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Do environmental taxes and environmental stringency policies reduce CO(2) emissions? Evidence from 7 emerging economies

Environmental tax and environmental policy stringency are becoming central policy instruments for combating environmental degradation but there is a lack of studies that assess their combined effectiveness in mitigating emissions especially for emerging economies. We address this important gap by as...

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Autores principales: Wolde-Rufael, Yemane, Mulat-Weldemeskel, Eyob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791333/
https://www.ncbi.nlm.nih.gov/pubmed/33417133
http://dx.doi.org/10.1007/s11356-020-11475-8
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author Wolde-Rufael, Yemane
Mulat-Weldemeskel, Eyob
author_facet Wolde-Rufael, Yemane
Mulat-Weldemeskel, Eyob
author_sort Wolde-Rufael, Yemane
collection PubMed
description Environmental tax and environmental policy stringency are becoming central policy instruments for combating environmental degradation but there is a lack of studies that assess their combined effectiveness in mitigating emissions especially for emerging economies. We address this important gap by assessing the effectiveness of these two policy instruments in reducing CO(2) emission in a panel of 7 emerging economies for the period 1994–2015. We believe that this is the first attempt to apply these two important policy instruments in the same framework for testing their effectiveness in reducing CO(2) emissions in these 7 emerging economies. We apply heterogeneous panel data considering cross-sectional dependence and slope heterogeneity tests by using the Augmented Mean Group (AMG) which is efficient and unbiased and produces consistent estimates. We found an inverted U-shaped relationship between CO(2) emissions and environmental policy stringency suggesting that it takes time for environmental policy stringency to be effective. We also found unidirectional causality running from environmental policy stringency to CO(2) emission. CO(2) emission was negatively and significantly related to total environmental tax with causality running from total environmental tax to CO(2) emission thus supporting the “green dividend” hypothesis of improving environmental quality. In contrast, CO(2) emission and energy taxes were not causality related but CO(2) emission was negatively and significantly related to energy taxes. Robustness checks using the FMOLS also show that both environmental policy stringency and environmental taxes can be effective in mitigating CO(2) emissions.
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spelling pubmed-77913332021-01-08 Do environmental taxes and environmental stringency policies reduce CO(2) emissions? Evidence from 7 emerging economies Wolde-Rufael, Yemane Mulat-Weldemeskel, Eyob Environ Sci Pollut Res Int Research Article Environmental tax and environmental policy stringency are becoming central policy instruments for combating environmental degradation but there is a lack of studies that assess their combined effectiveness in mitigating emissions especially for emerging economies. We address this important gap by assessing the effectiveness of these two policy instruments in reducing CO(2) emission in a panel of 7 emerging economies for the period 1994–2015. We believe that this is the first attempt to apply these two important policy instruments in the same framework for testing their effectiveness in reducing CO(2) emissions in these 7 emerging economies. We apply heterogeneous panel data considering cross-sectional dependence and slope heterogeneity tests by using the Augmented Mean Group (AMG) which is efficient and unbiased and produces consistent estimates. We found an inverted U-shaped relationship between CO(2) emissions and environmental policy stringency suggesting that it takes time for environmental policy stringency to be effective. We also found unidirectional causality running from environmental policy stringency to CO(2) emission. CO(2) emission was negatively and significantly related to total environmental tax with causality running from total environmental tax to CO(2) emission thus supporting the “green dividend” hypothesis of improving environmental quality. In contrast, CO(2) emission and energy taxes were not causality related but CO(2) emission was negatively and significantly related to energy taxes. Robustness checks using the FMOLS also show that both environmental policy stringency and environmental taxes can be effective in mitigating CO(2) emissions. Springer Berlin Heidelberg 2021-01-08 2021 /pmc/articles/PMC7791333/ /pubmed/33417133 http://dx.doi.org/10.1007/s11356-020-11475-8 Text en © Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Wolde-Rufael, Yemane
Mulat-Weldemeskel, Eyob
Do environmental taxes and environmental stringency policies reduce CO(2) emissions? Evidence from 7 emerging economies
title Do environmental taxes and environmental stringency policies reduce CO(2) emissions? Evidence from 7 emerging economies
title_full Do environmental taxes and environmental stringency policies reduce CO(2) emissions? Evidence from 7 emerging economies
title_fullStr Do environmental taxes and environmental stringency policies reduce CO(2) emissions? Evidence from 7 emerging economies
title_full_unstemmed Do environmental taxes and environmental stringency policies reduce CO(2) emissions? Evidence from 7 emerging economies
title_short Do environmental taxes and environmental stringency policies reduce CO(2) emissions? Evidence from 7 emerging economies
title_sort do environmental taxes and environmental stringency policies reduce co(2) emissions? evidence from 7 emerging economies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791333/
https://www.ncbi.nlm.nih.gov/pubmed/33417133
http://dx.doi.org/10.1007/s11356-020-11475-8
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