Effect of environmental taxes on environmental innovation and carbon intensity in China: an empirical investigation.
CO2 intensity
Environmental innovation
Environmental taxes
QARDL
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Apr 2023
Apr 2023
Historique:
received:
03
10
2022
accepted:
01
03
2023
medline:
25
4
2023
pubmed:
18
3
2023
entrez:
17
3
2023
Statut:
ppublish
Résumé
Environmental taxes are deemed to be an important carbon mitigating factor and also encourage the producers to adopt environmentally friendly technologies. Therefore, the main objective of the analysis is to evaluate the environmental taxes on environmental innovations and carbon intensity in China. The novel quantile autoregressive distributed lag (QARDL) is applied to investigate the model empirically. From the results, we confer that the short and long run estimated coefficients of environmental taxes are positive and significant at most quantiles in the environmental innovation model, implying that the higher the rate of environmental taxes, the higher the rate of environment-related innovations. However, the estimates of environmental taxes are significant and negative in both short and long run at more than half quantiles in the carbon emissions model, suggesting the positive role of environmental taxes in reducing carbon emissions. In general, our findings imply that an increase in environment-related taxes helps reduce carbon intensity and promote environmental innovation in China. The study suggests that policymakers in China should promote environmental innovation and expand the environmental tax base to achieve the objective of carbon neutrality.
Identifiants
pubmed: 36930303
doi: 10.1007/s11356-023-26299-5
pii: 10.1007/s11356-023-26299-5
doi:
Substances chimiques
Carbon
7440-44-0
Carbon Dioxide
142M471B3J
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
57129-57141Subventions
Organisme : Project of Humanities and Social Sciences
ID : Project Grant No. 18YJCZH242
Organisme : The Humanities and Social Sciences project of Hubei Provincial Department of Education
ID : Grant No. 18Q059
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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