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Sensitivity analysis of China’s energy-related CO 2 emissions intensity for 2012 based on input–output Model

机译:中国能源相关CO 2 2012的排放强度基于输入输出模型的敏感性分析

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This paper employed a sensitivity analysis based on the input-output model to identify the key sectors and main productive linkages between activity branches in terms of CO 2 emissions in China. In particular, we established the Chinese energy-input-output table for 2012. Based on the input-output data, sensitivity analysis, is introduced to probe into two major drivers, i.e., the emissions intensity coefficient ( c ) and technology coefficient ( B ). The results show that (1) Regarding the driver c, the top six emissions-intensity sectors are tested to be the key sectors which will cause the highest emissions. (2) For B , the emissions intensity is the most sensitive to the technology change of the Production and supply of electric power and heat industry (n4) with direction transaction relation. (3) With respect to the values of two elasticity indicators for B , these sectors with a higher “structure-relevant” have a lower “technology-relevant”. This implied that the technology coefficient has more influence on the CO 2 emission intensity of n4 after considering the structural impact of final demand. Emphatically, the analytical method used in this study can provide valuable information for planners and decision makers to formulate feasible and practical industrial policies with implications for CO 2 emissions.
机译:本文采用了基于输入 - 输出模型的灵敏度分析,以确定中国二氧化碳排放的活动分支机构之间的关键部门和主要生产联系。特别是,我们建立了2012年的中国能量输入输出表。基于输入输出数据,引入探测到两个主要驱动器,即排放强度系数(C)和技术系数(B )。结果表明,关于驱动器C的(1),测试前六个排放强度扇区是将导致排放最高的关键部门。 (2)对于B,排放强度是对生产和供应电力和热工业(N4)的技术变化最敏感的具有方向交易关系。 (3)关于B的两个弹性指示器的值,这些具有较高“结构相关”的扇区具有较低的“技术相关”。这意味着在考虑到最终需求的结构影响之后,技术系数对N4的CO 2发射强度产生更多影响。着色地,本研究中使用的分析方法可以为规划者和决策者提供有价值的信息,以制定可行和实际的工业政策,并具有对二氧化碳排放的影响。

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