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The impact of board characteristics on the extent of earnings management: conditional evidence from quantile regressions

Muhammad Usman, Jacinta Nwachukwu and Ernest Ezeani

International Journal of Accounting & Information Management, 2022, vol. 30, issue 5, 600-616

Abstract: Purpose - This paper aims to examine the impact of board characteristics on earnings management (EM) among UK non-financial firms. Design/methodology/approach - Using a sample of the UK Financial Times Stock Exchange 350 firms from 2010 till 2019, the authors investigated the relationship between board characteristics (board size, board gender diversity, board tenure, board independence, chief executive office-duality and board meetings) and EM by using the quantile regression technique. Findings - This study found a non-linear association between board characteristics and discretionary accrual. The empirical evidence showed that board mechanisms reduce the extent of earnings manipulation among UK firms with higher discretionary accruals (DACC) than firms with low and medium DACC levels. Research limitations/implications - The results will benefit UK firms by helping them to rethink their board composition. It will also help policymakers understand how the corporate board can help ensure the quality of financial reports. Originality/value - This study used the quantile regression approach, which helps to clarify the mixed findings of prior studies that used conventional regression techniques.

Keywords: Quantile regression; Corporate governance; Earnings management; Board characteristics (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijaimp:ijaim-05-2022-0112

DOI: 10.1108/IJAIM-05-2022-0112

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International Journal of Accounting & Information Management is currently edited by Dr Xin (Robert) Luo and Professor Han Donker

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