An empirical research on employee welfare and internal control quality

PLoS One. 2023 Aug 11;18(8):e0290009. doi: 10.1371/journal.pone.0290009. eCollection 2023.

Abstract

Internal control is the key to achieve high-quality development of enterprises, but internal control failure cases frequently occur at home and abroad. Therefore, it is particularly important to explore ways to improve the quality of internal control and promote high-quality development of enterprises. Taking non-financial listed enterprises in China from 2015 to 2020 as research samples, this paper adopts empirical research methods to research the impact and mechanism of employee welfare on the quality of internal control of enterprises from the perspective of all-employee governance, aiming to explore ways for enterprises to improve the quality of internal control.The results showed that employee welfare can improve the quality of internal controls significantly. Furthermore, the effect is more significant in non-employee-intensive industries and high-marketization areas. Based on the analysis of internal control elements, the research found that employee welfare affects the quality of internal control mainly through two elements, risk assessment and control activities. However, the effects of employee welfare on the three other elements are insignificant. This paper enriched the relevant research on the economic consequences of employee welfare and the factors affecting the quality of internal control, and has certain enlightenment significance for the popularization of employee welfare, especially supplementary pension, and also provides a reference path for the improvement of the quality of internal control.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Empirical Research
  • Industry*
  • Pensions*
  • Quality Control

Grants and funding

Supported by Sichuan Provincial Department of Education (Project No. SDJJ202115) and National Natural Science Foundation of China (Project No. 72272132). Funders are responsible for sorting out theoretical logic and guiding empirical analysis.