Abstract

The proposal of supply-side structural reform measures has ushered in new development opportunities for mining enterprises in the bottleneck period. As a result, a model for evaluating the economic management performance of mining firms at the new performance level must be established. This paper suggests an assessment model for the economic management of mining firms against the backdrop of supply-side reform in light of this. This study reasonably incorporated financial and non-financial performance indicators, constructed the Economic Management Performance (EMP) evaluation index system of mining enterprises, and created an economic management performance evaluation model of mining enterprises based on the BP neural network and analytic hierarchy process. The study selected the relevant data of five mining companies A, B, C, D, and E from 2017 to 2022 as the research object, verified the effectiveness of the model, and analyzed the performance evaluation results of the companies. The research results show that the model constructed in this study can evaluate the economic management performance level of enterprises within a reasonable range (the mean relative error is 1.98%). Since 2017, the comprehensive performance level of these five mining companies has gradually declined. But thanks to the supply-side reform, the comprehensive performance has gradually recovered after 2022 and among the five mining companies, company A has always been at the performance level way ahead. Overall, the model developed in this research has strong operability and practicability and can be utilized more effectively to forecast the mining industry’s potential for future growth.

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