4.8 Article

Cutting CO2 intensity targets of interprovincial emissions trading in China

Journal

APPLIED ENERGY
Volume 163, Issue -, Pages 211-221

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2015.10.146

Keywords

Carbon emissions trading; Carbon intensity; Emission-reduction target allocation; Information entropy method

Funding

  1. Research Planning Foundation on Humanities and Social Sciences of Ministry of Education of China [14YJC790007]
  2. Philosophy, Society and Science Planning of Zhejiang province [15NDJC123YB]
  3. Research Planning of China Statistical Science [2013LY125]
  4. Planning Project of Collaborative Innovation Center of Local Finance in Zhejiang University of Finance Economics
  5. China Postdoctoral Science Foundation [2014M560185]

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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.

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