Study on China’s manganese resource demand from 2024 to 2035 based on GM-SVR method

Manganese is a strategic mineral resource primarily utilized in iron and steel metallurgy. As the world’s largest consumer of manganese, China’s future demand for this resource is crucial for its economic and social development and industrial planning. This paper focuses on manganese demand in China’s iron and steel sector, establishing a combined grey prediction model and support vector regression model (GM-SVR) to forecast China’s crude steel output from 2024 to 2035. Based on this output, we estimate manganese resource demand from 2024 to 2035 using the steel-to-manganese ratio. We employ qualitative and quantitative analyses to project manganese resource needs for this period by applying the “S” shape law and sectoral demand forecasting methods. These three methods indicate a gradual decrease in China’s manganese demand, with projections of 12.86 million tons in 2025, 11.76 million tons in 2030, and 10.64 million tons in 2035. Despite the yearly decline in demand and tightening environmental policies, the overall need for manganese in China remains substantial. Therefore, increasing investment in manganese ore exploration is essential, as well as enhancing research and development in application technologies, optimizing the structure of manganese-related industries, and improving green growth and resource management.

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Publication Details

Journal
Frontiers in Earth Science
Published
2025-03-27
DOI
https://doi.org/10.3389/feart.2025.1538908
Citations
3
Primary Topic
Grey System Theory Applications
Type
article
Field-Weighted Citation Impact
6.32
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article

Study on China’s manganese resource demand from 2024 to 2035 based on GM-SVR method

Qunyi Liu, Bin Du, Hongye Feng, Xuguang Zhao et al.
3 citations
Frontiers in Earth Science
Grey System Theory Applications
6.32
article

Study on China’s manganese resource demand from 2024 to 2035 based on GM-SVR method

Qunyi Liu, Bin Du, Hongye Feng, Xuguang Zhao, Guwang Liu, Xiuli Han, Lei Liu, Hongjian Zhu
article en
3 citations

Abstract

Manganese is a strategic mineral resource primarily utilized in iron and steel metallurgy. As the world’s largest consumer of manganese, China’s future demand for this resource is crucial for its economic and social development and industrial planning. This paper focuses on manganese demand in China’s iron and steel sector, establishing a combined grey prediction model and support vector regression model (GM-SVR) to forecast China’s crude steel output from 2024 to 2035. Based on this output, we estimate manganese resource demand from 2024 to 2035 using the steel-to-manganese ratio. We employ qualitative and quantitative analyses to project manganese resource needs for this period by applying the “S” shape law and sectoral demand forecasting methods. These three methods indicate a gradual decrease in China’s manganese demand, with projections of 12.86 million tons in 2025, 11.76 million tons in 2030, and 10.64 million tons in 2035. Despite the yearly decline in demand and tightening environmental policies, the overall need for manganese in China remains substantial. Therefore, increasing investment in manganese ore exploration is essential, as well as enhancing research and development in application technologies, optimizing the structure of manganese-related industries, and improving green growth and resource management.

Frontiers in Earth ScienceVol. 13
North China University of Science and Technology (CN), Chinese Academy of Geological Sciences (CN), Yanshan University (CN)
Openalex Percentile: Top 4%
Grey System Theory Applications
6.32
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Study on China’s manganese resource demand from 2024 to 2035 based on GM-SVR method — Qunyi Liu, Bin Du, et al. · Frontiers in Earth Science (2025) | TGRS Research Map | TGRS