How to auction carbon emission allowances?A dynamic simulation analysis of spatiotemporal heterogeneity

作     者：Xianyu YU Luxi XU Dequn ZHOU Qunwei WANG Xiuzhi SANG Xinhuan HUANG Xianyu YU;Luxi XU;Dequn ZHOU;Qunwei WANG;Xiuzhi SANG;Xinhuan HUANG

作者机构：College of Economics and ManagementNanjing University of Aeronautics and AstronauticsNanjing 211106China Research Centre for Soft Energy ScienceNanjing University of Aeronautics and AstronauticsNanjing 211106China SchoolofEconomicsFujianNormalUniversityFuzhou350117China 

出 版 物：《Frontiers of Engineering Management》 (工程管理前沿（英文版）)

年 卷 期：2024年第11卷第3期

页      面：430-454页

核心收录：

学科分类：13[艺术学] 1301[艺术学-艺术学理论] 

基　　金：supported by the National Social Science Foundation of China(Grant No.22FGLB029) the National Nature Science Foundation of China(Grant Nos.72274094,72371129,71834003) Project of the Ministry of Education of China(Grant No.202200337) the Fundamental Research Funds for the Central Universities(Grant Nos.NR2021002 and NS2022074) 

主　　题：carbon allowances carbon allowance auctions carbon emissions trading Renewable Portfolio Standard system dynamics 

摘      要：There is notable variability in carbon emission reduction efforts across different provinces in China,underscoring the need for effective strategies to implement carbon emission allowance *** auctions,as opposed to free allocations,could be more aligned with the principle of“polluter pays.Focusing on three diverse regions—Ningxia,Beijing,and Zhejiang—this study employs a system dynamics simulation model to explore markets for carbon emissions and green certificates *** aim is to determine the optimal timing and appropriate policy intensities for auction *** findings include:(1)Optimal auction strategies differ among the provinces,recommending immediate implementation in Beijing,followed by Ningxia and Zhejiang.(2)In Ningxia,there’s a potential for a 6.20%increase in GDP alongside a 21.59%reduction in carbon emissions,suggesting a feasible harmony between environmental and economic objectives.(3)Market-related policy variables,such as total carbon allowances and Renewable Portfolio Standards,significantly influence the optimal auction strategies but have minimal effect on carbon auction prices.