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基于投入产出技术的中国部门生产链平均能耗
  • 期刊名称:地理科学进展
  • 时间:0
  • 页码:919-925
  • 语言:中文
  • 分类:TK018[动力工程及工程热物理] F223[经济管理—国民经济]
  • 作者机构:[1]中国科学院地理科学与资源研究所,北京100101, [2]中国科学院数学与系统科学研究院,北京100190
  • 相关基金:国家科技攻关计划(2007BAC03A11-04);国家自然科学基金项目(60874119).
  • 相关项目:非线性投入占用产出技术及其在预测中的应用
中文摘要:

温室气体导致全球气候异常变化是全球目前的热点问题,而能源消耗排放的CO2成为首要的温室气体。为理解产业结构对我国能源消耗及其碳排放的影响机制,本文创建了一个基于投入产出技术的AECPC模型,提出了平均能耗的概念。该模型从节能效果直接且易于调控的角度反映了不同层次的生产环节对部门生产链能耗的影响,它综合了直接能耗和完全能耗两种方法的优点。通过该模型对中国2005年各产业部门的测算,找出了9条不同能源产品平均能耗最大的生产链,这些生产链主要集中在传统的高能耗部门,但也包含一些其他部门,如自来水的生产与供应业部门。AECPC模型为产业转型对碳排放的影响提供了有力的分析指导工具。

英文摘要:

The changes of global climate abnormality induced by greenhouse gases are the focuses of the world's attention, CO2 emissions induced by energy consumptions has been the major greenhouse gas during recent years. In order to show mechanism of industrial structure of Chinese energy consumption, we bring forward the concept of average energy consumption and construct an AECPC (Average Energy Consumptions of Production Chains) model based on input-output technique in this paper, which not only reflects direct energy consumption and indirect energy consumption of each sector, but also reflects the effect on energy consumption by different production links from the point of view of energy saving. By applying the model, the paper calculates twenty-nine sectors in Chinese national economy in 2005. The results show maximal average consumptions of production chains of nine kinds of energy production respectively. These production chains not only include known sectors which are high energy consumption, but also other sector, such as the production and supply of tap water sector. The AECPC model can help make industrial policy of Chinese industrial transformation impact on carbon emissions.

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