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

Feiyu Chen, Qirui Chen, Jing Hou and Shanshan Li

Energy Economics, 2023, vol. 124, issue C

Abstract: 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 low-carbon living under the influence of CGSP, which is crucial for achieving policy optimization and building a low-carbon chain in society.

Keywords: Carbon generalized system of preferences; Low-carbon-action effect; Text mining; Synthetic control method (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:124:y:2023:i:c:s0140988323003651

DOI: 10.1016/j.eneco.2023.106867

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