摘要
减少二氧化碳的排放是减缓气候变化的主要措施之一,而中国作为世界上最大的碳排放国之一,中国的碳排放问题已成为国内外学术界共同关注的焦点.本文从空间的角度,以我国30个省城的碳排放量为研究对象,首先采用Sampson-Guttorp空间统计方法,研究碳排放的空间相关性,然后依据省份间相关程度进行了聚类分析,客观评估我国区域碳排放的特征。结果发现我国各省域之间的碳排放空间上有明显的正相关性,我国碳排放总体上呈现东部高西部低、北部高南部低、局部中北部高西北部低的空间分布格局.
It is one of the main measures to mitigate climate change that reduce carbon dioxide emissions. Since China is the one of the largest country of high carbon emissions, It is a common academic focus that China＇s carbon emissions.Using the methods of SampsomGuttorp spatial statistical in China＇s 30 provincial carbon emissions, the Spatial correlation of carbon emissions is studied in the upper part of this paper. To assess the characteristics of China＇s regional carbon emissions objectively, cluster analysis is based on the SG correlations between provinces at the next part. It is showed that there is a significantly positive correlation between carbon emissions, and it is presented that China＇s carbon emissions is high in the eastern and low in the western, high in the northern and low in the southern, and high in the north-central region and low in the north-west region partly.
出处
《数理统计与管理》
CSSCI
北大核心
2014年第1期1-8,共8页
Journal of Applied Statistics and Management
基金
国家自然科学基金青年科学基金项目(71001095)
高等学校博士学科点专项科研基金(20103402120010)
关键词
碳排放
SG相关系数
非线性相关
空间分布
carbon dioxide emission, SG correlation, nonlinear correlation, spatial distribution
