首页|氮氧化物税率优化及其经济影响——基于大气自净能力视角

氮氧化物税率优化及其经济影响——基于大气自净能力视角

Optimization of NOx tax and its economic impact-based on the perspective of self-cleaning capacity of the atmosphere

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氮氧化物税率高低对相关产业的生产积极性和生态环境保护成果具有重要影响,大气具备的自我修复和净化能力可以减轻企业的减排压力和税负,为量化大气自净能力并构建一个相关动态税率优化的CGE模型,以模拟和优化不同大气自净能力情境下的氮氧化物税率设定.经研究表明,在充分利用大气自净能力的前提下,内蒙古地区的氮氧化物税率优化结果如下:2021年为8.36元/污染当量,2022-2025年为7.691 2元/污染当量,2026-2030年为7.383 6元/污染当量.此外,税率优化对出口产生较大影响,但同时能提升投资,对GDP的综合影响不大.因此,应适当提高内蒙古地区的氮氧化物税率,并构建动态的税率调节机制.
The level of nitrogen oxide tax rate has an important impact on the production enthusiasm of related industries and the results of ecological environmental protection.However,the self-repair and purification ability of the atmosphere can reduce the pressure of emission reduction and tax burden of enterprises.Therefore,the purpose of this study is to quantify the atmospheric self-cleaning capacity and construct a CGE model of relevant dynamic tax rate optimization,so as to simulate and optimize the nitrogen oxide tax rate setting under different atmospheric self-cleaning capacity scenarios.According to the research,on the premise of making full use of atmospheric self-purification capacity,the optimization results of nitrogen oxide tax rate in Inner Mongolia are as follows:8.36 yuan/pollution equivalent in 2021,7.691 2 yuan/pollution equivalent in 2022 to 2025,and 7.383 6 yuan/pollution equivalent in 2026 to 2030.In addition,tax rate optimization has a great impact on exports,but at the same time can increase investment,and the comprehensive impact on GDP is not big.Therefore,the nitrogen oxide tax rate in Inner Mongolia should be raised appropriately,and a dynamic tax rate regulation mechanism should be established.

nitrogen oxide tax optimizationatmospheric self-purification capacityInner MongoliaCGE model

杨新吉勒图、屈子杰、韩炜宏、杨艳丽

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内蒙古工业大学 经济管理学院,呼和浩特 010051

氮氧化物税率优化 大气自净能力 内蒙古 CGE模型

教育部人文社会科学研究规划基金内蒙古自治区自然科学基金内蒙古自治区自然科学基金

19YJA7900232020LH070012020LH07002

2024

内蒙古工业大学学报(自然科学版)
内蒙古工业大学

内蒙古工业大学学报(自然科学版)

影响因子:0.176
ISSN:1001-5167
年,卷(期):2024.43(2)
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