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The Coupling Relationships and Influence Mechanisms of Green Credit and Energy-Environment-Economy Under China’s Goal of Carbon Neutrality

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Abstract

Under the goal of carbon neutrality, it is critical for China to give full play to the role of green credit, and promote the coordinated development of energy-environment-economy (3E) system. Based on the data of China from 2000 to 2020, the authors build the environmental pollution index, energy transformation index and high-quality economic development index. By using Bayesian network model (BN), the authors investigate the coupling relationships and influence mechanisms of green credit and 3E system. The results show that the main cause of environmental pollution is the annual increase of carbon dioxide emissions. Green credit can reduce carbon emissions to a certain extent, and alleviate environmental pollution through energy structure, technological progress and per capita GDP. Clean energy utilization and per capita GDP growth also help to control environmental pollution. Green credit can stimulate technological progress and accelerate energy transformation together with technological progress. Clean energy utilization can facilitate the upgrading of industrial structure, industrial structure upgrading and green credit can restrict the level of opening up. Technological progress promotes per capita GDP growth. Per capita GDP growth can reduce energy intensity and improve urbanization and per capita energy consumption.

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Correspondence to Yabo Wang.

Additional information

This research was supported by the National Natural Science Foundation of China under Grant No. 71874133, the Youth Innovation Team of Shanxi Universities and the Annual Basic Scientific Research Project of Xidian University 32 (2019).

This paper was recommended for publication by Editor TANG Ling.

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Chai, J., Wang, Y., Hu, Y. et al. The Coupling Relationships and Influence Mechanisms of Green Credit and Energy-Environment-Economy Under China’s Goal of Carbon Neutrality. J Syst Sci Complex 36, 360–374 (2023). https://doi.org/10.1007/s11424-023-1253-6

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  • DOI: https://doi.org/10.1007/s11424-023-1253-6

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