The improvement of CO2 emission reduction policies based on system dynamics method in traditional industrial region with large CO2 emission

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	The improvement of CO2 emission reduction policies based on system dynamics method in traditional industrial region with large CO2 emission
	Li Zehong; Dong Suocheng; Li Yu
	2012
关键词	Carbon dioxide Economics Emission control Energy policy Industrial emissions Industry System theory
英文摘要	Some traditional industrial regions are characterized by high industrial proportion and large CO2 emission. They are facing dual pressures of maintaining economic growth and largely reducing CO2 emission. From the perspective of study of typological region, taking the typical traditional industrial region-Liaoning Province of China as a case, this study establishes a system dynamics model named EECP and dynamically simulates CO2 emission trends under different conditions. Simulation results indicate, compared to the condition without CO2 emission reduction policies, CO2 emission intensity under the condition of implementing CO2 emission reduction policies of "Twelfth Five-Year Plan" is decreased by 11 % from 2009 to 2030, but the economic cost is high, making the policies implementation faces resistance. Then some improved policies are offered and proved by EECP model that they can reduce CO2 emission intensity after 2021 and decrease the negative influence to GDP, realizing the improvement objects of reducing CO2 emission and simultaneously keeping a higher economy growth speed. The improved policies can provide reference for making and improving CO2 emission reduction policies in other traditional industrial regions with large CO2 emission. Simultaneously, EECP model can provide decision-makers with reference and help for similar study of energy policy. 2012 Elsevier Ltd.
出处	Energy Policy
卷	51 页:683-695
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/311030/27631]
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 Zehong,Dong Suocheng,Li Yu. The improvement of CO2 emission reduction policies based on system dynamics method in traditional industrial region with large CO2 emission. 2012.