Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2022
2022
Historique:
received:
21
09
2021
accepted:
07
02
2022
entrez:
24
3
2022
pubmed:
25
3
2022
medline:
22
4
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 35324928
doi: 10.1371/journal.pone.0264274
pii: PONE-D-21-30576
pmc: PMC8947387
doi:
Substances chimiques
Carbon
7440-44-0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0264274Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
Sci Rep. 2021 May 11;11(1):9953
pubmed: 33976285
PLoS One. 2020 Nov 18;15(11):e0242029
pubmed: 33206677
J Environ Manage. 2019 Sep 1;245:302-310
pubmed: 31158682
J Clean Prod. 2018 Jul 1;188:38-48
pubmed: 32288345
Sci Total Environ. 2019 May 1;663:878-888
pubmed: 30738267
J Environ Manage. 2021 Dec 15;300:113738
pubmed: 34543964
PLoS One. 2020 Feb 7;15(2):e0228223
pubmed: 32032386
Environ Sci Pollut Res Int. 2021 Jan;28(2):1533-1544
pubmed: 32844341
Environ Sci Pollut Res Int. 2021 Dec;28(47):66914-66929
pubmed: 34236609
J Environ Manage. 2020 May 1;261:110227
pubmed: 32148297
Sci Prog. 2021 Apr-Jun;104(2):368504211018054
pubmed: 34003677