Haijun Wang, Lingchunzi Li*, Jiaxuan Sun, Minghao Shen. Carbon emissions abatement with duopoly generators and eco-conscious consumers: Carbon tax vs. carbon allowance

发布时间：2023-12-30 点击次数：

• 影响因子：7.9
• DOI码：10.1016/j.eap.2023.09.022
• 发表刊物：Economic Analysis and Policy
• 项目来源：国家自然科学基金面上项目（No.72071091）
• 关键字：Carbon emissions; Emission abatement; Eco-conscious consumers; Electricity markets; Game theory
• 摘要：With electrification and economic development, global carbon emissions are rising every year. Among them, the power industry accounted for the highest proportion of carbon emissions. To combat climate change, environmental pollution and economic losses caused by greenhouse effect, governments implement low-carbon policies in the electricity market. Considering the impact of generators' carbon emissions on consumers behaviors and environmental benefit, this paper compares two main emission reduction policies — carbon tax and carbon allowance in a market with two asymmetric generators and a group of heterogeneous eco-conscious consumers. Despite the widespread belief that environmental advocacy hurts economic performance and social welfare, we find that both policies improve social welfare due to price increases or production restrictions. And when neither generator has a significant cost advantage, the social welfare under carbon allowance is higher than that under carbon tax, and the total carbon emissions are lower. This is because the carbon tax indirectly regulates generators' output and total welfare by affecting prices. While carbon allowance can directly regulate generators' output through capacity limits, and further improve the total social welfare. Through numerical analysis, the optimal emission reduction strategies of the government under different conditions are determined. We also extend the main model and show that the key results are still valid.
• 论文类型：期刊论文
• 学科门类：经济学
• 文献类型：J
• 卷号：80:
• 页面范围：786-804
• ISSN号：0313-5926
• 是否译文：否
• 发表时间：2023-12-30
• 收录刊物：SSCI
• 发布期刊链接：https://www.sciencedirect.com/science/article/pii/S0313592623002291