Construction and Case Analysis of the TEM Model for Adapting Carbon Total Quota Allocation Decisions

With the gradual advancement of China's "`Dual Carbon" strategy, the implementation of a decomposition and assessment system based on total carbon emission indicators is imminent. Exploring scientific and rational methods for allocating total carbon emission indicators is crucial for achieving the synergy between ``Dual Carbon" goals and economic growth. However, the advantages and disadvantages of different allocation schemes are difficult to compare directly. This paper attempts to address this issue by constructing a TEM model. The TEM model comprises the Carbon Allocation (CA) system, the Carbon Scenario Simulation (CSS) system, and the Carbon Sharp Ratio Assessment (CS) system. Various allocation methods are set up in the CA system, simulations are conducted using the CSS system to obtain the economic and equilibrium states under different CA allocation schemes. The CS system constructs the Carbon Sharp Ratio for relative value assessment, ultimately yielding comparative evaluations of the different total carbon emission allocation schemes. Finally, the TEM model is programmed using Python, and Guangdong Province is used as a case study for the TEM model analysis. The TEM model fully considers the complex relationships between total carbon emissions, economic growth, and social equity, providing valuable references for decision-makers through simulation and evaluation.