Abstract

The study explores the relationship between gender diversity board (GDB) and earnings management (EM) with state-ownership (SOE) and firm growth as moderating factors. Based on the data of 404 Vietnamese listed firms in 2015–2019, the feasible generalized least squares (FGLS) method and further tests are employed to confirm the results. Furthermore, this research compares the results of multiple regression analysis (MRA) with a recently developed panel data fuzzy-set qualitative comparative analysis technique (fsQCA). The findings suggest that women on board (WOB) is negatively related to accrual based earnings management (AEM), while positive relationships are found with the real earnings management (REM) one. Besides, firms have high proportion of SOE reduce the monitoring role of WOB in detering EM. For companies that had the increase in revenue, WOB shows a positive and insignificant relationship to AEM as well as REM, respectively. The fsQCA results highlight the configuration of WOB, SOE, FG, and other board characteristic proxies that lead to the EM’s behavior. In short, the moderating role of SOE and revenue expansion is validated. This study adds to the scholarly literature on accounting and corporate governance (CG) by providing empirical evidence from the context of an emerging market, Vietnam.

Details

Title
Gender diversity and earnings management behaviours in an emerging market: a comparison between regression analysis and FSQCA
Author
Le Huu Tuan Anh 1   VIAFID ORCID Logo  ; Nguyen, Vinh Khuong 1   VIAFID ORCID Logo 

 Faculty of Accounting and Auditing, University of Economics and Law, Ho Chi Minh City, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam 
Publication year
2022
Publication date
Jan 2022
Publisher
Taylor & Francis Ltd.
e-ISSN
23311975
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2766567910
Copyright
© 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.