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Dynamic evolution analysis of the factors driving the growth of energy-related CO(2) emissions in China: An input-output analysis
In recent years, the global greenhouse effect caused by excessive energy-related carbon emissions has attracted more and more attention. In this paper, we studied the dynamic evolution of factors driving China's energy-related CO(2) emissions growth from 2007 to 2015 by using energy consumption...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743954/ https://www.ncbi.nlm.nih.gov/pubmed/33326468 http://dx.doi.org/10.1371/journal.pone.0243557 |
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author | Ma, Yan Song, Zhe Li, Shuangqi Jiang, Tangyang |
author_facet | Ma, Yan Song, Zhe Li, Shuangqi Jiang, Tangyang |
author_sort | Ma, Yan |
collection | PubMed |
description | In recent years, the global greenhouse effect caused by excessive energy-related carbon emissions has attracted more and more attention. In this paper, we studied the dynamic evolution of factors driving China's energy-related CO(2) emissions growth from 2007 to 2015 by using energy consumption method and input-output analysis and used the IO-SDA model to decompose the energy carbon emissions. Within the research interval, the results showed that (1) on the energy supply-side, the high carbon energy represented by raw coal was still the main factor to promote the growth of energy-related CO(2) emissions. However, the optimization of energy consumption structure is conducive to reducing emissions. Specifically, the high carbon energy represented by raw coal exhibited a downward trend in promoting the increment of energy-related CO(2) emissions, while the clean energy represented by natural gas showed an upward trend in promoting the increment of CO(2) emissions. It is worth noting that there is still a lot of room for optimization of China’s energy consumption structure to reduce emissions. (2) On the energy demand-side, the final demand effect is the main driving force of the growth of carbon emissions from fossil energy. Among them, the secondary industry plays a major role in the final demand effect. The "high carbonization" of the final product reflects the characteristics of China's high energy input in the process of industrialization. At the same time, since the carbon emission efficiency of the tertiary industry and the primary industry is better than that of the secondary industry, actively optimizing the industrial structure is conducive to slowing down the growth of carbon emission brought by the demand effect. (3) The input structure effect is the main restraining factor for the growth of energy carbon emissions, while the energy intensity effect has a slight driving effect on the growth of energy carbon emissions. The results show that China's "extensive" economic growth model has been effectively reversed, but the optimization of fossil energy utilization efficiency is still not obvious, and there is still a large space to curb carbon emissions by improving fossil energy utilization efficiency in the future. |
format | Online Article Text |
id | pubmed-7743954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-77439542020-12-31 Dynamic evolution analysis of the factors driving the growth of energy-related CO(2) emissions in China: An input-output analysis Ma, Yan Song, Zhe Li, Shuangqi Jiang, Tangyang PLoS One Research Article In recent years, the global greenhouse effect caused by excessive energy-related carbon emissions has attracted more and more attention. In this paper, we studied the dynamic evolution of factors driving China's energy-related CO(2) emissions growth from 2007 to 2015 by using energy consumption method and input-output analysis and used the IO-SDA model to decompose the energy carbon emissions. Within the research interval, the results showed that (1) on the energy supply-side, the high carbon energy represented by raw coal was still the main factor to promote the growth of energy-related CO(2) emissions. However, the optimization of energy consumption structure is conducive to reducing emissions. Specifically, the high carbon energy represented by raw coal exhibited a downward trend in promoting the increment of energy-related CO(2) emissions, while the clean energy represented by natural gas showed an upward trend in promoting the increment of CO(2) emissions. It is worth noting that there is still a lot of room for optimization of China’s energy consumption structure to reduce emissions. (2) On the energy demand-side, the final demand effect is the main driving force of the growth of carbon emissions from fossil energy. Among them, the secondary industry plays a major role in the final demand effect. The "high carbonization" of the final product reflects the characteristics of China's high energy input in the process of industrialization. At the same time, since the carbon emission efficiency of the tertiary industry and the primary industry is better than that of the secondary industry, actively optimizing the industrial structure is conducive to slowing down the growth of carbon emission brought by the demand effect. (3) The input structure effect is the main restraining factor for the growth of energy carbon emissions, while the energy intensity effect has a slight driving effect on the growth of energy carbon emissions. The results show that China's "extensive" economic growth model has been effectively reversed, but the optimization of fossil energy utilization efficiency is still not obvious, and there is still a large space to curb carbon emissions by improving fossil energy utilization efficiency in the future. Public Library of Science 2020-12-16 /pmc/articles/PMC7743954/ /pubmed/33326468 http://dx.doi.org/10.1371/journal.pone.0243557 Text en © 2020 Ma et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ma, Yan Song, Zhe Li, Shuangqi Jiang, Tangyang Dynamic evolution analysis of the factors driving the growth of energy-related CO(2) emissions in China: An input-output analysis |
title | Dynamic evolution analysis of the factors driving the growth of energy-related CO(2) emissions in China: An input-output analysis |
title_full | Dynamic evolution analysis of the factors driving the growth of energy-related CO(2) emissions in China: An input-output analysis |
title_fullStr | Dynamic evolution analysis of the factors driving the growth of energy-related CO(2) emissions in China: An input-output analysis |
title_full_unstemmed | Dynamic evolution analysis of the factors driving the growth of energy-related CO(2) emissions in China: An input-output analysis |
title_short | Dynamic evolution analysis of the factors driving the growth of energy-related CO(2) emissions in China: An input-output analysis |
title_sort | dynamic evolution analysis of the factors driving the growth of energy-related co(2) emissions in china: an input-output analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743954/ https://www.ncbi.nlm.nih.gov/pubmed/33326468 http://dx.doi.org/10.1371/journal.pone.0243557 |
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