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Author: Admin | 2025-04-28
Consequences of China's coal capacity cut policy and revealed that the capacity cut policy should be differentiated across regions due to the fragmentation of the coal markets, unbalanced distribution of resources, and a mismatch between production and demand centers (Sueyoshi and Yuan, 2018). These same researchers used the intermediate DEA innovation model to study the energy utilization efficiency and sustainable development of Asian countries (Sueyoshi and Yuan, 2015, 2018). Bi et al. used different DEA models to study the exploitation and utilization efficiency of coal resources in China and to make comparisons between China and the United States (Bi et al., 2014). Table 1. Research carried out on this topic between 2009 and 2019.To date, little research has been carried out on mining efficiency and sustainable development countermeasures in China based on the concept of green mining. Hence, this study constructs an entire green mining efficiency indicator evaluation system and sets up a two-stage combined DEA model that reflects the real production conditions of coal mining enterprises. Specific countermeasures and strategies for sustainable development under the guidance of green mining are formulated on the basis of empirical study results.Second, from the perspective of model establishment, the authors also tracked and analyzed the relevant research on DEA theory and its derivative models, which, in recent years, have been used to examine energy efficiency and environmental performance.The classical DEA models and their extensions include the constant returns to scale model (CCR), variable returns to scale model (BCC), additive model, and slacks-based DEA models (Cook and Seiford, 2009). Yang and Pollitt simultaneously considered the undesirable outputs and uncontrollable variables to propose six DEA-based performance evaluation models based on research relating to Chinese coal-fired power plants (Yang and Pollitt, 2009). Scholars such as Sueyoshi and Goto have applied different DEA models to systematically evaluate the operational and environmental efficiency of the United States US coal-fired power plants. To examine the influence of the US Clean Air Act (CAA), they used a range-adjusted measure to examine the environmental and unified performance of United States coal-fired power plants. They discussed a combined use of DEA and Discriminant Analysis (DA) (DEA–DA) to determine the efficiency scores and ranks of the electric power industry (Sueyoshi and Goto, 2010, 2012b). Tao and Zhang applied two environmental DEA models incorporating undesirable outputs to measure the environmental efficiency of the electric power industry in the Yangtze River Delta from 2000 to 2010 (Tao and Zhang, 2013). Meanwhile, Xie et al. used a two-stage environmental network DEA model to compare the efficiency of 30 provincial administrative power systems in China (Xie et al., 2012). Zhou et al. proposed a non-radial DEA approach by integrating the entropy weight and a slacks-based model (SBM) to access the environmental efficiency of the Chinese power industry at the provincial level from 2005 to 2010 (Zhou et al., 2013). Using CCR and BCC models with advanced DEA linear programming, Fang et al. attempted to compare the relative technical efficiency performance of listed coal mining companies in China
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