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Effect of Regulation on the Increasing Price of Metals and Minerals to Meet the Challenges in Clean Energy Transitions: A Case Study of China

Author

Listed:
  • Lin Xu

    (School of Law, Central South University, Changsha 410083, China)

  • Zhenwei Guo

    (School of Geosciences and Info-Physics, Central South University, Changsha 410083, China)

Abstract

Considering that the development of science and technology depends on metal support, the EU, USA, and China have issued a critical metal list on the development report. However, the scarce and important mineral deposits on a global scale will not be enough to meet the huge needs of economic development in the future. Many fields such as renewable energy, high-performance computing, and AI all require critical metals as essential supports. A proper price regulation of such important metals will contribute to the fair price power on the international market. In this paper, the pricing history and strategy of critical metal support are fully studied and discussed. Since China has become a major consumer country, China should gain fair price power in the market of important metals.

Suggested Citation

  • Lin Xu & Zhenwei Guo, 2022. "Effect of Regulation on the Increasing Price of Metals and Minerals to Meet the Challenges in Clean Energy Transitions: A Case Study of China," Sustainability, MDPI, vol. 14(2), pages 1-13, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:764-:d:721985
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    References listed on IDEAS

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    1. Yuancheng Lin & Honghua Yang & Linwei Ma & Zheng Li & Weidou Ni, 2021. "Low-Carbon Development for the Iron and Steel Industry in China and the World: Status Quo, Future Vision, and Key Actions," Sustainability, MDPI, vol. 13(22), pages 1-28, November.
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    Cited by:

    1. Jiehui Yuan & Zhihong Liu & Ting Zhou & Xiaoming Tang & Juan Yuan & Wenli Yuan, 2023. "Sustainable Development of Lithium-Based New Energy in China from an Industry Chain Perspective: Risk Analysis and Policy Implications," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    2. Sarwar, Suleman & Aziz, Ghazala & Waheed, Rida & Morales, Lucía, 2024. "Forecasting the mineral resource rent through the inclusion of economy, environment and energy: Advanced machine learning and deep learning techniques," Resources Policy, Elsevier, vol. 90(C).
    3. Islam, Md. Monirul & Sohag, Kazi & Berezin, Andrey & Sergi, Bruno S., 2024. "Factor proportions model for Russian mineral supply-driven global energy transition: Does externality matter?," Energy Economics, Elsevier, vol. 129(C).

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