摘要
构建模型对我国能源消费碳排放量及排放强度进行了测度;对kaya模型进行了修正,选择五个自变量构建了多元线性检验模型,通过平稳性检验、滞后阶数检验和协整检验,确定了实证均衡方程和误差修正方程。研究发现：变量PG-1和UER对能源消费碳排放强度呈现逆向影响,UR、PEC和CD呈现正向影响,在全部影响因素中,CD因素的影响程度最大,UR因素的影响程度最小,其他依次为PEC、UER和PG-1。
This paper establishes the model to measures the carbon emission and its emission intensity of China＇s energy consumption. And then,it revises the Kayak model by choosing five independent variables and determines the empirical equilibrium equation and error correction equation by stationary test,lag order test and co integration test. Results show that,variables of PG-1 and UER have reverse effect on carbon emission intensity from energy consumption. Variables of UR,PEC and CD have positive effect on carbon emission intensity from energy consumption. Of all the influence factors,CD has the greatest influence degree,and UR has the least effect on carbon emission intensity,followed by PEC,UER,and PG-1.
作者
韩秀艳
孙涛
高明
HAN Xiu-yan;SUN Tao;GAO Ming(College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 211106;Department of Building Material Product Testing,Product Quality Inspection Institute of Shandong Province,Taian 271000)
出处
《软科学》
CSSCI
北大核心
2018年第9期90-93,共4页
Soft Science
基金
国家社会科学基金项目(15BGL056)
国家社会科学基金重大项目(16ZDA044)
关键词
新型城镇化建设
能源消费增长
碳排放强度控制
影响因素
new-type urbanization construction
energy consumption growth
carbon emission intensity controlling
influ-ence factors
