Aiming at goal conflicts and uncertainties in the coordinated development of carbon emissions, energy, and financially sustainable growth, this study integrates triangular fuzzy numbers (to address uncertainties from incomplete data/subjective judgment), the analytic hierarchy process (AHP, to determine indicator weights), and a coordination degree model to build a comprehensive evaluation model. Taking City S as an example, its coordination index increased from 0.46 to 0.81 between 2018 and 2024. Green finance and renewable energy are key drivers, while carbon emission control and energy efficiency are bottlenecks that require support to address related issues.
Lisha Zheng (Thu,) studied this question.