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The Threshold Effects of National Governance Quality on the Earnings Management - Performance Nexus

Evidence From Dynamic Panel Threshold Regression

Bibliographic Data

ID3483199
AuthorsEmmanuel Mensah (0000-0002-3080-3598, University of Professional Studies, corresponding author), Christopher Boachie (0000-0002-2660-1176, Central University)
Year2024
Volume14
Issue4
Publication date2024-10-01
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/21582440241298402
OpenAlexW4405127561
LanguageEN
Citations received2
References cited93

The present study revisits the relationship between earnings management (EM) and firm performance, employing a nonlinear threshold approach and introducing national governance quality (NGQ) as a potential threshold variable. This study demonstrates how NGQ at the country level influences the impact of EM on firms' performance at the micro level. Utilizing dynamic frameworks with data encompassing 52 firm samples across nine sub-Saharan African countries spanning from 2007 to 2019, the study reveals that the beneficial impact of EM on performance materializes when NGQ falls below a certain threshold. Beyond this threshold, the influence of EM becomes marginal or occasionally adverse on firm performance. As a result, we suggest that policymakers in Africa and other emerging and developing economies consider the estimated nonlinear relationship between EM and firm performance, as well as the NGQ threshold, when devising governance strategies. It is also imperative to consider institutional quality when making investment decisions and to promote rigorous standards for earnings management and institutional issues. JEL Classification: C24, C33, C38, G30, G34, M41

Corporate governance · Earnings · Earnings Management · Econometrics · Economics · Management · Panel data · Regression analysis · Statistics · Auditing, Earnings Management, Governance · Computer Science · Corporate Finance and Governance · Corporate Taxation and Avoidance · Mathematics · Psychology · Accounting

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Citations per year2
Citation span2025 - 2026 (2)
Highly citedNo

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