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

Muhammad Usman (Department of Accounting and Finance, University of Central Lancashire, Preston, UK)
Jacinta Nwachukwu (Department of Accounting and Finance, University of Central Lancashire, Preston, UK)
Ernest Ezeani (Department of Accounting, Finance and Banking, Manchester Metropolitan University, Manchester, UK)

International Journal of Accounting & Information Management

ISSN: 1834-7649

Article publication date: 19 September 2022

Issue publication date: 30 September 2022

493

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

Citation

Usman, M., Nwachukwu, J. and Ezeani, E. (2022), "The impact of board characteristics on the extent of earnings management: conditional evidence from quantile regressions", International Journal of Accounting & Information Management, Vol. 30 No. 5, pp. 600-616. https://doi.org/10.1108/IJAIM-05-2022-0112

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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