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作 者:丰霞 智瑞芝[2] 董雪旺 FENG Xia;ZHI Ruizhi;DONG Xuewang(School of Economics, Shanghai University, Shanghai 200444, China;School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou Zhejiang 310018, China;School of Tourism and Urban-Rural Planning, Zhejiang Gongshang University, Hangzhou Zhejiang 310018, China;Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
机构地区:[1]上海大学经济学院,上海200444 [2]浙江理工大学经济管理学院,浙江杭州310018 [3]浙江工商大学旅游与城乡规划学院,浙江杭州310018 [4]中国科学院地理科学与资源研究所,北京100101
出 处:《生态经济》2018年第3期23-30,共8页Ecological Economy
基 金:教育部人文社会科学研究青年项目“生态文明视阈下居民低碳消费意愿测度研究”(14YJCZH022);中国博士后科学基金项目“中国居民消费的碳足迹估算及低碳消费模式研究”(2015M571103);浙江省社科联研究课题“浙江省居民消费碳足迹测度及责任分担研究”(2013N077)
摘 要:运用投入产出法构建居民消费碳足迹测算模型,结合浙江2002-2012年各行业相关数据,估算居民消费的直接和间接碳足迹。并基于LMDI法构建居民消费间接碳足迹(CFe)影响因素分解模型,考察人口规模、经济发展水平、消费水平、消费结构、能源消费强度、能源碳排放强度六种效应对CFe总量效应的影响。研究显示:城镇居民消费间接碳足迹是浙江省着重减排对象,经济发展水平效应是驱动CFe增长的主要原因,能源消费强度效应是抑制CFe增长的主要因素,居民消费结构优化对CFe增长也起一定延缓作用。This paper uses input-output method, building a carbon footprint model, combined with relevant panel data from 2002 to 2012 in Zhejiang, to estimate the direct and indirect carbon footprint. Based on LMDI, the impact factor decomposition model of residential consumption indirect carbon footprint was constructed to analyze the population scale, economic development level, consumption level and structure, energy consumption intensity and energy carbon emission intensity effect on the total effect of indirect carbon footprint of Zhejiang residents from 2002 to 2012. The results show that: Zhejiang should focus on reducing the emission of residential consumption indirect carbon footprint (CFe) of urban residents. Economic development level effect greatly drives forward the increase of CFe, and energy consumption intensity effect mainly inhibits the growth of CFe, while the optimization of resident consumption structure can also play a certain role in delaying the growth of CFe.
分 类 号:F062.2[经济管理—政治经济学]
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