Cutting CO2 intensity targets of interprovincial emissions trading in China
Cutting CO2 intensity targets of interprovincial emissions trading in China
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DOI：
10.1016/j.apenergy.2015.10.146
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发表时间：
2016-02-01
期刊：
影响因子：
11.2
通讯作者：
Chang, Hao
中科院分区：
文献类型：
--
作者：
Chang, Kai;Chang, Hao
提出了基于信息熵的CO2排放增量配额分配和碳强度削减负担分配方法。在中国省际碳排放交易制度下，分配碳增量配额和削减排放强度目标应考虑各省碳减排能力、责任、潜力和能源效率等有价值因素的客观权重。经济水平较好、CO2累计排放量较大、工业碳强度较强、能源消费量较大的省份，可承担2014-2020年碳强度降低目标的较大份额。2014-2020年，随着国家碳排放强度削减目标的提高，中国各省份的碳排放增量配额可能会有较大幅度的削减，但与2013年相比，各省份的碳排放强度削减负担将进一步加重。(C)2015爱思唯尔有限公司版权所有。
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.