Cargando…

Spatiotemporal dynamic differences of energy-related CO(2) emissions and the related driven factors in six regions of China during two decades

Carbon neutrality lays out a grand blueprint for carbon emission reduction and climate governance in China. How to reduce energy consumption is the key to achieving this goal. The economic development and energy consumption show a very large gap at the provincial level, and this paper divides China...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Boyu, Bai, Zhongke, Wang, Jinman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616998/
https://www.ncbi.nlm.nih.gov/pubmed/34826069
http://dx.doi.org/10.1007/s11356-021-17482-7
_version_ 1784604450683355136
author Yang, Boyu
Bai, Zhongke
Wang, Jinman
author_facet Yang, Boyu
Bai, Zhongke
Wang, Jinman
author_sort Yang, Boyu
collection PubMed
description Carbon neutrality lays out a grand blueprint for carbon emission reduction and climate governance in China. How to reduce energy consumption is the key to achieving this goal. The economic development and energy consumption show a very large gap at the provincial level, and this paper divides China into six regions (North, Northeast, East, Mid-South, Southwest, and Northwest) and analyzes the dynamic changes and reveals the driving factors that have affected CO(2) emission changes from 1997 to 2017. Then, the driving forces including energy intensity, energy structure, energy efficiency, economic activity, and population scale were discussed employing the logarithmic mean Divisia index (LMDI) based on provincial panel data. The results show that CO(2) emissions from energy consumption show an upward trend, from 4145 Mt in 1997 to 13,250 Mt in 2017, with an annual average growth rate of 1.06%; coal consumption is the main source of CO(2) emission. The regions with the highest proportion of CO(2) emissions are the East and North, which account for 50% of total emissions. China’s CO(2) emissions from energy consumption, coal consumption, and output have shown significant spatial autocorrelation at the provincial scale. According to coal consumption, energy consumption CO(2) emissions are divided into three stages: phase I (1997–2002), the increase in CO(2) emissions in six regions was attributed to significant and positive impacts of energy intensity, economic activity, and population scale, the effects of which exceeded those of the energy structure and energy efficiency; phase II (2003–2012), the economic activity effect on CO(2) emissions was highest in the East region, followed by the North and Mid-South regions; phase III (2013–2017), the East, Mid-South, and Southwest regions of China were dominated by the positive effects of energy intensity, economic activity, and population scale. The major driver of CO(2) emissions is economic activity; the energy efficiency effect is an important inhibitory factor. Regional economic development and energy consumption in China are unbalanced; we conclude that differentiated emission reduction measures should be of particular concern for policymakers.
format Online
Article
Text
id pubmed-8616998
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-86169982021-11-26 Spatiotemporal dynamic differences of energy-related CO(2) emissions and the related driven factors in six regions of China during two decades Yang, Boyu Bai, Zhongke Wang, Jinman Environ Sci Pollut Res Int Research Article Carbon neutrality lays out a grand blueprint for carbon emission reduction and climate governance in China. How to reduce energy consumption is the key to achieving this goal. The economic development and energy consumption show a very large gap at the provincial level, and this paper divides China into six regions (North, Northeast, East, Mid-South, Southwest, and Northwest) and analyzes the dynamic changes and reveals the driving factors that have affected CO(2) emission changes from 1997 to 2017. Then, the driving forces including energy intensity, energy structure, energy efficiency, economic activity, and population scale were discussed employing the logarithmic mean Divisia index (LMDI) based on provincial panel data. The results show that CO(2) emissions from energy consumption show an upward trend, from 4145 Mt in 1997 to 13,250 Mt in 2017, with an annual average growth rate of 1.06%; coal consumption is the main source of CO(2) emission. The regions with the highest proportion of CO(2) emissions are the East and North, which account for 50% of total emissions. China’s CO(2) emissions from energy consumption, coal consumption, and output have shown significant spatial autocorrelation at the provincial scale. According to coal consumption, energy consumption CO(2) emissions are divided into three stages: phase I (1997–2002), the increase in CO(2) emissions in six regions was attributed to significant and positive impacts of energy intensity, economic activity, and population scale, the effects of which exceeded those of the energy structure and energy efficiency; phase II (2003–2012), the economic activity effect on CO(2) emissions was highest in the East region, followed by the North and Mid-South regions; phase III (2013–2017), the East, Mid-South, and Southwest regions of China were dominated by the positive effects of energy intensity, economic activity, and population scale. The major driver of CO(2) emissions is economic activity; the energy efficiency effect is an important inhibitory factor. Regional economic development and energy consumption in China are unbalanced; we conclude that differentiated emission reduction measures should be of particular concern for policymakers. Springer Berlin Heidelberg 2021-11-26 2022 /pmc/articles/PMC8616998/ /pubmed/34826069 http://dx.doi.org/10.1007/s11356-021-17482-7 Text en © The Author(s), under exclusive licence to 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
Yang, Boyu
Bai, Zhongke
Wang, Jinman
Spatiotemporal dynamic differences of energy-related CO(2) emissions and the related driven factors in six regions of China during two decades
title Spatiotemporal dynamic differences of energy-related CO(2) emissions and the related driven factors in six regions of China during two decades
title_full Spatiotemporal dynamic differences of energy-related CO(2) emissions and the related driven factors in six regions of China during two decades
title_fullStr Spatiotemporal dynamic differences of energy-related CO(2) emissions and the related driven factors in six regions of China during two decades
title_full_unstemmed Spatiotemporal dynamic differences of energy-related CO(2) emissions and the related driven factors in six regions of China during two decades
title_short Spatiotemporal dynamic differences of energy-related CO(2) emissions and the related driven factors in six regions of China during two decades
title_sort spatiotemporal dynamic differences of energy-related co(2) emissions and the related driven factors in six regions of china during two decades
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616998/
https://www.ncbi.nlm.nih.gov/pubmed/34826069
http://dx.doi.org/10.1007/s11356-021-17482-7
work_keys_str_mv AT yangboyu spatiotemporaldynamicdifferencesofenergyrelatedco2emissionsandtherelateddrivenfactorsinsixregionsofchinaduringtwodecades
AT baizhongke spatiotemporaldynamicdifferencesofenergyrelatedco2emissionsandtherelateddrivenfactorsinsixregionsofchinaduringtwodecades
AT wangjinman spatiotemporaldynamicdifferencesofenergyrelatedco2emissionsandtherelateddrivenfactorsinsixregionsofchinaduringtwodecades