基于因果和岭回归的新疆人口结构与CO_2排放关系分析  

Analysis of the relationship between population structure and CO_2 emissions in Xinjiang based on Granger causality and the ridge regression

作　　者：霍金炜[1,2] 杨德刚[1] 汪菲[1,2] 杨帆[1,2] 张文彪[1,2] 

机构地区：[1]中国科学院新疆生态与地理研究所,乌鲁木齐830011 [2]中国科学院大学,北京100049

出　　处：《中国科学院大学学报（中英文）》2015年第3期333-341,共9页Journal of University of Chinese Academy of Sciences

基　　金：中国科学院西部行动计划项目(KZCX2-XB3-01)资助

摘　　要：利用新疆1958—2011年CO2排放量和人口数据,运用格兰杰因果检验和岭回归模型对新疆人口因素变化与CO2排放之间的因果关系和作用力进行实证分析,结果如下.1)在改革开放前,所有人口指标均与CO2排放呈现双向的因果联系;但改革开放后,农村居民消费与CO2排放失去因果关系.2)人口因素对CO2排放的推动作用在不同的发展阶段变化较大;随着改革开放政策的实施,生活方式发生较大变化,家庭户数与消费逐步取代就业结构和人口总量成为CO2排放最主要的推动因素.With the data of CO2 emissions and population of Xinjiang from 1958 to 2011, we make empirical analysis on the causal relationship between the change in population factors and the CO2 emissions and on the acting force by using Granger causality test and the ridge regression model. The results are shown in the following. 1 ） Before the reform and opening up, the bidirectional causal relationship presents between all the relative indexes of population and CO2 emissions. However since the reform and opening up, the causal relationship between the countryside inhabitant cousumption and CO2 emissions disappears. 2）The promoting function of population factors on CO2 emissions is rather different in different stages of development. With the implementation of the reform and opening-up policy, the households and consumption become the main driving factos in place of employment structure and population gross.

关 键 词：人口结构 家庭户数 格兰杰因果 岭回归 

分 类 号：X24[环境科学与工程—环境科学] X321