Evaluation of Enterprise Green Mine Construction Based on DPSIR Model

Int J Environ Res Public Health. 2023 Mar 10;20(6):4932. doi: 10.3390/ijerph20064932.

Abstract

As a new mode of mining development, green mine optimizes the development and utilization of mineral resources with a minimum of the environmental impact, and how to objectively evaluate the construction level of the green mine has become the key to promote green mine construction and it has also been an important path to achieve sustainable development of mineral resources. The evaluation system and methods of green mine construction, however, are not perfect at present as the existing green mine evaluation mostly adopts the index scoring accumulation method, with which the internal relations between the indicators are ignored, and the subjective influence it causes is too large. Based on the framework model of driving forces, pressure, state, impact and response, an indicator system is constructed in this paper to express the internal relationship between indicators more intuitively. Combined with subjective and objective combination weighting method to determine the index weight, TOPSIS and coupling coordination degree models are introduced to quantitatively evaluate the spatio-temporal evolution process of green mine construction and the coupling coordination between subsystems, analyze and obtain the main obstacle factors affecting the green mine construction of enterprises, and provide suggestions and countermeasures for the improvement of green mine construction of enterprises. The applicability of the model is verified by an actual case study of a mine in China. The model enriches the connotation of green mines, making the evaluation process and results fairer and more reliable, thus providing an effective way to promote the sustainable development of mines.

Keywords: DPSIR framework model; TOPSIS coupling coordination evaluation; combination weighting; main obstacle factors; sustainable development.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Mining*
  • Sustainable Development*

Grants and funding

This research was supported by National Natural Science Foundation of China (grant number 52174261) and Key R&D Project in Shaanxi Province (grant number 2023-YBGY-053) for which we are gratefully acknowledged.