Examining the impact factors of energy consumption related carbon footprints using the STIRPAT model and PLS model in Beijing

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	Examining the impact factors of energy consumption related carbon footprints using the STIRPAT model and PLS model in Beijing
	Li Zheng; Liu Xiao-Jie
	2014
关键词	Energy utilization Carbon dioxide Carbon footprint Global warming Industrial emissions Population statistics Urban growth
英文摘要	To explore the effects of population, urbanization, and technology on metropolitan's CO2 emissions, we examine Beijing city's carbon footprints of energy consumption during 1990-2011 using the revised footprint method. In particular, the influence factors of the carbon footprint of urban energy consumption are evaluated by STIRPAT model and PLS model. The results show that: urbanization, affluence, and population are the most important positive driving factors of Beijing city's CO2 emissions, while the impacts of energy consumption intensity, industrial structure and RD proportion in GDP are negative; the inverted U-shaped relationship between carbon footprints and affluence is not strongly supported by the estimation. The city's carbon footprints still increase, but the growing speed begins to slow down, which shows that the economic development and environment improvement have not achieved a coordinated effect.; simulation result further suggests that applied measures of integrated and compact urban function units, controlling excessive growth population, reasonable consumption for city dwellers, and technology innovation can help to reduce carbon dioxide emissions and develop the low-carbon city in Beijing.
出处	Zhongguo Huanjing Kexue/China Environmental Science
卷	34 期:6 页:1622-1632
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/31140]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Li Zheng,Liu Xiao-Jie. Examining the impact factors of energy consumption related carbon footprints using the STIRPAT model and PLS model in Beijing. 2014.