中国居民碳排放时空特征及影响因素研究  

Spatial and temporal characteristics of Chinese residents' carbon emissions and its influencing factors

作　　者：张艳平[1,2] 张丽君[1,2] 崔盼盼[1,2] 郑智成[1,2] 孙莹莹 荣培君 ZHANG Yan-ping;ZHANG Li-jun;CUI Pan-pan;ZHENG Zhi-cheng;SUN Ying-ying;RONG Pei-jun(College of Environment and Planning, Henan University,Kaifeng 475004,Henan, China;Key Laboratory of Geospatial Technology for Middle and Lower Yellow Region, Henan University, Kaifeng 475004, Henan, China)

机构地区：[1]河南大学环境与规划学院,河南开封475004 [2]黄河中下游数字地理技术教育部重点实验室,河南开封475004

出　　处：《干旱区地理》2018年第2期401-408,共8页Arid Land Geography

基　　金：国家自然科学基金青年科学基金项目(41501588);国家自然科学基金面上项目(41671536)

摘　　要：基于中国30个省级单元人口、能源数据,运用SDA结构分解法,定量测度了1995—2014年居民碳排放的时空特征及影响因素。研究表明:除吉林外,其余各省居民碳排放呈增加态势,且区域分异程度呈现先降后升的变化特点;人均碳排放效率提高是居民碳排放量增加的主要因素,且历年贡献率呈增长趋势,效应高值区主要集中在北部地区;人口规模效应对居民碳排放增加的贡献率呈下降趋势,高值区主要分布于东南部,与胡焕庸线划分的人口密集区趋于一致;人口城镇化变化对居民碳排放变化具有双向效应,负向效应向东南部扩展,正向效应在北部凸起;依据各省差异,将各省划分为碳减排重点区、碳减排关键区、碳减排关注区,针对不同类型应采用差异化的碳减排模式。Research on the residents＇ carbon emissions is one of the important foundations for exploring a green and low-carbon lifestyle and for promoting the construction of beautiful China. In the past, most studies on carbon emissions focused on the industrial sector, while less on the residents＇ carbon emissions in the life sphere. With the growth of population, the transfer of a huge number of people from rural areas to cities and the change of residents＇ lifestyle, the residents＇ carbon emissions have changed. Based on the data of population and residential energy con- sumption, this study used the carbon emission coefficient method to estimate the residents＇ carbon emissions from 1995 to 2014. According to the dynamic changes of the total residents＇ carbon emissions in China, the years of 1995,2005 and 2015 were identified as the special time points in which the residents＇carbon emissions in all prov- inces were visualized by Arcgis, and the classification was conducted using Quartile classification method to analyze the spatial differences and evolution characteristics of residents＇ carbon emissions in each province. The SDA struc- tural decomposition method was used to quantitatively measure the effect of population size, population structure （urbanization） and per capita carbon emission efficiency on the change of residents＇ carbon emissions. The results indicated that except for Jilin,the rest of provinces showed an increasing trend for the residents＇ carbon emission, and the degree of regional differentiation presented the characteristics of decreasing first and then rising; the improvement of per capita carbon emission efficiency was the main factor for the increase of residents＇ carbon emis- sions, and the contribution ratio was growing year after year with the high values distributed mainly in the northern regions. The contribution of population size effect to the increase of residents＇ carbon emission showed a decreasing trend. The high value area was mainly distributed in the so

关 键 词：居民碳排放 SDA结构分解法 区域分异 效应分解 中国 

分 类 号：X24[环境科学与工程—环境科学]