作者: Longyu Shi , Jing Sun , Jianyi Lin , Yang Zhao
DOI: 10.1016/J.JES.2018.03.026
关键词: Megacity 、 Standard of living 、 Environmental science 、 Per capita 、 Agricultural economics 、 Factor decomposition 、 Beijing 、 Divisia index 、 Energy conservation 、 Greenhouse gas
摘要: Abstract In this article, per capita urban carbon emissions were decomposed into manufacturing, transportation, and construction sectors using logarithmic mean Divisia index (LMDI) method. This new decomposition method can provide information about specific drivers of emissions, including growth resident living standards, rather than general demographic economic factors identified by traditional methods. Using four Chinese megacities (Beijing, Tianjin, Shanghai, Chongqing) as case studies, we analyzed the that influenced from 2010 to 2015. The results showed increased in Tianjin Chongqing whereas decreased Beijing manufacturing was a key driving force. these megacities, energy conservation strategies successfully implemented despite poor structure optimization during 2010–2015. Development improvement standards cities led an increase emissions. unique dual-core form might mitigate caused transportation sector. Reductions could be achieved further optimizing structures, limiting number private cars, controlling construction.