The Relationship between Audit Committee Attributes and Financial Reporting Quality among Manufacturing Firms in Kenya
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 195
فایل این مقاله در 15 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJMAE-9-12_003
تاریخ نمایه سازی: 16 بهمن 1401
چکیده مقاله:
This study examines the relationship between Audit Committee Attributes and Changes in Financial Reporting Quality Among Manufacturing Firms in Kenya. Using a sample of publicly listed firms based on ۲۰۱۰-۲۰۱۸ data, our study finds that the expertise of the Audit Committee has an insignificant positive impact on the financial reporting quality of financial reports, measured by accrual quality. Audit committee size and financial reporting quality show mixed findings for two measures of financial reporting quality. The results show a positive, statistically significant effect between the size of the audit committee and discretionary accruals. On the contrary, the size of the audit committee shows a statistically positive insignificant relationship with accruals quality. Audit committee independence has a statistically significant effect on both accruals' quality and discretionary accruals as measures of financial reporting quality. Finally, audit committee meetings on the financial reporting quality show a negative nonsignificant relationship between audit committee meetings on both accruals' quality and discretionary accruals. The results of this research may be of interest for policymakers who have the authority over the appointment of audit committee members to choose independent and expert individuals, for regulators to reconsider their rules and mandate concerning corporations and their corporate governance structure.
کلیدواژه ها:
نویسندگان
Edwin Sitienei
Department of Accounting and Finance, Pioneer International University, Ngara, Nairobi, Kenya
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :