兰州商学院学报
蘭州商學院學報
란주상학원학보
JOURNAL OF LANZHOU COMMERCIAL COLLEGE
2014年
5期
16-23
,共8页
能源消费碳足迹%STIRPAT 模型%影响因素%岭回归%新疆
能源消費碳足跡%STIRPAT 模型%影響因素%嶺迴歸%新疆
능원소비탄족적%STIRPAT 모형%영향인소%령회귀%신강
carbon footprint%STIRPAT%influencing factors%Ridge Regression%Xinjiang
经济增长对能源消费的依赖性与生态环境恶化的矛盾日趋严重。本文采用 IPCC 方法测算了新疆能源消费碳足迹,利用岭回归对扩展的 STIRPAT 模型进行拟合,分析了各因素对碳足迹影响的演进规律,结果表明:1990-2011年新疆能源消费碳足迹整体上呈上升趋势,年均增长率为5.82%,其中能源消费碳足迹的构成中以煤炭为主,石油次之,天然气最小;新疆能源消费碳足迹产值在绝对数值和增长率方面都处于较低的水平,能源利用效率还有待提高;新疆不存在环境库兹涅茨曲线;各驱动因素对碳足迹增长的贡献会随着时间推移发生变化,人均GDP 从2011年起已经成为对碳足迹影响最大的驱动力,而城镇化率对碳足迹的影响相对有限。
經濟增長對能源消費的依賴性與生態環境噁化的矛盾日趨嚴重。本文採用 IPCC 方法測算瞭新疆能源消費碳足跡,利用嶺迴歸對擴展的 STIRPAT 模型進行擬閤,分析瞭各因素對碳足跡影響的縯進規律,結果錶明:1990-2011年新疆能源消費碳足跡整體上呈上升趨勢,年均增長率為5.82%,其中能源消費碳足跡的構成中以煤炭為主,石油次之,天然氣最小;新疆能源消費碳足跡產值在絕對數值和增長率方麵都處于較低的水平,能源利用效率還有待提高;新疆不存在環境庫玆涅茨麯線;各驅動因素對碳足跡增長的貢獻會隨著時間推移髮生變化,人均GDP 從2011年起已經成為對碳足跡影響最大的驅動力,而城鎮化率對碳足跡的影響相對有限。
경제증장대능원소비적의뢰성여생태배경악화적모순일추엄중。본문채용 IPCC 방법측산료신강능원소비탄족적,이용령회귀대확전적 STIRPAT 모형진행의합,분석료각인소대탄족적영향적연진규률,결과표명:1990-2011년신강능원소비탄족적정체상정상승추세,년균증장솔위5.82%,기중능원소비탄족적적구성중이매탄위주,석유차지,천연기최소;신강능원소비탄족적산치재절대수치화증장솔방면도처우교저적수평,능원이용효솔환유대제고;신강불존재배경고자열자곡선;각구동인소대탄족적증장적공헌회수착시간추이발생변화,인균GDP 종2011년기이경성위대탄족적영향최대적구동력,이성진화솔대탄족적적영향상대유한。
With the development of economy, the contradiction between its growth in the dependence of energy consumption and ecological environment is becoming increasingly serious. The study is aimed to analyze the influences of related factors on the evolution of carbon footprint. In this paper, we calculated Carbon Footprint of Energy Consumption in Xinjiang by IPCC, and developed the model STIRPAT by the tool of Ridge Regression. It is concluded that the overall ECCFX was growing with an average annual growth rate of 5. 82% from 1990 to 2011,which was mainly sourcing from coal, followed by oil and natu-ral gas, but it was fairy low at absolute value and growth rates in the output, which were needed to be im-proved. In this study, we also found that it was the population, GDP in average and urbanization rate that mainly led to the increment of energy consumption, and the extensive growth strategy did not prevent the ECCFX from declining. Also,the environment of Xinjiang was not applied to the Kuznets Curve, and the contribution of the driving factors were changing as time went by. The GDP in average had become the greatest impact on the ECCFX,while the influence from urbanization was relatively limited from 2011.