Abstract
The mining industry plays an extremely important strategic role in China’s economic and social development. In the new era of pursuing circular/green/efficient development, the evaluation of the total factor environmental efficiency (TFEE) of China’s mining industry is essential for alleviating resource waste and environmental pollution. The Epsilon-Based Measure (EBM) model effectively solves the shortcomings of radial and non-radial DEA models. In addition, the Malmquist–Luenberger (ML) index can measure the dynamic change of efficiency value. Combining the EBM model and the ML productivity index, this paper evaluates the TFEE from the static and dynamic perspective in China’s 31 provincial mining industries over the period 2007–2016. The Theil index is employed to reveal the root of the overall provincial TFEE gap (OGTFEE) in China’s mining industry. The results show that the average total factor static environmental efficiency (TFSEE) of China’s provincial mining industry exhibits a low score of 0.6589 and with significant spatio-temporal differences. The provincial TFEE gap within four major areas (WGTFEE), especially that in east and west areas, is the main cause of the OGTFEE in China’s mining industry. Technical change contributes more to the TFEE decline in China’s mining industry. There are differences in improving the TFEE among China’s 31 provincial mining industries, and corresponding countermeasures can be formulated accordingly. This study provides theoretical and practical basis for the clean and green development of China’s mining industry.
Highlights
Accepted: 29 January 2022Minerals and metals are fundamental raw materials for contemporary society, as they are core supplies for supporting the life of humankind
(4) Based on the ML productivity index, this paper investigates the total factor dynamic environmental efficiency (TFDEE) of China’s provincial mining industry, and clarifies the effects of efficiency change (EC) index and technical change (TC) index on environmental efficiency, which helps scholars to understand the evolution trend of the environmental efficiency in China’s mining industry, and helps
As this paper involves the treatment of undesirable output, we extend the Epsilon-Based Measure (EBM)-I-C
Summary
Accepted: 29 January 2022Minerals and metals are fundamental raw materials for contemporary society, as they are core supplies for supporting the life of humankind. According to Hartman and Mutmansky (2002), the industrial mining cycle consists of a broad macro process with five long-term stages, each with a strong impact on the environment [1]. Mining has recently garnered increased attention due to its vast environmental impacts [2,3,4,5]. With China’s reform and opening up, the mining industry has always played a strong supporting role in the rapid development of economy and society, and the acceleration of industrialization and urbanization. The mining industry has always been an important engine to promote China’s economic development, and its position in the national economy is self-evident [6,7]. In order to control environmental pollution in the mining industry, the Chinese government has issued many policy documents, including saving
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
