解耦(概率)
温室气体
中国
可持续发展
发射强度
碳纤维
环境科学
自然资源经济学
环境工程
经济
地理
工程类
计算机科学
生态学
激发
电气工程
考古
算法
控制工程
复合数
政治学
法学
生物
作者
Ying Zhou,Dan Hu,Tong Wang,Hua Tian,Lu Gan
标识
DOI:10.1016/j.jclepro.2023.138243
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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