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Prospects of industrial consumption embedded final emissions: a revision on Chinese household embodied industrial emissions

机译:工业消费嵌入式最终排放前景:中国家庭的修订体现了工业排放

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The final demand embedded emissions are mainly estimated by considering the intermediate industrial production. However, the industrial consumption embedded emissions are not well investigated. This study estimates both the industrial production and consumption embedded emissions of Chinese households. Our results indicate significant differences between household industrial production and consumption embedded emissions. These different patterns are due to the different set of emission multipliers, Leontief inverse vectors, and final pull effects employed in embedding the intermediate carbon consumption to final demand. "Electricity, Steam, Hot water production and supply" was the largest source of both urban and rural household's industrial production embedded emissions. The largest amount of urban household's industrial consumption embedded emissions was from 'Miscellaneous intangible products'; while, for rural households it was 'Food and Tobacco'. Shandong had the highest industrial embedded emissions from both approaches; however, the main sources of its embedded production and consumption emissions were different. This embedding of the intermediate industrial consumption emissions to household final demand provides new insights, for mitigating the household embedded carbon consumption. The uncertainty analysis indicated that sectors with bigger output values show higher uncertainty, and the input quantities of emission intensity and final demand were the main contributors to outcome uncertainties.
机译:最终需求嵌入式排放主要估计,通过考虑中级工业生产。但是,工业消费嵌入式排放并未得到很好的调查。本研究估计中国家庭的工业生产和消费嵌入式排放。我们的结果表明家庭工业生产和消费嵌入式排放之间的显着差异。这些不同的模式是由于不同一组发射倍增器,Leontief反向载体和用于将中间碳消耗嵌入最终需求的最终拉动效果。 “电力,蒸汽,热水生产和供应”是城乡家庭工业生产嵌入式排放的最大来源。最大的城市家庭工业消费嵌入式排放量来自“杂项无形产品”;而且,对于农村家庭来说,它是“食物和烟草”。山东有来自两种方法的工业嵌入式排放量最高;然而,其嵌入式生产和消费排放的主要来源是不同的。这种嵌入中级工业消费排放到家庭最终需求提供了新的见解,以减轻家庭嵌入式碳消耗。不确定性分析表明,具有较大输出值的扇区显示出更高的不确定性,发射强度和最终需求的输入数量是结果不确定性的主要贡献者。

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