The Impact of Audit Quality and Corporate Governance on Financial Segment Disclosure in Egypt
Abstract
:1. Introduction
2. Literature Review and Hypotheses Development
2.1. Institutional Background of Segment Disclosure
2.2. Institutional Setting in Egypt
2.3. Theoretical Framework
2.4. Hypotheses Development
2.4.1. External Audit Characteristics
2.4.2. Board of Directors Characteristics
3. Research Methodology
3.1. Sample and Data Collection
3.2. Measures of Variables
3.2.1. Dependent Variable
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- Segment information is characterized by the presence of separate financial statements that express many financial items, as well as the presence of descriptive and narrative information, which is a feature that other types of disclosure do not have. We find that through this, the level of segment disclosure can be understood more practically and easily, especially as each statement contains several items in the disclosure index, so existence of the financial statement that represents information about reportable segment profit or loss, assets, and liabilities will have different items like the profit of the segment, assets, liabilities, depreciation, and other items that are contained in the disclosure index. Also, to measure segment disclosure more accurately by using the disclosure index from the authors’ view, it is necessary to increase the index items significantly. This can be a solution in developed countries where the examination is conducted automatically, but it will be impractical in developing countries, such as Egypt, where financial statements depend on manual examination.
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- Companies can disclose all items in the disclosure index in one statement or narratively only. Also, items can be disclosed in more than one financial statement, and thus the disclosure levels’ measure or text mining technique that focuses on words or sentences can be inaccurate in this case. We will ignore the nature of the presentation of information that cannot be entered into the index, like comparisons among years that represent important figures. Knowing the balance between narrative and financial information has an impact on its usefulness if it is only narrative or limited financially in the view of the authors, and, therefore, its quality level was determined from this perspective.
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- Many researchers have presented multiple measures for segment disclosure that can be used more efficiently in developed contexts, which depend not only on the disclosure index but also on the number of segments, consistency, etc., so there has been no single agreed-upon measure for segment disclosure until now. Adding a new measure in developing countries would be useful.
3.2.2. Independent Variables
3.2.3. Control Variables
4. Empirical Results and Discussion
4.1. Descriptive Statistics
4.2. Correlation Analysis
4.3. Regression Analyses
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Panel A: Dummy variables | |||||
Variable | Obs | Mean | Std.Dev. | Min | Max |
OFFICE | 351 | 0.684 | 0.560 | 0 | 2 |
OPINION | 351 | 0.880 | 0.325 | 0 | 1 |
JOINT | 351 | 0.407 | 0.492 | 0 | 1 |
CEXIS | 351 | 0.972 | 0.167 | 0 | 1 |
Panel B: Continuous variables | |||||
Variable | Obs | Mean | Std.Dev. | Min | Max |
SEGMENTDISC | 351 | 3.248 | 2.104 | 0 | 6 |
FEMALE | 351 | 0.126 | 0.105 | 0 | 0.5 |
UNEXC | 351 | 0.759 | 0.146 | 0.167 | 1 |
FOR2 | 351 | 0.097 | 0.187 | 0 | 0.778 |
FAMILY | 351 | 0.093 | 0.180 | 0 | 0.833 |
MILTARY | 351 | 0.021 | 0.105 | 0 | 0.75 |
AGE | 351 | 41.254 | 12.284 | 18 | 69 |
LIQ | 351 | 1.659 | 2.342 | 0.133 | 20.885 |
LEV | 351 | 1.279 | 8.511 | −3.637 | 153.338 |
ROA | 351 | 5.829 | 11.373 | −38.482 | 54.962 |
TAXAV | 351 | −0.053 | 2.880 | −1.892 | 53.375 |
Variables | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) | (13) | (14) | (15) | (16) | (17) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(1) SEGMENTDIS | 1.000 | ||||||||||||||||
(2) FINANCIAL | 0.501 | 1.000 | |||||||||||||||
(0.000) | |||||||||||||||||
(3) YEAR | 0.108 | 0.000 | 1.000 | ||||||||||||||
(0.044) | (1.000) | ||||||||||||||||
(4) AUDITFIRM | 0.251 | 0.248 | −0.201 | 1.000 | |||||||||||||
(0.000) | (0.000) | (0.000) | |||||||||||||||
(5) OPINION | 0.027 | 0.261 | −0.007 | 0.247 | 1.000 | ||||||||||||
(0.617) | (0.000) | (0.899) | (0.000) | ||||||||||||||
(6) JOINT | 0.520 | 0.619 | −0.031 | 0.272 | 0.181 | 1.000 | |||||||||||
(0.000) | (0.000) | (0.557) | (0.000) | (0.001) | |||||||||||||
(7) FEMALE | 0.204 | −0.019 | 0.272 | −0.108 | 0.062 | −0.070 | 1.000 | ||||||||||
(0.000) | (0.724) | (0.000) | (0.042) | (0.243) | (0.190) | ||||||||||||
(8) UNEXC | 0.193 | 0.241 | 0.103 | −0.031 | −0.054 | 0.115 | 0.022 | 1.000 | |||||||||
(0.000) | (0.000) | (0.054) | (0.559) | (0.309) | (0.031) | (0.679) | |||||||||||
(9) FOR | 0.321 | 0.533 | −0.028 | 0.408 | 0.192 | 0.458 | 0.045 | 0.087 | 1.000 | ||||||||
(0.000) | (0.000) | (0.603) | (0.000) | (0.000) | (0.000) | (0.400) | (0.104) | ||||||||||
(10) FAMILY | −0.120 | −0.265 | 0.032 | 0.023 | 0.174 | −0.065 | 0.147 | −0.545 | −0.188 | 1.000 | |||||||
(0.024) | (0.000) | (0.555) | (0.662) | (0.001) | (0.223) | (0.006) | (0.000) | (0.000) | |||||||||
(11) MILTARY | −0.135 | −0.080 | 0.014 | 0.091 | −0.015 | −0.024 | −0.132 | 0.012 | −0.105 | −0.104 | 1.000 | ||||||
(0.011) | (0.136) | (0.799) | (0.088) | (0.785) | (0.652) | (0.013) | (0.824) | (0.050) | (0.052) | ||||||||
(12) CEXIS | −0.069 | 0.085 | 0.027 | −0.005 | −0.063 | 0.107 | 0.105 | 0.376 | 0.089 | −0.269 | 0.034 | 1.000 | |||||
(0.194) | (0.113) | (0.620) | (0.926) | (0.238) | (0.045) | (0.049) | (0.000) | (0.096) | (0.000) | (0.520) | |||||||
(13) AGE | 0.295 | 0.108 | −0.002 | −0.052 | −0.225 | 0.189 | −0.069 | 0.083 | 0.142 | −0.313 | 0.055 | 0.009 | 1.000 | ||||
(0.000) | (0.043) | (0.971) | (0.333) | (0.000) | (0.000) | (0.197) | (0.120) | (0.008) | (0.000) | (0.308) | (0.865) | ||||||
(14) LIQ | −0.226 | −0.220 | −0.063 | −0.224 | −0.080 | −0.245 | 0.019 | 0.079 | −0.157 | −0.044 | −0.073 | 0.013 | 0.007 | 1.000 | |||
(0.000) | (0.000) | (0.236) | (0.000) | (0.132) | (0.000) | (0.725) | (0.140) | (0.003) | (0.416) | (0.175) | (0.802) | (0.894) | |||||
(15) LEV | −0.003 | −0.063 | 0.013 | 0.044 | −0.049 | −0.076 | −0.056 | −0.027 | −0.049 | −0.060 | −0.021 | 0.017 | −0.065 | −0.048 | 1.000 | ||
(0.962) | (0.239) | (0.804) | (0.407) | (0.363) | (0.155) | (0.298) | (0.618) | (0.360) | (0.264) | (0.697) | (0.756) | (0.221) | (0.375) | ||||
(16) ROA | 0.037 | −0.160 | 0.003 | −0.080 | −0.067 | 0.039 | 0.150 | −0.116 | −0.093 | 0.405 | 0.033 | 0.061 | −0.131 | 0.070 | −0.130 | 1.000 | |
(0.495) | (0.003) | (0.962) | (0.136) | (0.211) | (0.468) | (0.005) | (0.030) | (0.084) | (0.000) | (0.535) | (0.252) | (0.014) | (0.191) | (0.015) | |||
(17) TAXAV | −0.106 | −0.056 | −0.081 | 0.022 | 0.007 | −0.075 | −0.001 | −0.037 | −0.043 | −0.019 | −0.012 | 0.004 | 0.006 | −0.013 | 0.000 | −0.035 | 1.000 |
(0.047) | (0.294) | (0.131) | (0.680) | (0.892) | (0.163) | (0.978) | (0.486) | (0.421) | (0.728) | (0.824) | (0.942) | (0.905) | (0.801) | (0.997) | (0.518) |
VIF | 1/VIF | |
---|---|---|
FAMILY | 2.238 | 0.447 |
FINANCIAL | 2.189 | 0.457 |
JOINT | 1.938 | 0.516 |
FOR2 | 1.743 | 0.574 |
UNEXC | 1.689 | 0.592 |
AUDITFIRM | 1.433 | 0.698 |
ROA | 1.371 | 0.729 |
OPINION | 1.279 | 0.782 |
AGE | 1.268 | 0.789 |
CEXIS | 1.246 | 0.803 |
FEMALE | 1.198 | 0.835 |
YEAR | 1.172 | 0.853 |
LIQ | 1.157 | 0.864 |
MILTARY | 1.11 | 0.901 |
LEV | 1.054 | 0.949 |
TAXAV | 1.021 | 0.979 |
Mean VIF | 1.444 | 0.693 |
Doornik–Hansen | chi2(2) = | 1.344 | Prob>chi2 = 0.5108 |
Segmentdisc | Coef. | St.Err. | t-Value | p-Value | [95% Conf | Interval] | Sig |
---|---|---|---|---|---|---|---|
Constant | −113.518 | 65.539 | −1.73 | 0.084 | −242.439 | 15.403 | * |
AUDITFIRM | 0.832 | 0.166 | 5.02 | 0 | 0.506 | 1.158 | *** |
OPINION | −0.603 | 0.27 | −2.23 | 0.026 | −1.134 | −0.071 | ** |
JOINT | 1.272 | 0.22 | 5.79 | 0 | 0.84 | 1.704 | *** |
FEMALE | 5.166 | 0.812 | 6.36 | 0 | 3.568 | 6.763 | *** |
UNEXC | 2.215 | 0.691 | 3.20 | 0.001 | 0.855 | 3.575 | *** |
FOR2 | −1.077 | 0.549 | −1.96 | 0.051 | −2.157 | 0.003 | * |
FAMILY | −0.523 | 0.644 | −0.81 | 0.417 | −1.791 | 0.744 | |
MILTARY | −2.542 | 0.779 | −3.26 | 0.001 | −4.075 | −1.009 | *** |
CEXIS | −2.839 | 0.52 | −5.46 | 0 | −3.862 | −1.817 | *** |
AGE | 0.04 | 0.007 | 5.68 | 0 | 0.026 | 0.054 | *** |
LIQ | −0.085 | 0.036 | −2.39 | 0.017 | −0.155 | −0.015 | ** |
LEV | 0.015 | 0.009 | 1.64 | 0.102 | −0.003 | 0.034 | |
ROA | 0.024 | 0.008 | 3.01 | 0.003 | 0.008 | 0.04 | *** |
TAXAV | −0.047 | 0.027 | −1.74 | 0.082 | −0.101 | 0.006 | * |
FINANCIAL | 1.231 | 0.243 | 5.06 | 0 | 0.752 | 1.709 | *** |
YEAR | 0.057 | 0.032 | 1.75 | 0.081 | −0.007 | 0.121 | * |
Mean dependent var | 3.248 | SD dependent var | 2.104 | ||||
R-squared | 0.546 | Number of obs | 351 | ||||
F-test | 25.070 | Prob > F | 0.000 | ||||
Akaike crit. (AIC) | 1274.378 | Bayesian crit. (BIC) | 1340.011 |
Segmentdisc | Coef. | St.Err. | t-Value | p-Value | [95% Conf | Interval] | Sig |
---|---|---|---|---|---|---|---|
Constant | −125.625 | 68.262 | −1.84 | 0.067 | −259.901 | 8.65 | * |
AUDITFIRM | 0.837 | 0.173 | 4.84 | 0 | 0.497 | 1.177 | *** |
OPINION | −0.556 | 0.281 | −1.98 | 0.049 | −1.109 | −0.002 | ** |
JOINT | 1.152 | 0.228 | 5.06 | 0 | 0.704 | 1.6 | *** |
FEMALE | 4.614 | 0.84 | 5.50 | 0 | 2.963 | 6.266 | *** |
UNEXC | 1.267 | 0.697 | 1.82 | 0.07 | −0.105 | 2.638 | * |
FOR | −1.205 | 0.572 | −2.11 | 0.036 | −2.33 | −0.081 | ** |
FAMILY | 0.014 | 0.664 | 0.02 | 0.983 | −1.291 | 1.32 | |
MILTARY | −2.661 | 0.812 | −3.28 | 0.001 | −4.258 | −1.064 | *** |
AGE | 0.043 | 0.007 | 5.88 | 0 | 0.029 | 0.058 | *** |
LIQ | −0.082 | 0.037 | −2.22 | 0.027 | −0.155 | −0.009 | ** |
LEV | 0.013 | 0.01 | 1.37 | 0.172 | −0.006 | 0.033 | |
ROA | 0.018 | 0.008 | 2.23 | 0.026 | 0.002 | 0.035 | ** |
TAXAV | −0.051 | 0.028 | −1.79 | 0.074 | −0.107 | 0.005 | * |
FINANCIAL | 1.33 | 0.253 | 5.26 | 0 | 0.833 | 1.827 | *** |
year | 0.062 | 0.034 | 1.83 | 0.069 | −0.005 | 0.128 | * |
Mean dependent var | 3.248 | SD dependent var | 2.104 | ||||
R-squared | 0.505 | Number of obs | 351 | ||||
F-test | 22.792 | Prob > F | 0.000 | ||||
Akaike crit. (AIC) | 1302.401 | Bayesian crit. (BIC) | 1364.173 |
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Abdelhak, E.E.; Hussainey, K. The Impact of Audit Quality and Corporate Governance on Financial Segment Disclosure in Egypt. Int. J. Financial Stud. 2025, 13, 57. https://doi.org/10.3390/ijfs13020057
Abdelhak EE, Hussainey K. The Impact of Audit Quality and Corporate Governance on Financial Segment Disclosure in Egypt. International Journal of Financial Studies. 2025; 13(2):57. https://doi.org/10.3390/ijfs13020057
Chicago/Turabian StyleAbdelhak, Engy Elsayed, and Khaled Hussainey. 2025. "The Impact of Audit Quality and Corporate Governance on Financial Segment Disclosure in Egypt" International Journal of Financial Studies 13, no. 2: 57. https://doi.org/10.3390/ijfs13020057
APA StyleAbdelhak, E. E., & Hussainey, K. (2025). The Impact of Audit Quality and Corporate Governance on Financial Segment Disclosure in Egypt. International Journal of Financial Studies, 13(2), 57. https://doi.org/10.3390/ijfs13020057