Effects of China's carbon generalized system of preferences on low-carbon action: A synthetic control analysis based on text mining

Measuring the effects of China's Carbon Generalized System of Preferences (CGSP) on low-carbon action from front-end perspectives, such as residents' willingness, is intuitive and implementable. This study used text mining and sentiment analysis to obtain residents' willingness to support and implement low-carbon living in the sample cities, and constructed a counterfactual comparison unit to assess whether the implementation of CGSP enhances residents' willingness based on the synthetic control method. The results showed that the CGSP has a long-term effect on increasing residents' willingness to implement low-carbon living, but has a limited effect on increasing residents' willingness to support. Additionally, the degree of air pollution has a positive moderating effect on the implementation of CGSP, and there is a substitution effect between technological innovation capacity and policy implementation. This study provides insights for policymakers on the variations in residents' willingness to lowcarbon living under the influence of CGSP, which is crucial for achieving policy optimization and building a lowcarbon chain in society.