An empirical analysis of the operating efficiency of listed companies in China's mining based on DEA model and Malmquist index model

This paper uses the DEA-BCC model and the Malmquist index model to perform static and dynamic analysis of the operating efficiency of 69 listed companies in the mining industry in China as a whole and their sub-sectors from 2015 to 2018.Static analysis show that the overall operating efficiency of listed companies in the Chinese mining industry is low, with less than 10.0% of companies achieving effective DEA each year.There are differences in the changing trends in the operating efficiency of sub-sectors in different business areas.Low pure technical efficiency is the main reason for low operating efficiency.The reason is that more than 64.2% of the companies are in the state of increasing returns to scale each year, indicating that most listed mining companies should expand their production scale to improve their output efficiency; dynamic analysis show that total factor productivity has continued to grow during the sample period, and scale efficiency has changed and the contribution of this sector is relatively large.The total factor productivity of non-ferrous metal mining and dressing industries in the subdivided industries decreased by 13.7% from 2017 to 2018, mainly due to the decline in pure technology efficiency, which has restrained the growth of total factor productivity.This paper proposes that the efficiency of an enterprise can be improved by enhancing its management efficiency and adjusting its size, increasing its investment in scientific research, improving its pure technology efficiency level, and strengthening the coordination and integration of resources between the enterprise and government economic departments.