具身认知
经济
发射强度
投入产出模型
航程(航空)
最终需求
计量经济学
自然资源经济学
生产(经济)
微观经济学
宏观经济学
工程类
计算机科学
航空航天工程
人工智能
电气工程
激发
作者
Bin Su,B.W. Ang,Ya-Fang Sun
标识
DOI:10.1016/j.eneco.2022.105875
摘要
Input-output (I-O) analysis has been widely used in embodied emission studies. For country-level analysis, the non-competitive imports assumption is generally preferred. However, national I-O tables with the non-competitive imports assumption are often not available. In empirical studies, the uniform imports share approach is usually adopted to give the estimated tables from the I-O tables with the competitive imports assumption. When data are available for two different years, structural decomposition analysis (SDA) can be applied to study the drivers of the embodied emission changes. We propose a SDA framework with two imports effects, i.e. input imports effect and demand imports effect, to evaluate the impacts of imports data treatment on the drivers. An empirical study using China's latest I-O datasets, for 2017 and 2018, show that the impacts are not significant at the national level but are significant at the sectoral level. For the latter, the impacts on sectoral embodied emission intensity range from −5% to 16%, while on sectoral embodied emissions range from −8% to 35%. Sectoral aggregate embodied intensity (AEI) indicators are found to be more robust to the imports data treatments than sectoral embodied emission intensity. In some cases a change in the sign of the input imports effect or demand imports effect is observed, which leads to opposite outcomes. Implications of the findings on embodied emission studies and the role of imports are discussed.
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