共 50 条
Decoupling effect and spatial-temporal characteristics of carbon emissions from construction industry in China
被引:28
|作者:
Zhou, Ying
[1
]
Hu, Dan
[1
]
Wang, Tong
[2
]
Tian, Huan
[1
]
Gan, Lu
[1
]
机构:
[1] Sichuan Agr Univ, Coll Architecture & Urban Rural Planning, Dujiangyan 611800, Peoples R China
[2] Housing & Urban Rural Dev Bur Fucheng Dist, Mianyang 621000, Peoples R China
关键词:
Carbon emissions;
Construction industry;
Spatial autocorrelation;
Decoupling theory;
Influencing factors;
CO2;
EMISSIONS;
ECONOMIC-GROWTH;
ENERGY;
SECTOR;
DECOMPOSITION;
REGRESSION;
INTENSITY;
ABATEMENT;
IMPACT;
OUTPUT;
D O I:
10.1016/j.jclepro.2023.138243
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
The construction industry is one of the most energy-intensive industries in China, which contributes to high carbon emissions and hinders efforts to reduce the emissions. The high energy consumption and emission have seriously constrained the growth of low carbon economy in China's construction industry. And reducing the carbon emission from construction industry (CECI) has become the key to sustainable development and the achievement of "double carbon target". The paper firstly decomposes the main influencing factors and calculates their effects by LMDI model. Then, the Tapio decoupling index is used to explore the decoupling relationship between carbon emissions and economic output. Finally, the spatial-temporal evolution of carbon emissions is analyzed through spatial autocorrelation theory. The results show that the carbon emissions from construction industry are highly increased by the construction employment rate (EM), and may be reduced by the energy intensity (EI) and carbon emission efficiency (CI). And the regions with better decoupling status are the eastern and central regions, which have relatively developed construction industry. Moreover, the spatial-temporal characteristic of carbon emissions is "high in the east and low in the west, high in the south and low in the north," showing obviously regional differences.
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页数:12
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