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Can green technology reduce carbon dioxide emissions? Evidence from G7 and BRICS countries

This study estimates the impact of green technology innovation and its interaction terms on CO(2) emission, by using the random and fixed effect estimate method, employs panel data of the G7 and BRICS countries from 1990 to 2019. The regression results show that a single type of green technological...

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Detalles Bibliográficos
Autores principales: Tan, Wenting, Cao, Teng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256825/
https://www.ncbi.nlm.nih.gov/pubmed/37305514
http://dx.doi.org/10.1016/j.heliyon.2023.e15683
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author Tan, Wenting
Cao, Teng
author_facet Tan, Wenting
Cao, Teng
author_sort Tan, Wenting
collection PubMed
description This study estimates the impact of green technology innovation and its interaction terms on CO(2) emission, by using the random and fixed effect estimate method, employs panel data of the G7 and BRICS countries from 1990 to 2019. The regression results show that a single type of green technological innovation has not a significant inhibitory effect on CO(2) emissions. The interaction of the two types of green technological innovations has a significant effect on the decrease of CO(2.) Moreover, the study test the difference effect of green technological innovations on CO(2) emission among the G7 and BRICS countries. Furthermore, we also choose appropriate instrument variables to deal with the endogenesis of the model and examine model robustness. The findings demonstrate that the empirical conclusions can hold true in the test. Based on the findings above, we puts forward a few policy recommendations for G7 countries and BRICS countries to reduce carbon dioxide emissions.
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spelling pubmed-102568252023-06-11 Can green technology reduce carbon dioxide emissions? Evidence from G7 and BRICS countries Tan, Wenting Cao, Teng Heliyon Research Article This study estimates the impact of green technology innovation and its interaction terms on CO(2) emission, by using the random and fixed effect estimate method, employs panel data of the G7 and BRICS countries from 1990 to 2019. The regression results show that a single type of green technological innovation has not a significant inhibitory effect on CO(2) emissions. The interaction of the two types of green technological innovations has a significant effect on the decrease of CO(2.) Moreover, the study test the difference effect of green technological innovations on CO(2) emission among the G7 and BRICS countries. Furthermore, we also choose appropriate instrument variables to deal with the endogenesis of the model and examine model robustness. The findings demonstrate that the empirical conclusions can hold true in the test. Based on the findings above, we puts forward a few policy recommendations for G7 countries and BRICS countries to reduce carbon dioxide emissions. Elsevier 2023-04-25 /pmc/articles/PMC10256825/ /pubmed/37305514 http://dx.doi.org/10.1016/j.heliyon.2023.e15683 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Tan, Wenting
Cao, Teng
Can green technology reduce carbon dioxide emissions? Evidence from G7 and BRICS countries
title Can green technology reduce carbon dioxide emissions? Evidence from G7 and BRICS countries
title_full Can green technology reduce carbon dioxide emissions? Evidence from G7 and BRICS countries
title_fullStr Can green technology reduce carbon dioxide emissions? Evidence from G7 and BRICS countries
title_full_unstemmed Can green technology reduce carbon dioxide emissions? Evidence from G7 and BRICS countries
title_short Can green technology reduce carbon dioxide emissions? Evidence from G7 and BRICS countries
title_sort can green technology reduce carbon dioxide emissions? evidence from g7 and brics countries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256825/
https://www.ncbi.nlm.nih.gov/pubmed/37305514
http://dx.doi.org/10.1016/j.heliyon.2023.e15683
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