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中国居民直接生活能源消费碳排放时空特征分析 被引量:5

Spatial-temporal Characteristic Analysis on Carbon Emissions of Residents' Direct Life Energy Consumption in China
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摘要 随着人们生活水平的不断提高,生活能源消费已成为能源消耗和碳排放的重要来源之一。文章基于2003-2015年全国30个省市的统计数据,运用Moran's I指数分析法和Kernel密度估计法从空间和时间两个视角对我国各省市直接生活能源消费碳排放的时空特征进行了研究分析。结果表明:(1)从空间角度来看,居民直接生活能源消费碳排放具有明显的集聚特征,并存在较大的地区差异;其碳强度在空间上呈现出"西北高-东南低"的特点,高碳排放区主要集中在京津冀、黄河中游和西北地区,低碳排放区主要集中在长三角和东部沿海地区;(2)从时间角度来看,居民直接生活能源消费碳强度逐年下降,且地区差距整体呈下降态势,其中城镇差距不断扩大,农村差距先小幅度扩大后大幅度缩小。以期此文章有助于碳减排政策的制定和实施。 With the continuous improvement of people's living standard, life energy consumption has become an important source of energy consumption and carbon emissions. Based on the statistical data from 2003 to 2015 of 30 provinces in China, Moran's I index analysis and Kernel density estimation method were used to analyze the temporal and spatial characteristics of carbon emissions of direct living energy consumption in China's provinces and cities from two perspectives of space and time. The results show that: (1) From the perspective of space, the carbon emissions of residents" direct living energy consumption has obvious agglomeration characteristics, and there are large regional differences; The carbon emission intensity in space shows the characteristics of "northwest high - southeast low", the high carbon emissions areas are mainly concentrated in the Beijing-Tianjin-Hebei area, the middle Yellow River region and the northwest zone, and the low carbon emissions areas are mainly concentrated in the Yangtze River Delta and the eastern coastal areas. (2) From the perspective of time, the carbon emission intensity of the life energy consumption is declining year by year; Regional gap as a whole shows a downward trend, in which the urban gap continues to expand, and the rural gap increases slightly at first and then decreases drastically. We expect that this paper can contribute to the development and implementation of carbon emissions reduction policies.
作者 赵丽萍 王瑶瑶 ZHAO Li-ping;WANG Yao-yao(School of Economics and Management,Taiyuan University of Technology, Taiyuan 030024,Shanxi,Chin)
出处 《消费经济》 北大核心 2018年第2期45-51,共7页 Consumer Economics
基金 国家自然科学基金项目(71373170) 山西省软科学项目(2017041006)
关键词 直接生活能源消费 碳强度 时空特征 Moran’s 指数 Kernel密度估计 Direct Life Energy Consumption Ccarbon Intensity Spatial-temporal Characteristic Moran's ⅠIndex Kernel Density Estimation
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