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Author:

Chi, Yuan-ying (Chi, Yuan-ying.) | Zhao, Hao (Zhao, Hao.) | Hu, Yu (Hu, Yu.) | Yuan, Yong-ke (Yuan, Yong-ke.) | Pang, Yue-xia (Pang, Yue-xia.)

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EI Scopus SCIE

Abstract:

Carbon emission trading (CET) is a major institutional innovation to limit carbon dioxide emissions, which has a significant effect and influence. There are two unpaid quota allocation methods in CET, benchmark-based Vs. grandfathering. It appears meaningful to examine which allocation method can make more profit and less emission with the implementation of electricity marketization reform. Defining the allocation of the initial quota is also one of the basic points of CET. Accordingly, this paper developed a system dynamics model with different scenarios to simulate and evaluate the allocation methods with different unpaid quotas in the context of electricity reform(EMR). The results show that the grandfathering method allocation can vitalize the CET market and reduce more carbon emissions per unit, which is better than the benchmark-based method in terms of revenue, profit, investment space, and power generation. Setting a 10% unpaid quota is a benefit for steady transition. In the long term, the market on-grid price gradually shows an advantage in efficiency and liquidity. © 2022 Elsevier Ltd

Keyword:

Investments Electric industry System theory Emission control Global warming Power markets Profitability Carbon dioxide

Author Community:

  • [ 1 ] [Chi, Yuan-ying]School of Economics and Management, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhao, Hao]School of Economics and Management, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Hu, Yu]School of Economics and Management, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Yuan, Yong-ke]School of Economics and Management, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Pang, Yue-xia]School of Economics and Management, Beijing University of Technology, Beijing; 100124, China

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Source :

Energy

ISSN: 0360-5442

Year: 2022

Volume: 259

9 . 0

JCR@2022

9 . 0 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:49

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 12

SCOPUS Cited Count: 48

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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