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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Energyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Energy
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Regional impacts of launching national carbon emissions trading market: A case study of Shanghai

Authors: Zhiqing Liu; Hancheng Dai; Jeffrey Wilson; Yang Xie; Yang Xie; Zhongjue Yu; Yong Geng; +2 Authors

Regional impacts of launching national carbon emissions trading market: A case study of Shanghai

Abstract

Abstract This study investigates the impacts of launching a national carbon trade market through the IMED|CGE (Integrated Model of Energy, Environment and Economy for Sustainable Development|Computable General Equilibrium) model, between Shanghai and the Rest of China (ROC). Five scenarios are established by considering China’s Nationally Determined Contributions (NDC) targets, including a baseline scenario (BaU scenario), a carbon cap on ETS participating sectors scenario (CAPsec scenario), a carbon cap on Shanghai and ROC regions scenario (CAPreg scenario), a carbon cap scenario with local carbon emissions trading among ETS participating sectors (ETsec scenario) and a carbon cap scenario with inter-regional carbon emissions trading (ETreg scenario). The results under the ETreg scenario predict a carbon price of 164.64 USD/tCO2 and a total carbon trade volume of 189.91 Mt by 2030. The metal smelting sector will be the largest seller of emissions quotas in Shanghai, whereas the power generation sector will be the largest buyer. Due to its higher carbon mitigation cost and increasing autonomous carbon intensity, the aviation sector will face more challenges to reduce emissions among ETS participating sectors in Shanghai. The results indicate that launching a national carbon trade market could generate both economic and environmental benefits and help China achieve its NDC targets.

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    55
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Top 1%
Top 10%
Top 10%