@article{Pang2026, 
author = {Jun Pang and Wendan Zhang and Yanhua Wang and Lu Cheng and Shihui Zhang and Xunzhang Pan and Ke Wang},
title = {COMPASS: a comprehensive Climate-gOvernance Modeling & Policy ASsessment System supporting cutting-edge climate research},
year = {2026},
journal = {Energy and Climate Management},
volume = {2},
number = {2},
pages = {9400036},
keywords = {Climate-gOvernance Modeling & Policy ASsessment System (COMPASS), computable general equilibrium, energy technology model, integrated assessment model, econometric and machine learning},
url = {https://www.sciopen.com/article/10.26599/ECM.2026.9400036},
doi = {10.26599/ECM.2026.9400036},
abstract = {This paper introduces a comprehensive Climate-gOvernance Modeling & Policy ASsessment System (COMPASS) developed by the School of Ecology & Environment, Renmin University of China. The COMPASS includes a top−down computable general equilibrium model (CE3-CGE), a bottom−up energy technology model (PECE), a localized integrated assessment model (GCAM-CHN), as well as econometric and machine learning approaches. Together, these models simulate multi-scale interactions across energy systems, technological details, and macroeconomic dynamics, supporting policy analysis ranging from macrostructural trends to micro-level technoeconomic features, and from long-term pathways to short-term fluctuations. The COMPASS could provide robust scientific support for China’s carbon neutrality governance and contribute methodological advances and scenario-based insights to the broader field of global climate policy research.}
}