Integrated framework for ESG risk management and carbon footprint quantification in mining technological processes

Authors

  • Rakhmanberdiev Azamat Gazizuly Third year doctoral student in the Doctor of Business Administration program, Almaty Management University, Almaty, Kazakhstan
  • Madiyarova Kuralay Zeynollaevna Ph.D. in Economics, Associate Professor of Digital Technologies, arxoz University, Almaty, Kazakhstan
  • Balkhybekova Korkem Satylkhanovna Doctoral student (DBA program), Almaty Management University, Almaty, Kazakhstan

Keywords:

ESG risk management, carbon footprint, systems engineering, mining operations, Quality Function Deployment

Abstract

This paper proposes an integrated framework for managing ESG risks and quantifying the carbon footprint of key technological processes in mining operations. By combining Enterprise Risk Management (ERM) principles with carbon accounting standards (ISO 14064‑1), the model enables systematic identification, assessment, and mitigation of environmental, social, and governance risks. A Systems Engineering approach—leveraging Quality Function Deployment (QFD)—aligns stakeholder values with capital decision criteria and embeds carbon‑reduction objectives at the design stage. The framework was validated via case studies of open‑pit operations in Latin America, demonstrating up to 21 % reduction in CO₂ intensity and 24 % lower ESG risk exposure within 36 months. Key modules include an ESG Risk Identification engine, a Carbon Accounting suite, a QFD‑based Decision Support System, Stakeholder Engagement mechanisms, and Continuous Improvement loops. The proposed model contributes a replicable architecture for decarbonization and resilience in resource‑intensive industries

Published

2025-07-28

How to Cite

Rakhmanberdiev Azamat Gazizuly, Madiyarova Kuralay Zeynollaevna, & Balkhybekova Korkem Satylkhanovna. (2025). Integrated framework for ESG risk management and carbon footprint quantification in mining technological processes. European Research Materials, (10). Retrieved from https://ojs.publisher.agency/index.php/ERM/article/view/6617

Issue

Section

Economic Sciences