Linkage analysis of sectoral CO2 emissions based on the hypothetical extraction method in South Africa

被引:75
作者
Zhao, Yuhuan [1 ,2 ]
Zhang, Zhonghua [1 ]
Wang, Song [1 ]
Zhang, Yongfeng [1 ]
Liu, Ya [1 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
关键词
Input-output model; CO2; emissions; Modified hypothetical extraction method; Carbon linkage; South Africa; INPUT-OUTPUT; KEY SECTORS; ENERGY; ECONOMY; CONSUMPTION; IMPACT;
D O I
10.1016/j.jclepro.2014.10.061
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As one of the top carbon emitters in Africa, South Africa has received tremendous pressure to reduce carbon emissions. Issues related to energy consumption and greenhouse gas emissions in South Africa have thus far been widely studied. However, the carbon linkage caused by the intermediate trade among industrial sectors has typically been ignored. This study integrates the environmental input-output model with modified hypothetical extraction method to investigate the carbon linkage among sectors. Based on the data of South Africa in 2005, this study empirically estimates the linkages of CO2 emissions involved in the industrial sectors and the carbon effects of inter-sector linkages. Results show that the total carbon linkage of industrial systems in South Africa in 2005 is 171.32 million tons (Mt), which accounts for 81.58 Mt total backward carbon linkage and 89.71 Mt total forward carbon linkage. The industrial block of electricity, gas, and water has the largest total carbon linkage and internal and net forward effect, and the block of basic metal, coke, and refined petroleum products has the largest net backward effect. The potential policy implications on energy consumption and reduction of CO2 emissions deduced from this numerical study are also discussed. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:916 / 924
页数:9
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