Unveiling the alliance between corporate board composition and earnings management through meta-analysis

Author:

Kaur Amandeep,Maheshwari Girish Chandra,Singh Archana

Abstract

Misconduct in the financial sector, such as earnings management, has garnered significant attention from researchers due to the peculiarities of managers in financial reporting. Effective corporate boards have the potential to limit managerial opportunism in this regard. However, the existing literature yielded inconclusive results. Therefore, the present study aims to examine the influence of corporate board characteristics on earnings management through meta-analysis. The dataset comprises 72 published empirical studies with 3,66,417 firm-year observations. A two-step methodology is adopted following the PRISMA guidelines proposed by Moher et al. (2009) and the meta-analytic technique propounded by Hedges and Olkin (2014). The major findings of the study uncover that active, gender-diverse and larger corporate boards are most influential in controlling earnings management practices. Furthermore, different discretionary accrual measures, corporate governance systems, and the International Financial Reporting Standards (IFRS) adoption moderate the association between earnings management and board composition. The study provides a quantitative generalization to the inconclusive outcomes of published empirical studies from different timeframes and jurisdictions. The findings may help academicians and researchers to develop a holistic understanding of the impact of corporate boards on earnings management. This is one of the first studies to undertake a meta-analytic review of the association of board gender diversity and board activity as board characteristics with earnings management.

Publisher

Virtus Interpress

Subject

General Business, Management and Accounting

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3