Energy Efficiency Evaluation of Provincial Mining Industry under Carbon Emission Constraint: Based on SBM-Malmquist Index Model

DONG Yanjia; LUO Dejiang; HE Zhiqi; LI Junbo

doi:10.3969/j.issn.1000-6532.2024.02.033

2024 No. 2

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Article navigation > Multipurpose Utilization of Mineral Resources > 2024 > 45(2): 207-213

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DONG Yanjia, LUO Dejiang, HE Zhiqi, LI Junbo. Energy Efficiency Evaluation of Provincial Mining Industry under Carbon Emission Constraint: Based on SBM-Malmquist Index Model[J]. Multipurpose Utilization of Mineral Resources, 2024, 45(2): 207-213. doi: 10.3969/j.issn.1000-6532.2024.02.033

Citation:

DONG Yanjia, LUO Dejiang, HE Zhiqi, LI Junbo. Energy Efficiency Evaluation of Provincial Mining Industry under Carbon Emission Constraint: Based on SBM-Malmquist Index Model[J]. Multipurpose Utilization of Mineral Resources, 2024, 45(2): 207-213. doi: 10.3969/j.issn.1000-6532.2024.02.033

Energy Efficiency Evaluation of Provincial Mining Industry under Carbon Emission Constraint: Based on SBM-Malmquist Index Model

School of Mathematics and Physics, Chengdu University of Technology, Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, Sichuan, China

Received Date: 08 October 2022

Publish Date: 25 April 2024

Abstract

Abstract

This is an article in the field of mining engineering. Improving energy efficiency and reducing carbon emissions in the mining industry is an important way for the mining industry to achieve green development. This essay uses the SBM model and Malmquist index to explore the mining energy efficiency of China's mining industry under the carbon emission level constraint, based on provincial (inter-provincial) mining industry panel data. The results show that the overall level of energy efficiency of China's mining industry under the carbon emission level constraint is low, and there are differences in energy efficiency among regions. The overall fluctuation of total factor productivity of China's mining industry energy from 2013 to 2018 is not significant, and China's total factor productivity increased year by year from 2015 to 2018, with technological progress being the main driver of efficiency improvement. Therefore, the level of mining technology should be improved, mining environment monitoring should be increased, and mining energy-related policies should be designated according to local conditions.
- Mining engineering /
- Mining energy efficiency /
- SBM model /
- Malmquist index

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References

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