气候变化研究进展 ›› 2023, Vol. 19 ›› Issue (5): 645-652.doi: 10.12006/j.issn.1673-1719.2023.063

• 温室气体排放 • 上一篇    下一篇

碳交易下控排行业基准值的设定框架研究

张春丽()   

  1. 上海财经大学,上海 200082
  • 收稿日期:2023-04-03 修回日期:2023-05-22 出版日期:2023-09-30 发布日期:2023-08-11
  • 作者简介:张春丽,女,博士研究生,zh_cl1124@163.com

Research on setting framework of carbon emissions control industry’s benchmarks under carbon emissions trading

ZHANG Chun-Li()   

  1. Shanghai University of Finance and Economics, Shanghai 200082, China
  • Received:2023-04-03 Revised:2023-05-22 Online:2023-09-30 Published:2023-08-11

摘要:

从碳交易市场配额分配相关制度中可知,我国目前主要采用基准值法分配配额。如何对行业设定基准值是应用该方法时面临的关键问题,然而目前关于基准值设定问题的研究较少且聚焦于对单个行业的分析。随着我国控排行业的增加,单独设定每个控排行业的基准值会忽视不同行业成本变动对整体行业经济的影响。基于此,文中提出在“全行业层面+单个行业层面”的研究框架下对基准值进行设定,一方面弥补了现行单个行业基准值设定方式对经济影响的忽视,另一方面保留了现行基准值设定方式的优势。结果表明,基础性行业的价格变动会对整体行业产生较大影响,因此往往需要对其设定较高的基准值。

关键词: 行业基准值, 碳交易, 投入产出局部闭价格模型, 非线性规划

Abstract:

From the relevant mechanism of quota allocation in the carbon trading market, we can see that China currently mainly uses the benchmark method to allocate quotas. How to set the benchmark value of the industry is the key problem in adopting this method. However, there is only limited research on the problem of setting benchmark value, which mainly focuses on the analysis of single industry. With the increasing number of carbon emissions control industries in China, setting the benchmark of each industry separately will ignore the impact of cost changes in different industries on the whole industry economy. Therefore, this paper proposes to set the benchmark under the research framework of “whole-industry+single-industry”, which compensates for the neglect of the economic impact of the present single industry benchmark and maintains the advantages of the present single industry benchmark. The results show that the price changes in the basic industries have a great impact on the whole industry, so that it is usually necessary to set higher benchmark values for these industries.

Key words: Industry benchmarks, Carbon emissions trading, Extended I-O price model, Non-linear programming

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