日本碳排放脱钩效应及驱动因素研究——基于Tapio脱钩指标和LMDI分解模型  

Study on Decoupling Effect and Driving Factors of Carbon Emissions in Japan——Analysis based on Tapio decoupling and LMDI model

作　　者：周灿灿 Zhou Cancan(SINOPEC Economics&Development Research Institute Company Limited,Beijing 100029,China)

机构地区：[1]中国石化集团经济技术研究院有限公司,北京100029

出　　处：《当代石油石化》2023年第4期9-14,共6页Petroleum & Petrochemical Today

摘　　要：在全球加速推进低碳转型背景下,脱钩指标成为了衡量各国或地区低碳减排的主要工具。基于Tapio脱钩指标模型和对数平均迪氏指数法(LMDI)分解模型,研究日本1991—2020年碳排放与经济增长脱钩关系,并对影响碳排放的主要驱动因素进行分解。分析可得,30年间,日本逐渐从弱脱钩转向强脱钩;在影响日本碳排放脱钩因素中,能源结构调整是推动碳脱钩的最强驱动因素。With the acceleration of global low-carbon transition,the"decoupling"indicator has become the main tool to measure the carbon emission reduction.Based on Tapio decoupling model and LMDI decomposition model,this paper studies the decoupling relationship between Japan's carbon emissions and economic growth from 1991 to 2020,and analyzes the main driving factors affecting carbon emissions.Data analysis shows that Japan has gradually shifted from weak decoupling to strong decoupling in the past 30 years.Among the factors affecting the decoupling of Japan's carbon emissions,the adjustment of energy structure is the strongest driving factor to promote carbon decoupling.

关 键 词：碳脱钩 Tapio脱钩指标模型 对数平均迪氏指数法分解模型 驱动因素 

分 类 号：F131.3[经济管理—世界经济] X32[环境科学与工程—环境工程]