Evaluation and comparison of energy tax, resource tax and air pollution tax: an environmental-DSGE model

经济 环境税 税收政策 税制改革 碳排放税 财政政策 公共经济学 自然资源经济学 宏观经济学 气候变化 生态学 生物
作者
Bowen Xiao,Xiaodan Guo,Fangqiu Xu
出处
期刊:Journal of Environmental Planning and Management [Taylor & Francis]
卷期号:: 1-24
标识
DOI:10.1080/09640568.2023.2244670
摘要

AbstractHow governments choose green fiscal policies to achieve green transition is an urgent issue to be solved. In this context, an environmental-dynamic stochastic general equilibrium model is developed to analyze and compare the macroeconomic effects of fossil energy tax, natural resource tax and air pollution tax. The research shows that the supply-side policy, the natural resource tax, has a stronger impact on the economy than the other two demand-side policies, the fossil energy tax and air pollution tax. More importantly, supply-side policies are more effective than demand-side policies in two aspects: (1) all three policies can make up for the negative impact of tight fiscal policies on the economy, with supply-side policy offsetting the negative impact to a greater extent than demand-side policy; (2) all three policies can act as automatic stabilisers of the economy, with supply-side policy being more effective than demand-side policy in smoothing economic fluctuations.Keywords: fossil energy taxnatural resource taxair pollution taxenvironmental-DSGE modelpolicy evaluation and comparison Disclosure statementThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article.Supplemental dataSupplemental data for this article can be accessed online at https://doi.org/10.1080/09640568.2023.2244670Additional informationFundingThe authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (No. 72304063; No. 72204041); Humanities and Social Sciences Youth Foundation of Ministry of Education of China (No. 22YJC790143; No. 22YJC790035); Natural Science Foundation of Liaoning Province (No. 2023-BS-057). The authors appreciate the various comments from colleagues in the ZEW, Northeastern University and LLIG at Beihang University.
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