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通过构建一个包括经济总量、地区结构、电力消费强度、碳排放系数四因素的分解模型,运用LMDI方法对2000-2011年江苏工业电力消费的CO2排放量进行了地区分解。结果发现,经济总量的扩张始终是导致地区碳排放增长的决定性因素;而其余三因素对不同地区的碳排放的作用方向不确定,具体表现为部分地区部分时段促使碳排放量增加,部分时段却导致碳排放量减少;且影响程度大小不一,相比较而言,地区结构的作用程度最小,碳排放系数最大,而电力消费强度介于两者之间。
By decomposing a four-factor decomposition model including economic aggregate, regional structure, power consumption intensity and carbon emission coefficient, we use the LMDI method to decompose the CO2 emissions of Jiangsu’s industrial electricity consumption from 2000 to 2011. The results show that the expansion of economic aggregate has always been the decisive factor leading to the growth of regional carbon emissions. The other three factors have different directions on the carbon emissions in different regions. The specific performance is that carbon emissions have been increased in some regions and partly in some periods It leads to a decrease in carbon emissions; and the degree of impact varies. In contrast, the regional structure has the least effect, the carbon emission coefficient is the largest, and the power consumption intensity is in between.