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

  • K. An et al., “Repositioning coal power to accelerate net-zero transition of China’s power system,” Nat Commun, vol. 16, no. 1, p. 2311, Mar. 2025, doi: 10.1038/s41467-025-57559-2.
  • M. Li, S. Pelz, R. Lamboll, C. Wang, and J. Rogelj, “A principle-based framework to determine countries’ fair warming contributions to the Paris Agreement,” Nat Commun, vol. 16, no. 1, p. 1043, Jan. 2025, doi: 10.1038/s41467-025-56397-6.
  • K. An, W. Cai, X. Lu, and C. Wang, “High-resolution gridded dataset of China’s offshore wind potential and costs under technical change,” Sci Data, vol. 12, no. 1, p. 69, Jan. 2025, doi: 10.1038/s41597-025-04428-8.
  • X. Dong, C. Wang, F. Zhang, H. Zhang, and C. Xia, “China’s low-carbon policy intensity dataset from national- to prefecture-level over 2007–2022,” Sci Data, vol. 11, no. 1, p. 213, Feb. 2024, doi: 10.1038/s41597-024-03033-5.
  • C. Xia et al., “Outsourced carbon mitigation efforts of Chinese cities from 2012 to 2017,” Nat Cities, vol. 1, no. 7, pp. 480–488, Jun. 2024, doi: 10.1038/s44284-024-00088-8.
  • S. Fan and C. Wang, “Transition finance facilitates lower-cost achievement of climate targets: A case study of China,” Structural Change and Economic Dynamics, vol. 71, pp. 617–629, Dec. 2024, doi: 10.1016/j.strueco.2024.09.009.
  • S. Fan, K. An, S. Zhang, and C. Wang, “Cost-effective energy development pathway considering air quality co-benefits under climate target: A case study of Anhui Province in China,” Applied Energy, vol. 353, p. 122039, Jan. 2024, doi: 10.1016/j.apenergy.2023.122039.
  • H. Jiang, J. Wang, S. Yu, X. Zheng, and C. Wang, “Exploring global carbon market link mechanism: Efficiency evaluation in the context of carbon neutrality,” Journal of Cleaner Production, vol. 420, p. 138474, Sep. 2023, doi: 10.1016/j.jclepro.2023.138474.
  • S. Chen and C. Wang, “Impacts of the population ageing on the effects of the nationwide emission trading scheme in China,” Science of The Total Environment, vol. 887, p. 164127, Aug. 2023, doi: 10.1016/j.scitotenv.2023.164127.
  • S. Chen and C. Wang, “Distributional employment impacts of the nationwide emission trading scheme in China,” Journal of Environmental Management, vol. 334, p. 117526, May 2023, doi: 10.1016/j.jenvman.2023.117526.
  • K. An, S. Zhang, J. Zhou, and C. Wang, “How can computable general equilibrium models serve low-carbon policy? A systematic review,” Environ. Res. Lett., vol. 18, no. 3, p. 033002, Mar. 2023, doi: 10.1088/1748-9326/acbbe2.
  • K. An, C. Wang, and W. Cai, “Low-carbon technology diffusion and economic growth of China: an evolutionary general equilibrium framework,” Structural Change and Economic Dynamics, vol. 65, pp. 253–263, Jun. 2023, doi: 10.1016/j.strueco.2023.03.001.
  • Y. Zhao, C. Wang, and W. Cai, “Carbon pricing policy, revenue recycling schemes, and income inequality: A multi-regional dynamic CGE assessment for China,” Resources, Conservation and Recycling, vol. 181, p. 106246, Jun. 2022, doi: 10.1016/j.resconrec.2022.106246.
  • S. Zhang et al., “Incorporating health co-benefits into technology pathways to achieve China’s 2060 carbon neutrality goal: a modelling study,” The Lancet Planetary Health, vol. 5, no. 11, pp. e808–e817, Nov. 2021, doi: 10.1016/S2542-5196(21)00252-7.
  • Y. Weng, W. Cai, and C. Wang, “Evaluating the use of BECCS and afforestation under China’s carbon-neutral target for 2060,” Applied Energy, vol. 299, p. 117263, Oct. 2021, doi: 10.1016/j.apenergy.2021.117263.
  • K. An, S. Zhang, H. Huang, Y. Liu, W. Cai, and C. Wang, “Socioeconomic impacts of household participation in emission trading scheme: A Computable General Equilibrium-based case study,” Applied Energy, vol. 288, p. 116647, Apr. 2021, doi: 10.1016/j.apenergy.2021.116647.