Can central bank green communication reduce carbon emissions of high-energy-consuming firms?

Central bank green communication is one of the key measures for achieving the Sustainable Development Goals (SDGs). Exploring its impact on the carbon emissions of high-energy-consuming firms holds significant practical implications for achieving SDGs. We collected 5066 green finance-related texts from the official website of China's central bank to construct a "Central Bank Green Communication Index.", using a ChatGPT-based text analysis method. We employ a panel model to examine its impact on the carbon emissions of high-energy-consuming firms. The results show that central bank green communication can significantly reduce carbon emissions in these firms, with a more pronounced effect in provinces with a higher frequency of communication and among large firms. Mechanism analysis further indicates that promoting technological innovation, enhancing external supervision, and alleviating financial constraints are the three main channels. Regarding policy recommendations, this study suggests that the central bank should increase both the frequency and depth of its green communication. In addition, the central bank should integrate green communication into its regulatory framework and incorporate it into its monetary policy framework.

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Publication Details

Journal
Journal of Environmental Management
Published
2025-03-23
DOI
https://doi.org/10.1016/j.jenvman.2025.125088
Citations
7
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
21.92
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article

Can central bank green communication reduce carbon emissions of high-energy-consuming firms?

Muhammad Abubakr Naeem, Xu Zhang, Abdul Rauf, Xiao Zhou
7 citations
Journal of Environmental Management
Energy, Environment, Economic Growth
21.92
article

Can central bank green communication reduce carbon emissions of high-energy-consuming firms?

Muhammad Abubakr Naeem, Xu Zhang, Abdul Rauf, Xiao Zhou
article en
7 citations

Abstract

Central bank green communication is one of the key measures for achieving the Sustainable Development Goals (SDGs). Exploring its impact on the carbon emissions of high-energy-consuming firms holds significant practical implications for achieving SDGs. We collected 5066 green finance-related texts from the official website of China's central bank to construct a "Central Bank Green Communication Index.", using a ChatGPT-based text analysis method. We employ a panel model to examine its impact on the carbon emissions of high-energy-consuming firms. The results show that central bank green communication can significantly reduce carbon emissions in these firms, with a more pronounced effect in provinces with a higher frequency of communication and among large firms. Mechanism analysis further indicates that promoting technological innovation, enhancing external supervision, and alleviating financial constraints are the three main channels. Regarding policy recommendations, this study suggests that the central bank should increase both the frequency and depth of its green communication. In addition, the central bank should integrate green communication into its regulatory framework and incorporate it into its monetary policy framework.

Journal of Environmental ManagementVol. 380
Nanjing University of Information Science and Technology (CN)
Openalex Percentile: Top 1%
Energy, Environment, Economic Growth
21.92
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