Abstract
AbstractA simple approach is proposed to study the main factors related to the mining activity’s impact on society, through a corporate social responsibility (CSR) qualitative analysis based on the type of raw materials extracted, either by mine site or firm. A CSR index is defined by 30 environmental and socioeconomic elements and, subsequently, it is weighted by three primary factors; the recycling rate, the transition to green energy, and geographical conditions. The proposed method is adaptable to any change in raw material needs over time and, depending on the analyzed country or region, is applicable to any type of mineral resource. The system can be used to drive engagement with the different stakeholders, add value to a project, and establish a CSR continuous improvement system.
Funder
Universitat Politècnica de Catalunya
Publisher
Springer Science and Business Media LLC
Reference55 articles.
1. Alves Dias, P., D. Blagoeva, C. Pavel, and N. Arvanitidis. 2018. Cobalt: Demand-supply balances in the transition to electric mobility. Publications Office of the European Union 6(10): 97710. https://doi.org/10.2760/97710.
2. Amighini A, Maurer A, Garnizova E, Hagemejer J, Stoll P, Dietrich M, Roy R, Skowronek A, &Tentori D. 2023. Global value chains: potential synergies between external trade policy and internal economic initiatives to address the strategic dependencies of the EU. Policy Department, Directorate-General for External Policies, Publications Office of the European Union. ISBN: 978-92-848-0310-1.
3. Atherton, J. 2007. Declaration by the metals industry on recycling principles. The International Journal of Life Cycle Assessment 12(1): 59–60. https://doi.org/10.1065/lca2006.11.283.
4. Bailey, R., B. Bras, and J.K. Allen. 2008. Measuring material cycling in industrial systems. Resources, Conservation and Recycling 52(4): 643–652.
5. Bakhtavar, E., R. Aghayarloo, S. Yousefi, K. Hewage, and R. Sadiq. 2019. Renewable energy based mine reclamation strategy: A hybrid fuzzy-based network analysis. Journal of Cleaner Production 230: 253–263. https://doi.org/10.1016/j.jclepro.2019.05.073.