A proposal by reducing the mining social conflicts using the improved multi-criteria assessment model

https://doi.org/10.55214/25768484.v9i6.8104

Authors

  • Julio G. Poterico Mining Engineering Department, Faculty of Mining Engineering, Geology and Metallurgy, National University Santiago Antúnez de Mayolo, 02002, Peru. https://orcid.org/0000-0001-9803-162X
  • Filomón Laurente Mining Engineering Department, Faculty of Mining Engineering, Geology and Metallurgy, National University Santiago Antúnez de Mayolo, 02002, Peru. https://orcid.org/0009-0008-9237-323X

A methodological tool for multi-criteria impact assessment has been developed for application in the productive-extractive industry, such as mining activity, with the aim of reducing social conflict. This assessment methodology is called the IMCA Model (Improved Multicriteria Assessment). It is a holistic and innovative methodology that includes the quantification of impacts evaluated from a comprehensive approach. Additionally, the IMCA Model offers other advantages; it is a participatory, inclusive, and binding tool, which allows for better and more reliable results aligned with reality due to its traceability for assessing externalities. The IMCA Model methodology encompasses technical-operational, economic, social, cultural, educational, environmental, and governance factors, among others, depending on the project's nature. This methodology also comprises five main assessment phases: 1) Participatory phase, 2) Statistical phase, 3) Application phase of the mathematical algorithm - IMCA Model, 4) Results socialization phase, and 5) Monitoring and surveillance phase. By measuring externalities in the influence areas of a productive-extractive project using the IMCA Model, it becomes a predictive evaluation tool, enabling the design of a sustainable coexistence model with local populations and environments.

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How to Cite

Poterico, J. G. ., & Laurente, F. . (2025). A proposal by reducing the mining social conflicts using the improved multi-criteria assessment model. Edelweiss Applied Science and Technology, 9(6), 1320–1330. https://doi.org/10.55214/25768484.v9i6.8104

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Published

2025-06-16