4.7 Article

Manipulation via endowments: Quantifying the influence of market power on the emission trading scheme

期刊

ENERGY ECONOMICS
卷 103, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.eneco.2021.105533

关键词

Emission; Allowance market; Market power; Strategic behavior; Noncooperative game

资金

  1. National Natural Science Foundation of China [71603256, 71673019, 71273253, 71210005, 72021001]
  2. Jiangsu Planned Projects for Postdoctoral Research Funds, China [1601086C]
  3. Fundamental Research Funds for the Central Universities, China [2021YCPY0112]
  4. Jiangsu Key Laboratory of Coal-based Greenhouse Gas Control and Utilization, China [2020KF02]

向作者/读者索取更多资源

The study introduces a two-stage game to analyze strategic behaviors among participants in an emissions trading scheme, showing the existence and characteristics of a stable Cournot-Nash-Walras equilibrium. This provides an alternative approach to analyzing market power in ETS markets.
We introduce a two-stage game to analyze the strategic behaviors among participants in an emissions trading scheme (ETS). The classical Hahn-Westskog model predicts market performance only when there is at most one dominant agent in the ETS. Our model assumes that all noncooperative agents can influence the market through the manipulation via endowments (MvE) (i.e., initial allowances), and then coordinate the allowances trading to share the associated compliance costs. We show the existence and characteristics of the Cournot-Nash-Walras (CNW) equilibrium and numerically simulate regional allowance trading in China based on the MvE model. Our theoretical and quantitative analyses show promising properties of the proposed model, which can be considered as an alternative approach to analyzing the market power in an ETS market. The MvE model predicts a stable CNW equilibrium independent of the set of strategic players when the strategic behavior of allowance sellers and buyers are considered.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据