Cutting CO2 intensity targets of interprovincial emissions trading in China

被引:82
|
作者
Chang, Kai [1 ,2 ,3 ]
Chang, Hao [4 ]
机构
[1] Zhejiang Univ Finance & Econ, Sch Finance, Hangzhou 310038, Zhejiang, Peoples R China
[2] Zhejiang Univ Finance & Econ, China Acad Financial Res, Hangzhou 310038, Zhejiang, Peoples R China
[3] Ctr Res Regulat & Policy Zhejiang Prov, Hangzhou 310018, Zhejiang, Peoples R China
[4] Tianjin Polytech Univ, Sch Sci, Tianjin 300387, Peoples R China
基金
中国博士后科学基金;
关键词
Carbon emissions trading; Carbon intensity; Emission-reduction target allocation; Information entropy method; CARBON-DIOXIDE EMISSIONS; ENERGY EFFICIENCY; ALLOCATION; ENTROPY; IMPACTS; PERMITS; CONVERGENCE; PERFORMANCE; ABATEMENT; CLIMATE;
D O I
10.1016/j.apenergy.2015.10.146
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper proposes the allocation of CO2 emissions increment quotas and carbon intensity reduction burdens based on information entropy method. Allocating emissions increment quotas and cutting emissions intensity target should consider each province's objective weights of some valuable factors, such as carbon emissions reduction capacity, responsibility, potential and energy efficiency under interprovincial emissions trading system in China. Those provinces with better economic level, heavier cumulative CO2 emissions, stronger industrial carbon intensity and greater energy consumers may undertake greater shares of carbon intensity reduction targets during 2014-2020. All provinces in China may achieve a surprising reduction of CO2 emissions increment quotas during 2014-2020 with an increase of national emissions intensity reduction targets, and then have to increase greater burdens of emissions intensity reduction compared with the 2013 level. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:211 / 221
页数:11
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