中国人口·资源与环境2011，Vol.21Issue(2)：141-146,6.DOI:10.3969/j.issn.1002-2104.2011.02.025
基于LMDI方法的中国国际贸易隐含碳分解
Using LMDI Method in Decomposition Analysis of Carbon Emissions Embodied in China's International Trade
摘要
Abstract
Recently much attention has been given to quantifying the environmental impacts of international trade and there is an increasing concern over the impacts of carbon dioxide transfer embodied within international trade. In this paper, the balance of carbon emissions embodied in China' s international trade for the year 2005 was calculated, and Logarithmic Mean Divisia Index (LMDI) was used in decomposition analysis of effect factors. The results show that production-based carbon emissions are much larger than consumption-based carbon emissions in China, and net transfer to China in terms of carbon emissions embodied within trade is 395.66 MtC. The contribution rate of intensity effect (the difference between total carbon emissions intensity of exports and that of imports) is 60％, the contribution rate of activity effect (trade surplus) is 55％, and the contribution rate of structure effect (the difference between structure of exports and that of imports) is-14％. According to results, high carbon emissions intensity and trade surplus of China are the major factors that affect carbon transfer to China, and intensity effect is more important than activity effect. It's worth noticing that structure effect is negative. Because most of China net exports belong to low carbon emissions intensity industries, however most of China net imports belong to high carbon emissions intensity industries, especially energy industries that have a close relationship with carbon emissions.[英文关鍵词international trade; carbon emissions embodied in trade; input-output model; LMDI关键词
国际贸易/贸易隐含碳/投入产出模型/对数平均D氏指数法分类
管理科学引用本文复制引用
王媛,魏本勇,方修琦,和夏冰,杨会民..基于LMDI方法的中国国际贸易隐含碳分解[J].中国人口·资源与环境,2011,21(2):141-146,6.基金项目
国家科技支撑计划专题(2007BAC03A11-09). （2007BAC03A11-09）
