Accounting and structure decomposition analysis of embodied carbon trade: A global perspective

被引:68
作者
Deng, Guangyao [1 ]
Xu, Yan [2 ]
机构
[1] Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou 730020, Gansu, Peoples R China
[2] Henan Univ Econ & Law, Sch Finance, Zhengzhou 450002, Henan, Peoples R China
关键词
Embodied carbon trade; Structure decomposition analysis (SDA); Multi-regional input-output model (MRIO); INPUT-OUTPUT-ANALYSIS; INTERNATIONAL-TRADE; CO2; EMISSIONS; WATER FOOTPRINT; CHINA EXPORTS; ENERGY; MODEL; RESPONSIBILITY; REDUCTION; ECONOMY;
D O I
10.1016/j.energy.2017.07.064
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this paper, a multi-regional input-output-model is built to estimate the global embodied carbon trade from 1995 to 2009 based on the World Input-Output Database (WIOD). The method of structure decomposition analysis (SDA) is applied to quantify the changes in the scale and structure of embodied carbon trade in China, India, Japan, and the United States. According to the results, the top three countries with the most embodied carbon trade were: the United States, China and Japan in 1995, and the United States, China and India in 2009. In 1995 and 2009, the sectors which have the highest direct carbon emission coefficients and total carbon emission coefficients in China, India and the United States are electricity, gas and water supply sectors, while each country maintained a different coefficient. A decrease of direct carbon emission coefficient will result in a reduction of the imports and exports, as well as the self-consumption of embodied carbon. Therefore, it is suggested that countries should develop low-carbon industries, and reduce the carbon emissions per unit of output. In addition, those countries with higher carbon emission coefficients should consider of importing products to lower carbon emissions. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:140 / 151
页数:12
相关论文
共 28 条
[1]   Drivers in CO2 emissions variation: A decomposition analysis for 33 world countries [J].
Andreoni, Valeria ;
Galmarini, Stefano .
ENERGY, 2016, 103 :27-37
[2]   Carbon emissions embodied in international trade: The post-China era [J].
Arce, Guadalupe ;
Antonio Lopez, Luis ;
Guan, Dabo .
APPLIED ENERGY, 2016, 184 :1063-1072
[3]   Carbon footprint and emission determinants in Africa [J].
Asane-Otoo, Emmanuel .
ENERGY, 2015, 82 :426-435
[4]   An estimation of energy and GHG emission intensity caused by energy consumption in Korea: An energy IO approach [J].
Chung, Whan-Sam ;
Tohno, Susumu ;
Shim, Sang Yul .
APPLIED ENERGY, 2009, 86 (10) :1902-1914
[5]   Regional water footprint evaluation and trend analysis of China-based on interregional input- output model [J].
Deng, Guangyao ;
Ma, Yong ;
Li, Xia .
JOURNAL OF CLEANER PRODUCTION, 2016, 112 :4674-4682
[6]  
Dietzenbacher E., 1998, ECON SYST RES, V10, P307, DOI [DOI 10.1080/09535319800000023, 10.1080/09535319800000023]
[7]   Three accounts for regional carbon emissions from both fossil energy consumption and industrial process [J].
Dong, Huijuan ;
Geng, Yong ;
Fujita, Tsuyoshi ;
Jacques, David A. .
ENERGY, 2014, 67 :276-283
[8]   Analyzing the driving forces behind CO2 emissions and reduction strategies for energy-intensive sectors in Taiwan, 1996-2006 [J].
Huang, Yun-Hsun ;
Wu, Jung-Hua .
ENERGY, 2013, 57 :402-411
[9]   A Hybrid-Unit Energy Input-Output Model to Evaluate Embodied Energy and Life Cycle Emissions for China's Economy [J].
Lindner, Soeren ;
Guan, Dabo .
JOURNAL OF INDUSTRIAL ECOLOGY, 2014, 18 (02) :201-211
[10]   Reexamine SO2 emissions embodied in China's exports using multiregional input-output analysis [J].
Liu, Qiaoling ;
Wang, Qi .
ECOLOGICAL ECONOMICS, 2015, 113 :39-50