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How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China

In response to climate change, governments have adopted various climate policies. However, climate policy uncertainty (CPU) may have important implications for the business sector. Is enterprise green innovation (GI) affected by CPU? This study investigates the impact of CPU on enterprise GI. The Ch...

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Detalles Bibliográficos
Autores principales: Mao, Ke, Huang, Junxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739932/
https://www.ncbi.nlm.nih.gov/pubmed/36497819
http://dx.doi.org/10.3390/ijerph192315745
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author Mao, Ke
Huang, Junxin
author_facet Mao, Ke
Huang, Junxin
author_sort Mao, Ke
collection PubMed
description In response to climate change, governments have adopted various climate policies. However, climate policy uncertainty (CPU) may have important implications for the business sector. Is enterprise green innovation (GI) affected by CPU? This study investigates the impact of CPU on enterprise GI. The China CPU index is created first in this study. It uses panel data from Chinese A-share listed companies in China from 2010 to 2021 to explore the impact of CPU on GI through the fixed effects model, the mediating effects model, and the moderating effects model. The results show that: (1) CPU significantly suppresses GI, according to the findings. (2) CPU inhibits enterprise GI by exacerbating enterprise financing constraints. (3) Government subsidies can mitigate the inhibiting effect of CPU on GI. (4) There is heterogeneity in the negative impact of CPU on enterprise GI, mainly on non-state-owned enterprises. This study suggests several recommendations for coping with CPU in China.
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spelling pubmed-97399322022-12-11 How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China Mao, Ke Huang, Junxin Int J Environ Res Public Health Article In response to climate change, governments have adopted various climate policies. However, climate policy uncertainty (CPU) may have important implications for the business sector. Is enterprise green innovation (GI) affected by CPU? This study investigates the impact of CPU on enterprise GI. The China CPU index is created first in this study. It uses panel data from Chinese A-share listed companies in China from 2010 to 2021 to explore the impact of CPU on GI through the fixed effects model, the mediating effects model, and the moderating effects model. The results show that: (1) CPU significantly suppresses GI, according to the findings. (2) CPU inhibits enterprise GI by exacerbating enterprise financing constraints. (3) Government subsidies can mitigate the inhibiting effect of CPU on GI. (4) There is heterogeneity in the negative impact of CPU on enterprise GI, mainly on non-state-owned enterprises. This study suggests several recommendations for coping with CPU in China. MDPI 2022-11-26 /pmc/articles/PMC9739932/ /pubmed/36497819 http://dx.doi.org/10.3390/ijerph192315745 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mao, Ke
Huang, Junxin
How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China
title How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China
title_full How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China
title_fullStr How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China
title_full_unstemmed How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China
title_short How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China
title_sort how does climate policy uncertainty affect green innovation? evidence from china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739932/
https://www.ncbi.nlm.nih.gov/pubmed/36497819
http://dx.doi.org/10.3390/ijerph192315745
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