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近年居民碳排放比重逐年上升。在此背景下,文章测算了1990—2014年我国居民生活用能碳排放,并运用STIRPAT模型定量分析各变量对生活用能碳排放的影响。结果表明:能源结构、居民消费水平、城镇化率对我国居民生活用能碳排放的影响程度相对较大;从绝对视角来看,各因素的弹性系数绝对值依次为:人口规模、城市化率、能源结构(负值)、居民消费水平和能源强度。研究结果为我国能源结构的优化、集约型城市化的发展以及低碳消费的倡导提供理论基础。
In recent years, the proportion of residents’ carbon emissions has increased year by year. In this context, the article measures the carbon emissions of households in China from 1990 to 2014, and uses the STIRPAT model to quantitatively analyze the impact of various variables on carbon emissions from household energy use. The results show that the impact of energy structure, household consumption level, and urbanization rate on the carbon emissions of households in China is relatively large. From an absolute perspective, the absolute values of the elastic coefficients of various factors are: population size and urbanization rate. , energy structure (negative value), household consumption level and energy intensity. The research results provide a theoretical basis for the optimization of China’s energy structure, the development of intensive urbanization, and the promotion of low-carbon consumption.