Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities

被引:236
作者
Su, Bin [1 ]
Ang, B. W. [2 ]
机构
[1] Natl Univ Singapore, Energy Studies Inst, Singapore, Singapore
[2] Natl Univ Singapore, Dept Ind & Syst Engn, Singapore, Singapore
基金
中国国家自然科学基金;
关键词
Aggregate embodied intensity; Input output analysis; Structural decomposition analysis; Energy consumption; Carbon emissions; China; INPUT-OUTPUT-ANALYSIS; GENERALIZED FISHER INDEX; CHINA CARBON EMISSIONS; CO2; EMISSIONS; HOUSEHOLD CONSUMPTION; DRIVING FORCES; TRADE; EXPORTS; IMPACT; ATTRIBUTION;
D O I
10.1016/j.eneco.2017.05.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Aggregate intensity indicators, such as the ratio of a country's energy and emissions to its GDP, are often used by researchers and policymakers to study energy and environmental performance. This paper analyzes the relationship between energy (or emissions) and value added (or GDP) from a different viewpoint, namely from the demand rather than the production perspective, using the input-output (I-O) framework. The aggregate embodied intensity (AEI), defined as the ratio of embodied energy (or emissions) to embodied value added, can be defined at the aggregate, final demand category and sectoral levels. The total aggregate intensity can be presented as a weighted sum of the AEIs at the final demand category or sectoral level. Changes of the AEI at different levels can be decomposed to identify the driving forces using multiplicative SDA. A study using the latest 2007 and 2012 datasets of China indicates that (a) its aggregate intensity of CO2 emissions was mainly determined by the AEI in investment and (b) the emission intensity effect generally contributed the most to the AEI ratio changes at different levels. The proposed framework can be applied to other aggregate intensity indicators and extended to multi-country/region analysis. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:137 / 147
页数:11
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