The government's environmental attention and corporate green innovation: A threshold analysis and quantile regression approach.


Journal

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

Informations de publication

Date de publication:
2024
Historique:
received: 13 05 2024
accepted: 10 09 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 31 10 2024
Statut: epublish

Résumé

Based on an analysis of 643 listed firms in clean technology sectors, this study explores the nonlinear impact of the government's environmental attention (GEA) on firms' green innovation by exploiting threshold and quantile regression techniques on Stata 17. We show that a double threshold exists when the level of the GEA is 51 or 104, above which the positive impact of the GEA on green innovation in cleantech firms significantly diminishes. The results from the quantile regression further indicate that cleantech firms receive almost no benefits from the GEA at lower levels of green innovation. Thus, policy-makers designing environmental policies should consider that the marginal benefit of environmental attention on green innovation wanes beyond certain levels, especially for firms that lack sufficient enthusiasm for innovation.

Identifiants

pubmed: 39480855
doi: 10.1371/journal.pone.0311154
pii: PONE-D-24-18854
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0311154

Informations de copyright

Copyright: © 2024 Huang et al. 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

Guoyan Huang (G)

School of Finance and Business, Shanghai Normal University, Shanghai, China.

Xiao Li (X)

School of Finance and Business, Shanghai Normal University, Shanghai, China.

Zhen Chu (Z)

School of Finance and Business, Shanghai Normal University, Shanghai, China.

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