Study on the Evaluation of the Development Efficiency of Smart Mine Construction and the Influencing Factors Based on the US-SBM Model

Mei Tao, Shanshan Lv () and Shiqian Feng
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Mei Tao: College of Mines, Liaoning Technical University, Fuxin 123000, China
Shanshan Lv: College of Mines, Liaoning Technical University, Fuxin 123000, China
Shiqian Feng: College of Mines, Liaoning Technical University, Fuxin 123000, China

Sustainability, 2023, vol. 15, issue 6, 1-17

Abstract: Taking the panel data of 13 provinces (autonomous regions and municipalities directly under the central government) in Shanxi and Xinjiang from 2011 to 2020 as the research object, we establish an evaluation index system for assessing smart mine construction development efficiency combined with the global reference method. The non-desired output super-efficiency slacks-based measure and the kernel density model were used to measure the development efficiency of smart mine construction and spatial structure evolution characteristics. This study explores the internal and external factors affecting the efficiency in various regions using the Tobit regression model. After conducting the analysis, the study obtained four main findings: (1) the development efficiency is influenced by the level of technology, and the overall level is low; (2) there are spatially heterogeneous and agglomerative characteristics, with large differences in regional distribution; (3) personnel is the main factor causing the phenomenon of severe redundancy in the region; and (4) the level of regional economic development, industrial structure, and the degree of government intervention are the main external factors that have a positive impact.

Keywords: smart mine development efficiency; global reference method; super-efficiency slacks-based measure model; kernel density estimation model; Tobit regression model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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