Hajaya, and Ahmed Eltweri. 2025. "Does the Interplay Between Audit Committee Independence and Audit Quality Mitigate Tax Avoidance? Evidence from Non-Financial Firms Listed on the Amman Stock Exchange" Administrative Sciences 15, no. 11: 426. https://doi.org/10.3390/admsci15110426
APA StyleAbu Quba, H. Y., Al-Hajaya, K., & Eltweri, A. (2025). Does the Interplay Between Audit Committee Independence and Audit Quality Mitigate Tax Avoidance? Evidence from Non-Financial Firms Listed on the Amman Stock Exchange. Administrative Sciences, 15(11), 426. https://doi.org/10.3390/admsci15110426

