Abstract

The focus of the study is to examine the impact of corporate governance on earnings quality in listed firms in Nigeria. The specific objective is to investigate the effect of board size, board independence and board gender diversity on earnings quality. This study was carried out with secondary data retrieved from corporate annual reports of the sampled companies and the data was analysed using panel regression on a sample of 37 quoted manufacturing companies for the period 2011-2017. On the overall, the result reveals that Board size, board independence and board gender diversity used for measuring corporate governance show significant impact on earnings quality. In addition, corporate governance variables appear to be quite sensitive to the measure of earnings quality used. Based on the findings, the study recommends the need for comprehensive evaluation of corporate governance systems of companies. The study recommends the need for more level of board independence. The diversity issue though is gaining momentum in corporate governance literature can still be regarded as not as dominant as compared to others especially as it relates to protecting shareholder rights and framing dividend policy. The significance of the variable nevertheless suggests that companies should thrive to achieve an appropriate diversity mix.

Highlights

  • Earnings typically represent the net income resulting from operations of a corporation and it is the basis for computing tax liability of the entity

  • The study made use of 25 firms listed in the Finnish exchange covering the period 2009-2014 and the results showed that board gender diversity has no significant effect on conditional accounting conservatism

  • The result reveals the null hypothesis H01, H02 and HO3 is rejected as Board size, board independence and board gender diversity show significant impact on earnings quality

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Summary

Introduction

Earnings typically represent the net income resulting from operations of a corporation and it is the basis for computing tax liability of the entity. With emphasis on the concept of earnings quality, Schipper & Vincent (2003) notes that earnings quality can be defined as the predictive ability of reported earnings in relation to future earnings. Earnings can be categorized as having higher quality if previous earnings can be used to predict future earnings. This is one of the reasons why accounting standards are constantly been updated in order to improve quality of reported earnings that is free from manipulation (Dang, Pham, Nguyen & Nguyen, 2020). The third earnings quality dimension is the earnings predictability which looks at the predictive characteristics of earnings. All three dimensions are important and present unique perspectives on earnings quality

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