Quantitative models in emission trading system research: A literature review

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

卷:132

Review

Tang, Ling¹  Wang, Haohan¹  Li, Ling²  Yang, Kaitong¹  Mi, Zhifu³ 

[1] Beijing Univ Chem Technol, Sch Econ & Management, Beijing 100029, Peoples R China

[2] Capital Univ Econ & Business, Int Sch Econ & Management, Beijing 100070, Peoples R China

[3] UCL, Bartlett Sch Construct & Project Management, London WC1E 7HB, England

关键词: Carbon cap-and-trade;    Carbon markets;    Allowance allocation;    Measuring, reporting and verification;    Computable general equilibrium model;    Data envelopment analysis;   

DOI  :  10.1016/j.rser.2020.110052

来源: Elsevier

【 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%).

【 授权许可】

Free