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Carbon Derivatives-Directed International Supervision Laws and Regulations and Carbon Market Mechanism

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  • Yao Cheng

    (Law School, Liaoning University, Shenyang 110036, China)

Abstract

With the global acknowledgment of the Kyoto Protocol came the carbon derivatives such as carbon futures, options, and swap contracts. The innovative carbon derivatives are complex in design and contain risks that are difficult to predict and avoid. The global Carbon Market should have higher requirements in the supervision laws and regulations. To this end, the financial system theories and the financial characteristics of carbon derivatives are expounded. The three-dimensional structural modeling technique of systems engineering is introduced to construct the Carbon Market framework. The proposed framework factors for the organization, product, and policy dimensions of the Carbon Market are also described. Additionally, this model explains the market organization, the instruments and media connecting market supply and demand, and government regulation measures. In particular, the supervision and management aspects of the policy dimension are introduced in detail. The Carbon Market and relevant law systems in the United States, the European Union, and India are mainly studied and compared. Based on the comparison results, the necessity of market supervision is explained. Finally, the Big Vector Autoregression model is used to study the relationship between the Carbon Market, energy market, and financial market. After the introduction of the National Carbon Market, the correlation between the energy market and the financial market has become relatively complex but also presents a certain degree of asymmetry. According to the above results, the paper proposes to use the “regulatory sandbox” mechanism to improve the regulation of the subject and object of the carbon financial and legal relationship and try to carry out regulatory innovation for the risks of the entire carbon market.

Suggested Citation

  • Yao Cheng, 2022. "Carbon Derivatives-Directed International Supervision Laws and Regulations and Carbon Market Mechanism," Sustainability, MDPI, vol. 14(23), pages 1-13, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16157-:d:992439
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    References listed on IDEAS

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    1. John Kambhu & Til Schuermann & Kevin J. Stiroh, 2007. "Hedge funds, financial intermediation, and systemic risk," Economic Policy Review, Federal Reserve Bank of New York, vol. 13(Dec), pages 1-18.
    2. Hodgson, Geoffrey M. & Mã‰Nard, Claude & Shirley, Mary M. & Wang, Ning, 2015. "Introduction to the Ronald H. Coase memorial issue," Journal of Institutional Economics, Cambridge University Press, vol. 11(2), pages 213-219, June.
    3. Darryll Hendricks & John Kambhu & Patricia C. Mosser, 2007. "Appendix B: Systemic risk and the financial system (background paper)," Economic Policy Review, Federal Reserve Bank of New York, vol. 13(Nov), pages 65-80.
    4. Gareth Bryant, 2018. "Nature as Accumulation Strategy? Finance, Nature, and Value in Carbon Markets," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(3), pages 605-619, May.
    5. Lannoo, Karel & Thomadakis, Apostolos, 2020. "Derivatives in Sustainable Finance," ECMI Papers 29791, Centre for European Policy Studies.
    6. Maamoun, Nada, 2019. "The Kyoto protocol: Empirical evidence of a hidden success," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 227-256.
    7. Tiziano Squartini & Guido Caldarelli & Giulio Cimini & Andrea Gabrielli & Diego Garlaschelli, 2018. "Reconstruction methods for networks: the case of economic and financial systems," Papers 1806.06941, arXiv.org.
    8. Rui Zhu & Liyu Long & Yinghua Gong, 2022. "Emission Trading System, Carbon Market Efficiency, and Corporate Innovations," IJERPH, MDPI, vol. 19(15), pages 1-22, August.
    9. Carlos Hervés-Beloso & Emma Moreno-García, 2022. "Revisiting the Coase theorem," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 73(2), pages 421-438, April.
    Full references (including those not matched with items on IDEAS)

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