基于LARS-Lasso方法的碳足迹影响因素分析  

Analysis of the Factors Influencing Carbon Footprint Based on LARS-Lasso Method

作　　者：唐建荣 邓林 

机构地区：[1]江南大学商学院,江苏无锡214122

出　　处：《软科学》2014年第9期124-128,共5页Soft Science

基　　金：国家社会科学基金项目(08BYJ060);教育部人文社会科学基金项目(11YJAZH084)

摘　　要：运用LARS算法实现Lasso过程,从12个因素中筛选出显著影响因素,并得到其权重及标准的参数估计模型。结果表明:能源结构是形成碳足迹的主要动因;人口数量、经济规模和能源强度是影响碳足迹的显著因素;城市化水平、人口结构、产业结构、碳足迹转移状况、清洁能源比重、公共交通发展水平是影响碳足迹的重要因素;经济发展速度、居民消费水平对碳足迹的影响尚不显著。This paper used LARS to realize the Lasso process to get the weight of each factors choose from 12 possible factors and the normal Lasso estimation model. The results show that：the energy structure is the main reason for the formation of carbon footprint; population, economy of scale and energy intensity are significant factors influencing the carbon footprint; city level, population structure, industrial structure, the metastasis of carbon footprint, the proportion of clean energy and the public transportation development level is an important factor affecting the carbon footprint of the influence; the rate of economic development and the consumption level of residents is not significant.

关 键 词：碳足迹 影响因素分析 Lasso K折CV验证 

分 类 号：F062.2[经济管理—政治经济学]