中国减污降碳协同效应的量化评估——基于时间序列因果推断视角

Key Points

• This paper aims to propose a new approach for the quantitative assessment of the synergistic effects of pollution reduction and carbon reduction from a time series causal inference perspective.
• Utilizes multi-spatial convergence cross-mapping method to analyze data from 2015 to 2024.
• Examines urban carbon emissions and air quality indices at national, urban cluster, and provincial levels.
• Assesses the spatial heterogeneity characteristics of the synergistic effects of pollution and carbon reductions.
• Significant synergistic effects of pollution reduction and carbon reduction identified at national, urban cluster, and provincial levels.
• The predominant pattern is one-way synergy from pollution to carbon reduction, with reciprocal synergy being secondary.
• The pollution reduction policy shows a significantly greater carbon reduction effect compared to the carbon reduction policy's pollution reduction effect.