Government audit, employee efficiency and labor cost stickiness.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 20 03 2023
accepted: 19 08 2023
medline: 4 9 2023
pubmed: 1 9 2023
entrez: 1 9 2023
Statut: epublish

Résumé

Does government audit affect employee allocation of enterprises? Using the quasi natural experiment and differences-in-differences(DID) model, this paper empirically tests the impact of government audit on employees efficiency and labor cost stickiness of state-owned enterprises (SOEs) in China. The results show that after the implementation of government audit, excess employees and labor cost stickiness of the audited enterprise is significantly reduced, which confirms the supervision and governance function of government audit on employee efficiency of SOEs. However, labor costs of the audited enterprise are not significantly reduced. These indicate from the side that the compensation system of SOEs conforms to market mechanisms, and there is no problem of employee over payment in China. This study enriches the relevant literature on the impact of government audit on employee policy of SOEs, and also provides empirical support for the full coverage of government audit.

Identifiants

pubmed: 37656724
doi: 10.1371/journal.pone.0291014
pii: PONE-D-23-07946
pmc: PMC10473528
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0291014

Informations de copyright

Copyright: © 2023 Li, Sun. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Jia Li (J)

School of Accountancy, Tongling University, Tongling, Anhui, China.

Zhoutianyang Sun (Z)

School of Digital Economics and Management, Suzhou City University, Suzhou, Jiangsu, China.

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Classifications MeSH