工业技术经济
工業技術經濟
공업기술경제
Industrial Technology & Economy
2015年
10期
137-144
,共8页
碳排放强度%影响因素%灰色关联分析%经济周期
碳排放彊度%影響因素%灰色關聯分析%經濟週期
탄배방강도%영향인소%회색관련분석%경제주기
carbon emission intensity%influencing factors%grey correlation analysis%business cycle
为了实现降低碳排放强度之目的,需要定量分析碳排放强度的影响因素.为此,本文从能源强度、能源结构、产业结构、经济发展水平各角度出发,选取了11个可能影响碳排放强度的因素.首先利用HP滤波对我国1978~2013年进行经济周期划分,基于1978~2013年不同周期的历史数据,利用灰色关联模型计算了我国不同经济周期内碳排放强度和各影响因素的综合关联度.根据GM(1,1)模型预测所得的2014~2020年的数据,计算并分析了我国碳排放强度和各影响因素综合关联度的发展变化.在总结分析不同时期碳排放强度主要影响因素的基础之上,提出了降低碳排放强度的政策建议.
為瞭實現降低碳排放彊度之目的,需要定量分析碳排放彊度的影響因素.為此,本文從能源彊度、能源結構、產業結構、經濟髮展水平各角度齣髮,選取瞭11箇可能影響碳排放彊度的因素.首先利用HP濾波對我國1978~2013年進行經濟週期劃分,基于1978~2013年不同週期的歷史數據,利用灰色關聯模型計算瞭我國不同經濟週期內碳排放彊度和各影響因素的綜閤關聯度.根據GM(1,1)模型預測所得的2014~2020年的數據,計算併分析瞭我國碳排放彊度和各影響因素綜閤關聯度的髮展變化.在總結分析不同時期碳排放彊度主要影響因素的基礎之上,提齣瞭降低碳排放彊度的政策建議.
위료실현강저탄배방강도지목적,수요정량분석탄배방강도적영향인소.위차,본문종능원강도、능원결구、산업결구、경제발전수평각각도출발,선취료11개가능영향탄배방강도적인소.수선이용HP려파대아국1978~2013년진행경제주기화분,기우1978~2013년불동주기적역사수거,이용회색관련모형계산료아국불동경제주기내탄배방강도화각영향인소적종합관련도.근거GM(1,1)모형예측소득적2014~2020년적수거,계산병분석료아국탄배방강도화각영향인소종합관련도적발전변화.재총결분석불동시기탄배방강도주요영향인소적기출지상,제출료강저탄배방강도적정책건의.
In order to realize the purpose of reducing carbon emission intensity,we need to analyze the influencing factors of it.This paper is from the perspective of the energy intensity,energy structure,industrial structure and economic development level,selected 11 possible influencing factors of carbon emission intensity.At first,the HP filter is used to divide the economic cycle of 1978-2013.According to the data from 1978 to 2013,this paper calculates the integrated incidence degree of the carbon emission intensity and the in-fluencing factors in different business cycles,as also the period from 2014 to 2020 by using the grey correlation model.According the pre-diction data of 2014 to 2020 based on GM(1,1)model,development and changes of the integrated incidence degree of the carbon emission intensity and the influencing factors are calculated and analyzed.In the analysis of influencing factors of carbon emission intensity in differ-ent periods,the policy suggestions of reducing the carbon emission intensity are put forward.