The impact of audit committee dimensions on financial reporting efficiency of limited partnership companies listed on the Amman Stock exchange
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DOIhttp://dx.doi.org/10.21511/imfi.21(1).2024.31
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Article InfoVolume 21 2024, Issue #1, pp. 407-416
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Currently, the Jordanian economy needs more investment due to the growing financial deficit facing the Jordanian state. Therefore, this study came to increase investors' trust in financial reports issued by Jordanian companies to attract more investments. Based on that, this study will investigate the impact of audit committee dimensions on the efficiency of financial reports of limited partnership companies listed on the Amman Stock Exchange. The data were collected from financial reports issued by 52 limited partnership companies for the year 2021. The study used multiple regression to test the hypotheses. Based on the findings, audit committee dimensions explained the variation in financial reports' efficiency which reached 0.629. The audit committee members' size does not significantly affect the financial reports' efficiency. The significance reached 0.287. However, the knowledge of financial management has a significant positive effect on financial report efficiency; the significance reached 0.000 and the effect volume arrived at 0.699. Also, the findings showed that audit committee meetings have a greater effect on financial reporting efficiency than financial management knowledge. The impact was significantly positive, arriving at 0.790, while the significance reached 0.000. The main research conclusion is that limited partnership companies listed on the Amman Stock Exchange adopt corporate governance to achieve control effectiveness of audit committees to increase financial reporting efficiency to achieve more investments.
Acknowledgment
The publication of this research has been supported by the Deanship of Scientific Research and Graduate Studies at Philadelphia University – Jordan.
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JEL Classification (Paper profile tab)G14, G34, M41, M42
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References38
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Tables5
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Figures0
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- Table 1. Descriptive statistics of firms' variables
- Table 2. Correlation matrix
- Table 3. Model summary
- Table 4. ANOVA
- Table 5. Coefficients
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