Threshold effect of government subsidy, corporate social responsibility and brand value using the data of China's top 500 most valuable brands.


Journal

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

Informations de publication

Date de publication:
2021
Historique:
received: 09 02 2021
accepted: 06 05 2021
entrez: 25 5 2021
pubmed: 26 5 2021
medline: 21 10 2021
Statut: epublish

Résumé

An increasing number of firms have begun to attach importance to corporate social responsibility (CSR) to obtain sustainable strategic advantages in the competitive market. On the basis of nonlinear perspective, panel data of A-share listed companies in the ranking list of China's Top 500 Most Valuable Brands in 2012-2018 and Hansen panel threshold regression technology were adopted. With government subsidy and CSR being threshold variables, the internal mechanism about the influence of government subsidy and CSR on brand value was explored. Results show that the following. (1) CSR has a significantly inverted U-type threshold effect on brand value. (2) Government subsidy facilitates CSR with diminishing marginal utility. (3) When a difference exists in the strength of government subsidy, the influence of CSR on brand value presents a significant N-type law. Furthermore, threshold regression method was used to innovatively explore the complex nonlinear relationship among government subsidy, CSR, and brand value. This relationship has a significantly practical significance for listed firms for weighing the business decisions regarding the input of CSR and brand value, as well as subsidy policies for enterprises by the government.

Identifiants

pubmed: 34032810
doi: 10.1371/journal.pone.0251927
pii: PONE-D-21-04516
pmc: PMC8148359
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0251927

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

PLoS One. 2019 Apr 18;14(4):e0215430
pubmed: 30998740
PLoS One. 2020 Feb 7;15(2):e0227952
pubmed: 32032381

Auteurs

Yongzhi Qi (Y)

School of Business Administration, Shanxi University of Finance and Economics, Taiyuan, China.

Yuchen Chai (Y)

School of Business Administration, Shanxi University of Finance and Economics, Taiyuan, China.

Yifan Jiang (Y)

School of Business Administration, Shanxi University of Finance and Economics, Taiyuan, China.

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Classifications MeSH