论文标题：Quantitative models in emission trading system research: A literature review

　　发表时间：2020.7接收

　　论文所有作者：Ling Tang, Haohan Wang, Ling Li, Kaitong Yang, Zhifu Mi

　　期刊名及所属分类：Renewable & Sustainable Energy Reviews(国际SSCI or SCI)

　　英文摘要：Diverse quantitative models have been applied to analyse emission trading system, as the top effective climate change policy. This paper aims to present a comprehensive literature review on full-scale types of quantitative models in emission trading system research. The models dominating emission trading system-related literature can be categorized as optimization models, simulation models, assessment models, statistical models, artificial intelligences and ensemble models. Using different quantification and solution tools, these models complemented and enriched each other in serving the various agents involved in emission trading system and facilitating their respective emission trading system related works: the government to design emission trading system policies, enterprises to participate in emission trading system and goods markets, third parties to regulate emission trading system and emission trading system markets involving different agents. For each agent, a systematic analysis is provided on research hotspots (the challenges to address), quantitative models (to describe the problems and find the results), main findings (the policy implications from the models) and future research (potential improvements on existing models). Some conclusions are obtained. (1) Generally, China was the largest contributor to emission trading system research using quantitative models (representing 35.71% of the total articles). (2) The research hotspots were decision making by enterprises under an emission trading system (20.92%), spillovers amongst emission trading system and other markets (17.54%) and allowance allocation by the government (12.52%). (3) Popular quantitative models included various optimization models (32.00%) and simulation models (29.64%).

　　中文摘要：作为最有效的气候变化政策之一，排放权交易制度已被运用多种定量模型进行分析。本文旨在对排放权交易系统研究中的全尺度定量模型进行全面的文献综述。碳排放交易系统的相关模型主要有优化模型、仿真模型、评估模型、统计模型、人工智能模型和集成模型。使用不同的量化和解决方案的工具,这些模型相互补充和丰富服务的各种代理参与排放贸易体系和促进各自排放贸易体系相关工作:政府设计排放贸易体系政策,企业参与排放贸易体系和商品市场,第三方调节排放交易系统和排放交易系统市场涉及不同的代理。针对每个主体，对研究热点(需要解决的挑战)、定量模型(描述问题并发现结果)、主要发现(模型的政策含义)和未来研究(现有模型的潜在改进)进行了系统的分析。得到了一些结论。(1)总体而言，中国是排放量交易体系定量模型研究的最大贡献者(占论文总数的35.71%)。(2)排污权交易制度下的企业决策(20.92%)、排污权交易制度与其他市场的溢出效应(17.54%)和政府的配额分配(12.52%)是排污权交易制度下的研究热点。(3)流行的定量模型包括各种优化模型(32.00%)和仿真型号 （29.64%）.