Allocation of carbon dioxide emission quotas based on the energy-economy-environment perspective: Evidence from Guangdong Province

Fei Ye, Xianlu Fang, Lixu Li*, Yina Li, Ching Ter Chang

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

42 Scopus citations

Abstract

As one of the most important environmental control mechanisms in China, the Emissions Trading Scheme (ETS) is set to alleviate the contradictions among the energy-economy-environment (3E) system and achieve the sustainable development goals (SDGs), while any such scheme requires an initial allocation of carbon dioxide emission quotas. However, the current allocation method dominated by the grandfathering approach does not reflect this original intention well. Integrating the 3E goals with the quota allocation issue, this paper established a dual-objective programming model that considered both the economic and energy goals, while the environmental goal was reflected in constraints. Evidence from Guangdong Province revealed that the 3E approach was superior to the grandfathering approach in some respects. When the weight given to the energy goal was within a certain interval, the 3E approach could simultaneously optimize the total abatement cost and emission efficiency, which not only reflected the “polluter pays” principle but also avoided the possibility of windfall profits from the redundant quota. In other cases, the 3E approach could unilaterally improve the energy or economic goal to reflect decision preferences. Finally, the findings of this paper have important implications for policy makers seeking to develop new regulations for the national ETS.

Original languageEnglish
Pages (from-to)657-667
Number of pages11
JournalScience of the Total Environment
Volume669
DOIs
StatePublished - 15 06 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier B.V.

Keywords

  • Carbon dioxide emission quotas
  • Dual-objective programming model
  • Emissions trading scheme
  • Energy-economy-environment system

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