Cargando…
Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin
The Yellow River Basin (YRB) is China’s substantial energy consumption base. The issue of carbon emission efficiency directly affects the ecological protection and high-quality development of the YRB. It is the key to achieving carbon peak in 2030 and carbon neutralization in 2060 (“30.60”) double c...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947387/ https://www.ncbi.nlm.nih.gov/pubmed/35324928 http://dx.doi.org/10.1371/journal.pone.0264274 |
_version_ | 1784674427197194240 |
---|---|
author | Zhang, Yuan Yu, Zhen Zhang, Juan |
author_facet | Zhang, Yuan Yu, Zhen Zhang, Juan |
author_sort | Zhang, Yuan |
collection | PubMed |
description | The Yellow River Basin (YRB) is China’s substantial energy consumption base. The issue of carbon emission efficiency directly affects the ecological protection and high-quality development of the YRB. It is the key to achieving carbon peak in 2030 and carbon neutralization in 2060 (“30.60”) double carbon emission reduction targets. Therefore, taking YRB as the research object, this paper first calculates the carbon emission and the decoupling state in the YRB. Secondly, the super-efficiency slacks-based measurement (SE-SBM) model is combined with the Malmquist index to analyze the temporal and spatial evolution characteristics of YRB’s carbon emission efficiency from static and dynamic perspectives. Thirdly, the dynamic evolution characteristics of carbon emission efficiency are analyzed with the help of the Kernel density function. Finally, the Tobit model analyzes the influencing factors of YRB’s and China’s carbon emission efficiency. The results show that: (1) Among the nine provinces of YRB, the decoupling state between carbon emissions and economic growth in most provinces changes from weak decoupling to strong decoupling, and the decoupling elasticity index shows a fluctuating downward trend. (2) There are significant differences in carbon emission efficiency among provinces, but on the whole, it shows a stable growth trend. The high-value area of carbon emission efficiency is increasing, and the phenomenon of two-level differentiation is improving. The decline of the technological progress index causes the Malmquist index in Qinghai and Ningxia. On the contrary, the rise of the Malmquist index in the other seven provinces is caused by improving the technical efficiency index. (3) Industrial structure, economic development, and industrialization are the main positive factors affecting YRB’s carbon emission efficiency. Urbanization level, green development level, and energy consumption level are the leading negative indicators hindering YRB’s improvement of carbon emission efficiency. Therefore, targeted emission reduction suggestions should be formulated according to YRB’s resource endowment and development stage characteristics. |
format | Online Article Text |
id | pubmed-8947387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-89473872022-03-25 Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin Zhang, Yuan Yu, Zhen Zhang, Juan PLoS One Research Article The Yellow River Basin (YRB) is China’s substantial energy consumption base. The issue of carbon emission efficiency directly affects the ecological protection and high-quality development of the YRB. It is the key to achieving carbon peak in 2030 and carbon neutralization in 2060 (“30.60”) double carbon emission reduction targets. Therefore, taking YRB as the research object, this paper first calculates the carbon emission and the decoupling state in the YRB. Secondly, the super-efficiency slacks-based measurement (SE-SBM) model is combined with the Malmquist index to analyze the temporal and spatial evolution characteristics of YRB’s carbon emission efficiency from static and dynamic perspectives. Thirdly, the dynamic evolution characteristics of carbon emission efficiency are analyzed with the help of the Kernel density function. Finally, the Tobit model analyzes the influencing factors of YRB’s and China’s carbon emission efficiency. The results show that: (1) Among the nine provinces of YRB, the decoupling state between carbon emissions and economic growth in most provinces changes from weak decoupling to strong decoupling, and the decoupling elasticity index shows a fluctuating downward trend. (2) There are significant differences in carbon emission efficiency among provinces, but on the whole, it shows a stable growth trend. The high-value area of carbon emission efficiency is increasing, and the phenomenon of two-level differentiation is improving. The decline of the technological progress index causes the Malmquist index in Qinghai and Ningxia. On the contrary, the rise of the Malmquist index in the other seven provinces is caused by improving the technical efficiency index. (3) Industrial structure, economic development, and industrialization are the main positive factors affecting YRB’s carbon emission efficiency. Urbanization level, green development level, and energy consumption level are the leading negative indicators hindering YRB’s improvement of carbon emission efficiency. Therefore, targeted emission reduction suggestions should be formulated according to YRB’s resource endowment and development stage characteristics. Public Library of Science 2022-03-24 /pmc/articles/PMC8947387/ /pubmed/35324928 http://dx.doi.org/10.1371/journal.pone.0264274 Text en © 2022 Zhang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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 Zhang, Yuan Yu, Zhen Zhang, Juan Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin |
title | Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin |
title_full | Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin |
title_fullStr | Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin |
title_full_unstemmed | Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin |
title_short | Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin |
title_sort | spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the yellow river basin |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947387/ https://www.ncbi.nlm.nih.gov/pubmed/35324928 http://dx.doi.org/10.1371/journal.pone.0264274 |
work_keys_str_mv | AT zhangyuan spatiotemporalevolutioncharacteristicsanddynamicefficiencydecompositionofcarbonemissionefficiencyintheyellowriverbasin AT yuzhen spatiotemporalevolutioncharacteristicsanddynamicefficiencydecompositionofcarbonemissionefficiencyintheyellowriverbasin AT zhangjuan spatiotemporalevolutioncharacteristicsanddynamicefficiencydecompositionofcarbonemissionefficiencyintheyellowriverbasin |