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中国碳排放灰色预测
引用本文:赵爱文,李东.中国碳排放灰色预测[J].数学的实践与认识,2012,42(4):61-69.
作者姓名:赵爱文  李东
作者单位:南京航空航天大学经济与管理学院,江苏南京,210016
基金项目:国家经济动员办公室项目,江苏省普通高校研究生科研创新计划项目
摘    要:中国碳排放问题成为世界关注的焦点问题.预测中国未来碳排放有助于实现2020年的碳减排目标.选取2002-2009年中国碳排放数据,通过灰色GM(1,1)模型,对中国碳排放进行了短期预测.模型检验结果表明:预测精度为二级,关联度、均方差比值和小误差概率均为一级,预测结果与实际值出入较小,到2015年中国碳排放量将超过三十二亿吨碳,"十二五"期间二氧化碳减排形势严峻.针对研究结果,提出发展低碳经济,提高能源效率和发展非化石能源来降低碳排放的策略.

关 键 词:碳排放  灰色预测  GM(1  1)模型  模型检验

Grey Forecast of China's Carbon Dioxide Emissions
ZHAO Ai-wen , LI Dong.Grey Forecast of China's Carbon Dioxide Emissions[J].Mathematics in Practice and Theory,2012,42(4):61-69.
Authors:ZHAO Ai-wen  LI Dong
Institution:2 (College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 210016, China)
Abstract:Carbon emissions in China is becoming the focus of world attention.Forecasting China’s carbon emission is conducive to realize the carbon reduction target in 2020.Based on the data about China’s carbon emissions from 2002 to 2009,this paper uses GM(1,1)model to implement short-term prediction about China’s carbon emissions.The results show that prediction accuracy is B,correlation degree standard and deviation ratio and small error probability is A.The disparity between predicted value and actual value is very small.China’s carbon dioxide emissions will be more than thirty-two billion tons by 2015 and the situation of carbon reduction will be very grim during the Twelfth Five Years.Finally,we propose the countermeasure that is to develop low-carbon economy,improve energy efficiency and develop non-fossil energy to reduce carbon emissions.
Keywords:carbon dioxide emissions  grey prediction  GM(1  1) model  model checking
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