| Issue |
E3S Web Conf.
Volume 358, 2022
5th International Conference on Green Energy and Sustainable Development (GESD 2022)
|
|
|---|---|---|
| Article Number | 02012 | |
| Number of page(s) | 4 | |
| Section | Regular Contributions | |
| DOI | https://doi.org/10.1051/e3sconf/202235802012 | |
| Published online | 27 October 2022 | |
Research on Carbon Emission Market Pricing Based on Putty-Clay Vintage Model
School of North China Electric Power University, Beijing, China
* Corresponding author: zhangkailin_dut@foxmail.com
With the rapid development of economy, the ecological environment problem of global warming is becoming increasingly serious. In order to effectively implement carbon emission reduction, countries have successively established carbon tax system or carbon emission trading market. China has established carbon emissions trading market in seven pilot provinces since 2013, and plans to implement the national carbon emissions trading market in the ‘14th Five-Year’ period. In this process, how to price ‘carbon’ is the primary problem of China’s carbon trading market construction. This paper first reviews the current development status of carbon emissions pricing in China’s carbon trading pilot, and then analyzes the theoretical basis and price formation mechanism of carbon emissions trading pricing in the current carbon trading market, and then puts forward the carbon emissions pricing model based on Putty-Clay Vintage model, and puts forward reasonable policy suggestions for improving the current carbon pricing strategy in China.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.