矿产综合利用2024，Vol.45Issue(2)：207-213,7.DOI:10.3969/j.issn.1000-6532.2024.02.033
碳排放约束下省际矿业能源效率评价—基于SBM-Malmquist指数模型
Energy Efficiency Evaluation of Provincial Mining Industry under Carbon Emission Constraint:Based on SBM-Malmquist Index Model
摘要
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.关键词
矿业工程/矿业能源效率/SBM模型/Malmquist指数Key words
Mining engineering/Mining energy efficiency/SBM model/Malmquist index分类
矿业与冶金引用本文复制引用
董延佳,罗德江,何峙锜,李俊波..碳排放约束下省际矿业能源效率评价—基于SBM-Malmquist指数模型[J].矿产综合利用,2024,45(2):207-213,7.基金项目
四川省自然科学基金项目(2022NSFSC0510) （2022NSFSC0510）
成都理工大学哲学社会科学研究基金项目(YJ2021-ZD007) （YJ2021-ZD007）
数学地质四川省重点实验室开放基金项目(scsxdz2021yb01). （scsxdz2021yb01）
