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REGIOANL-SCALE DECOMPOSITION ANALYSIS OF CO_2 EMISSIONS OF THE MANUFACTURING INDUSTRY IN JAPAN

机译:日本制造业CO_2排放量的区域规模分解分析

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This study explains factors of historical changes in CO_2 emission reduction of the Japanese manufacturing industryand its sectors at the prefectural level. We decomposed the change of CO_2 emissions in 47 prefectures from 1990 to2013 into four factors (carbon intensity, energy intensity, structure, and activity effects) using the logarithmic meanDivisia index method. We found that that energy intensity, structure, and activity effects were more influential inchanges of emissions than the carbon intensity effect, although the most influential factor varied by prefecture. Amongeight industrial sectors in the manufacturing industry, the chemistry and metal sectors were particularly remarkable inthe changes. Thus, improvements in energy intensity and production in these two sectors should be prioritized. Wealso conducted detailed analysis of the decomposed factors in three selected prefectures based on cluster analysis.
机译:这项研究解释了日本制造业CO_2排放量减少的历史变化因素 以及县一级的部门。我们分解了1990年至47年间47个州的CO_2排放量变化 使用对数均值将2013年分为四个因素(碳强度,能量强度,结构和活性影响) Divisia指数法。我们发现,能量强度,结构和活动影响在以下方面更具影响力 排放的变化要比碳强度的影响大,尽管最有影响力的因素因州而异。之中 在制造业的八个工业部门中,化学和金属部门在 变化。因此,应优先考虑在这两个部门中提高能源强度和生产。我们 还基于聚类分析对三个选定州的分解因子进行了详细分析。

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