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A study on the dynamic impact of carbon emission trading on green and high-quality development

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Abstract

As a pivotal element in market mechanisms, carbon trading is increasingly recognized as crucial for achieving China’s Carbon Peaking and Carbon Neutrality Goals. This study introduces a comprehensive dynamic model, integrating carbon trading, emissions, economic growth, and green technology innovation, to offer a holistic understanding of the interplay between these domains. Utilizing principles from nonlinear dynamics and chaos theory, the model is adept at simulating various scenarios and assessing the effectiveness of government policies in stabilizing these complex systems. In-depth analysis provided by this research sheds light on the nuanced impact of carbon trading policies on sustainable development. Key findings highlight (1) Carbon trading’s essential role as a catalyst in propelling sustainable and high-quality growth. (2) A strong positive relationship is observed between the sophistication of the carbon trading mechanism and its effectiveness in stimulating green technology innovation and fostering high-quality green development. Notably, carbon trading’s influence on green technology innovation markedly enhances the efficacy of carbon emission reduction strategies. (3) Government regulations are instrumental in augmenting carbon prices, thus incentivizing increased corporate participation in emission reduction and enhancing the overall impact of carbon emission reduction. Nevertheless, the study identifies a critical threshold in regulatory intensity, beyond which there is a risk of system destabilization (\({a}_{3}\ge 0.032\)). These findings underscore the imperative for developing an integrated national carbon emission trading market, prioritizing sustainable growth strategies and diligently pursuing China’s environmental objectives.

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Fig. 1
Fig. 2

Source: The Lyapunov exponential spectrum is drawn by MATLAB, and the data are from Table 1. Notes: The sources of data for Table 1 are provided in the explanatory notes beneath the table

Fig. 3

Source: Chaotic attractors and temporal graphs are drawn by MATLAB, and the data are from Table 1. Notes: The sources of data for Table 1 are provided in the explanatory notes beneath the table

Fig. 4

Source: Chaotic attractors and temporal graphs are drawn by MATLAB, and the data are from Table 1. Notes: The sources of data for Table 1 are provided in the explanatory notes beneath the table

Fig. 5

Source: Chaotic attractors and temporal graphs are drawn by MATLAB, and the data are from Table 2. Notes: The sources of data used in Table 2 are comprehensively outlined in the section immediately following the table

Fig. 6

Source: Chaotic attractors and temporal graphs are drawn by MATLAB, and the data are from Table 2. Notes: The sources of data used in Table 2 are comprehensively outlined in the section immediately following the table

Fig. 7

Source: Chaotic attractors and temporal graphs are drawn by MATLAB, and the data are from Table 2. Notes: The sources of data used in Table 2 are comprehensively outlined in the section immediately following the table

Fig. 8

Source: Chaotic attractors and temporal graphs are drawn by MATLAB, and the data are from Table 2. Notes: The sources of data used in Table 2 are comprehensively outlined in the section immediately following the table

Fig. 9

Source: Chaotic attractors and temporal graphs are drawn by MATLAB, and the data are from Table 2. Notes: The sources of data used in Table 2 are comprehensively outlined in the section immediately following the table

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Notes

  1. Xi Jinping Delivers Important Speech at the General Debate of the 75th UN General Assembly, Xinhua, September 22, 2020, http://www.xinhuanet.com/politics/2020-09/22/c_1126527647.htm.

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Acknowledgements

We would like to thank our Editor and anonymous reviewer(s) for their valuable comments.

Funding

This work is supported by the Major Program of National Social Science Foundation of China (22&ZD122) and the General Program of National Social Science Foundation of China (21BJL102).

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Zhang, Yan, and Chen conceived the idea; Yang conducted the analyses; all authors contributed to the writing and revisions. All authors have given approval to the final version of the manuscript.

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Correspondence to Bingbing Zhang.

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Responsible Editor: V.V.S.S. Sarma

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Yang, Q., Zhang, B., Yan, Z. et al. A study on the dynamic impact of carbon emission trading on green and high-quality development. Environ Sci Pollut Res 31, 23037–23054 (2024). https://doi.org/10.1007/s11356-024-32584-8

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