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Spatial-temporal evolution and peak prediction of embodied carbon emissions in China's interregional trade

The embodied carbon in inter-regional trade has a vital impact on the allocation of carbon emission reduction obligations and the formulation of carbon emission reduction strategies. Fewer studies have examined the spatial-temporal evolution pattern and peak prediction of embodied carbon emissions i...

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Autores principales: Mo, Shu, Wang, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630841/
https://www.ncbi.nlm.nih.gov/pubmed/36339160
http://dx.doi.org/10.3389/fpubh.2022.1010521
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author Mo, Shu
Wang, Ting
author_facet Mo, Shu
Wang, Ting
author_sort Mo, Shu
collection PubMed
description The embodied carbon in inter-regional trade has a vital impact on the allocation of carbon emission reduction obligations and the formulation of carbon emission reduction strategies. Fewer studies have examined the spatial-temporal evolution pattern and peak prediction of embodied carbon emissions in China's inter-regional trade compared with the more numerous results on embodied carbon in international commerce. This paper applies the multi-regional input-output method to estimate the embodied carbon in inter-regional trade resulting from value-added transfer and investigates the spatial and temporal evolution of its patterns. The existence of an environmental Kuznets curve model with embodied carbon emissions as the index of environmental pollution in China is examined, and the time of the inflection point is calculated. The environmental Kuznets curve model is divided into four stages, and a two-dimensional model of economic development and embodied carbon emissions is proposed. The empirical findings indicate that the embodied carbon in China's interregional commerce has an overall rising tendency in the temporal dimension and a distribution characteristic of high in the west and north and low in the east and south in the spatial dimension. The Environmental Kuznets curve, which uses embodied carbon emissions as a measure of environmental pollution, has an inverse U-shaped and the time required to reach the inflection point varies by area. Economic development cannot be cross-stage but can shorten the duration of high carbon emissions. The government should promote the development of differentiated carbon emission reduction policies in each region, construct an inter-regional cooperative carbon emission reduction mechanism, encourage the low-carbon development of inter-regional trade, and realize the internal cycle of China's green economy. This study serves as a guide for the regions to establish scientific and acceptable carbon emission reduction strategies in order to achieve quality interregional trade development.
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spelling pubmed-96308412022-11-04 Spatial-temporal evolution and peak prediction of embodied carbon emissions in China's interregional trade Mo, Shu Wang, Ting Front Public Health Public Health The embodied carbon in inter-regional trade has a vital impact on the allocation of carbon emission reduction obligations and the formulation of carbon emission reduction strategies. Fewer studies have examined the spatial-temporal evolution pattern and peak prediction of embodied carbon emissions in China's inter-regional trade compared with the more numerous results on embodied carbon in international commerce. This paper applies the multi-regional input-output method to estimate the embodied carbon in inter-regional trade resulting from value-added transfer and investigates the spatial and temporal evolution of its patterns. The existence of an environmental Kuznets curve model with embodied carbon emissions as the index of environmental pollution in China is examined, and the time of the inflection point is calculated. The environmental Kuznets curve model is divided into four stages, and a two-dimensional model of economic development and embodied carbon emissions is proposed. The empirical findings indicate that the embodied carbon in China's interregional commerce has an overall rising tendency in the temporal dimension and a distribution characteristic of high in the west and north and low in the east and south in the spatial dimension. The Environmental Kuznets curve, which uses embodied carbon emissions as a measure of environmental pollution, has an inverse U-shaped and the time required to reach the inflection point varies by area. Economic development cannot be cross-stage but can shorten the duration of high carbon emissions. The government should promote the development of differentiated carbon emission reduction policies in each region, construct an inter-regional cooperative carbon emission reduction mechanism, encourage the low-carbon development of inter-regional trade, and realize the internal cycle of China's green economy. This study serves as a guide for the regions to establish scientific and acceptable carbon emission reduction strategies in order to achieve quality interregional trade development. Frontiers Media S.A. 2022-10-20 /pmc/articles/PMC9630841/ /pubmed/36339160 http://dx.doi.org/10.3389/fpubh.2022.1010521 Text en Copyright © 2022 Mo and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Mo, Shu
Wang, Ting
Spatial-temporal evolution and peak prediction of embodied carbon emissions in China's interregional trade
title Spatial-temporal evolution and peak prediction of embodied carbon emissions in China's interregional trade
title_full Spatial-temporal evolution and peak prediction of embodied carbon emissions in China's interregional trade
title_fullStr Spatial-temporal evolution and peak prediction of embodied carbon emissions in China's interregional trade
title_full_unstemmed Spatial-temporal evolution and peak prediction of embodied carbon emissions in China's interregional trade
title_short Spatial-temporal evolution and peak prediction of embodied carbon emissions in China's interregional trade
title_sort spatial-temporal evolution and peak prediction of embodied carbon emissions in china's interregional trade
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630841/
https://www.ncbi.nlm.nih.gov/pubmed/36339160
http://dx.doi.org/10.3389/fpubh.2022.1010521
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