基于指数分解的居民生活用能碳排放影响因素研究  

CO_2 Emissions Induced by Household Consumption and Its Driving Forces in China: an Empirical Analysis Based on the LMDI Model

作　　者：汪臻[1,2] 汝醒君[3] 

机构地区：[1]北京大学光华管理学院,北京100871 [2]中国国际经济咨询有限公司,北京100004 [3]杭州电子科技大学管理学院,浙江杭州310018

出　　处：《生态经济》2015年第4期51-55,共5页Ecological Economy

基　　金：国家自然科学基金项目"基于消费行为的碳足迹测定及演化机理研究"(71171183)

摘　　要：运用对数均值迪氏指数（LMDI）因素分解法,构建了居民生活用能碳排放影响因素模型,并运用该模型对2000~2012年中国居民生活用能碳排放影响因素进行了实证研究。研究发现,造成我国居民生活用能碳排放快速增长的最主要原因是人均消费水平的提高,其次是居民能源消费支出占总生活消费支出比重的增加。能源消费结构的改变促进了居民生活用能碳排放量的减少,是抑制我国居民生活用能碳排放量减少的主要力量。能源价格的不断上升,也在一定程度上促进了居民生活用能消费及碳排放量的降低。This paper builds a model of driving forces of carbon emissions induced by household consumption based on LMDI, and does an empirical analysis on China with 2000 to 2012. The studies show that the main pushing power of carbon emissions induced by the raising level of per capita consumption, the next is the increasing of share of household energy consumption spending in total household living consumption. The change of structure of energy consumption reduced the carbon emissions, and it is the major power in reducing the carbon emissions. The raising of energy price also reduces the carbon emissions to a certain extent.

关 键 词：居民生活用能 碳排放 指数分解 影响因素 

分 类 号：F062.2[经济管理—政治经济学]