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Exploring the Sustainable Development Path of a Green Financial System in the Context of Carbon Neutrality and Carbon Peaking: Evidence from China

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  • Xiaolong Bai

    (Management School, University of Liverpool, Liverpool L69 7ZX, UK)

Abstract

In the 75th session of the United Nations General Assembly, the Chinese government first proposed the goal of carbon neutrality and carbon peaking. Since then, China’s economy and society have undergone a comprehensive green and sustainable development upgrade and transformation. The development of green finance can provide financial support for the achievement of the dual carbon goals and mitigate the impact of climate change, and more importantly can contribute to the sustainable development of the national economy and society. In this study, we innovatively draw on the quality function deployment theory in marketing to logically formulate the research idea of this paper. The greatest advantage of this approach is that it enhances the readability of this paper and enriches the research logic system of this paper. On this basis, we also applied the G1-entropy value method from fuzzy mathematical theory for quantitative research. In fact, it should be noted that the G1 method we propose in this study is actually an improved subjective assessment method, in which we introduce expert ratings to improve the reliability of the subjective assessment results. As we all know, financial system architecture and research is a common academic topic, but unlike the classical research on the development quality of financial systems, we innovatively addressed the actual national conditions in China and fully integrated green elements in the construction of the index system from the perspective of green finance and sustainability. Finally, we calculated the index weights through G1-entropy quantification, and qualitatively propose countermeasures for the development quality of China’s green finance for key index factors. In conclusion, we sort the contributions of this paper into the following three aspects: (1) we innovatively combined the quality function deployment theory and built the quantitative analysis process architecture in this paper, which enhanced the readability of this paper; (2) we realized the use of quantitative research for qualitative analysis and proposed the G1-entropy value method, which made up for the defects of the subjective and objective methods in the traditional evaluation methods; and (3) we realized the organic combination of quantitative and qualitative analysis, and proposed relevant countermeasure suggestions based on the quantitative index calculation results, which provided relevant countermeasure suggestions for promoting the sustainable and high-quality development of green finance in China.

Suggested Citation

  • Xiaolong Bai, 2022. "Exploring the Sustainable Development Path of a Green Financial System in the Context of Carbon Neutrality and Carbon Peaking: Evidence from China," Sustainability, MDPI, vol. 14(23), pages 1-25, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15710-:d:984254
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    References listed on IDEAS

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    1. Zhang, Dongyang & Mohsin, Muhammad & Rasheed, Abdul Khaliq & Chang, Youngho & Taghizadeh-Hesary, Farhad, 2021. "Public spending and green economic growth in BRI region: Mediating role of green finance," Energy Policy, Elsevier, vol. 153(C).
    2. Li, Jinying & Li, Sisi, 2020. "Energy investment, economic growth and carbon emissions in China—Empirical analysis based on spatial Durbin model," Energy Policy, Elsevier, vol. 140(C).
    3. Song, Malin & Xie, Qianjiao & Shen, Zhiyang, 2021. "Impact of green credit on high-efficiency utilization of energy in China considering environmental constraints," Energy Policy, Elsevier, vol. 153(C).
    4. Liu, Xinghe & Wang, Enxian & Cai, Danting, 2019. "Green credit policy, property rights and debt financing: Quasi-natural experimental evidence from China," Finance Research Letters, Elsevier, vol. 29(C), pages 129-135.
    5. Lee, Chi-Chuan & Lee, Chien-Chiang, 2022. "How does green finance affect green total factor productivity? Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    6. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    7. Lv, Chengchao & Bian, Baocheng & Lee, Chien-Chiang & He, Zhiwen, 2021. "Regional gap and the trend of green finance development in China," Energy Economics, Elsevier, vol. 102(C).
    8. Yu, Chin-Hsien & Wu, Xiuqin & Zhang, Dayong & Chen, Shi & Zhao, Jinsong, 2021. "Demand for green finance: Resolving financing constraints on green innovation in China," Energy Policy, Elsevier, vol. 153(C).
    9. Jin, Yi & Gao, Xiaoyan & Wang, Min, 2021. "The financing efficiency of listed energy conservation and environmental protection firms: Evidence and implications for green finance in China," Energy Policy, Elsevier, vol. 153(C).
    10. Zhaoying Ouyang & Miaochao Chen, 2022. "Construction and Application of Economic Management Fuzzy Decision Model Based on Fuzzy Relevance Method," Journal of Mathematics, Hindawi, vol. 2022, pages 1-11, January.
    11. Ozili, Peterson K, 2021. "Digital finance, green finance and social finance: is there a link?," MPRA Paper 110151, University Library of Munich, Germany.
    12. Naqvi, Bushra & Mirza, Nawazish & Rizvi, Syed Kumail Abbas & Porada-Rochoń, Małgorzata & Itani, Rania, 2021. "Is there a green fund premium? Evidence from twenty seven emerging markets," Global Finance Journal, Elsevier, vol. 50(C).
    13. Yang, Chuxiao & Hao, Yu & Irfan, Muhammad, 2021. "Energy consumption structural adjustment and carbon neutrality in the post-COVID-19 era," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 442-453.
    14. Zhang, Dayong & Zhang, Zhiwei & Managi, Shunsuke, 2019. "A bibliometric analysis on green finance: Current status, development, and future directions," Finance Research Letters, Elsevier, vol. 29(C), pages 425-430.
    15. Shashank Thanki & Jitesh Thakkar, 2018. "A quantitative framework for lean and green assessment of supply chain performance," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(2), pages 366-400, February.
    16. Li, Guangchen & Wei, Weixian, 2021. "Financial development, openness, innovation, carbon emissions, and economic growth in China," Energy Economics, Elsevier, vol. 97(C).
    17. Hu, Guoqiang & Wang, Xiaoqi & Wang, Yu, 2021. "Can the green credit policy stimulate green innovation in heavily polluting enterprises? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 98(C).
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