模型简介
中国混合能源经济研究模型(China Hybrid Energy Economic Research model,简称CHEER模型),由清华大学环境学院王灿教授团队和地球系统科学系蔡闻佳研究员团队领衔开发,服务于碳达峰碳中和背景中国中长期低碳战略规划与经济、社会和环境多维度影响评估的需求。CHEER系列模型以可计算一般均衡模型为核心,模拟宏观经济运行机制及该过程中的产业更迭、技术更新和相关能源消费与温室气体排放。针对不同研究领域和尺度,CHEER模型有多个拓展版本,可以应用于国家、区域和行业等多尺度的双碳战略规划与影响评估。CHEER模型团队关注的研究领域包括:低碳政策、低碳技术、行业减排、空气质量、公众健康、收入公平、土地利用等,相关研究已在the Lancet Planetary Health, Applied Energy, Renewable and Sustainable Energy Review等高水平期刊发表SCI10余篇,并服务于多个国家、地方和企业碳中和咨询项目。
关于我们
CHEER模型是在国家自然科学基金委员会和科技部重点研发计划等共同支持下,由清华大学环境学院王灿教授团队和地球系统科学系蔡闻佳研究员团队领衔开发的多区域尺度、交叉领域的可计算一般均衡模型及其拓展模型体系,能够支撑碳中和愿景下低碳政策的多区域、多行业的经济、社会和环境多维度影响评估,并为学术研究和政策应用提供免费的模型与数据共享下载。
最新成果
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Zhao Y, Wang C, Cai W. Carbon Pricing Policy, Revenue Recycling
Schemes, and Income Inequality: A multi-regional dynamic CGE assessment
for China [J]. Resource Conservation & Recycling[J], 2022, 181: 106246.
https://www.sciencedirect.com/science/article/pii/S0921344922000945 -
Zhang
S, An K, Li J, Weng Y, Zhang S, Wang S, Cai W, Wang C, & Gong P.
Incorporating health co-benefits into technology pathways to achieve
China’s 2060 carbon neutrality goal: A modelling study. The Lancet
Planetary Health[J], 2021, 5(11), e808–e817.
https://www.thelancet.com/journals/lanplh/article/PIIS2542-5196(21)00252-7/fulltext -
Weng
Y, Cai W, Wang C. Evaluating the use of BECCS and afforestation under
China’s carbon-neutral target for 2060[J]. Applied Energy, 2021, 299:
117263.
https://www.sciencedirect.com/science/article/pii/S0306261921006826 -
An
K, Zhang S, Huang H, Liu Y, Cai W,& Wang C. Socioeconomic impacts
of household participation in emission trading scheme: A Computable
General Equilibrium-based case study[J]. Applied Energy, 2021, 288:
116647.
https://www.sciencedirect.com/science/article/pii/S030626192100180X -
Wang
C, Huang H, Cai W. Zhao M, L i J, Zhang S,& Liu Y. Economic impacts
of climate change and air pollution in china through health and labor
supply perspective: an integrated assessment model analysis[J]. Climate
Change Economics, 2020, 11(03): 2041001.
https://www.worldscientific.com/doi/10.1142/S2010007820410018