Environmental conflict analysis using an integrated grey clustering and entropy-weight method: A case study of a mining project in Peru |
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| Affiliation: | 1. Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain;2. Faculty of Science and Engineering, Universidad de Ciencias y Humanidades, Lima, Peru;1. Department of Ecotechnology and Sustainable Building Engineering, Mid Sweden University, Sweden;2. Laboratorio de Biotecnologia, UNAN-Managua, Nicaragua;1. Centre de Recherche Public – Gabriel Lippmann, Department “Environment and Agro-biotechnologies”, 41, rue du Brill, L-4422 Belvaux, Luxembourg;2. Université catholique de Louvain, Earth & Life Institute, Bioengineering, Croix du Sud 2, box L7.05.19, B-1348 Louvain-la-Neuve, Belgium;3. Centre Indépendant de Promotion Fourragère, Croix du Sud 2, box L7.05.11, B-1348 Louvain-la-Neuve, Belgium;4. Administration des Services Techniques de l’Agriculture, 16 route d’Esch, L-1019 Luxembourg, Luxembourg;5. Centre Wallon de Recherches Agronomiques, 24 chaussée de Namur, B-5030 Gembloux, Belgium;1. School of Statistics and Applied Mathematics, Anhui University of Finance & Economics, Bengbu, Anhui Province, China;2. School of Management, University of Science and Technology of China, Hefei, Anhui Province 230026, China;3. Depto. Ingenieria Industrial, Universidad de Talca, Chile |
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| Abstract: | Environmental conflict analysis (henceforth ECA) has become a key factor for the viability of projects and welfare of affected populations. In this study, we propose an approach for ECA using an integrated grey clustering and entropy-weight method (The IGCEW method). The case study considered a mining project in northern Peru. Three stakeholder groups and seven criteria were identified. The data were gathered by conducting field interviews. The results revealed that for the groups urban population, rural population and specialists, the project would have a positive, negative and normal social impact, respectively. We also noted that the criteria most likely to generate environmental conflicts in order of importance were: access to drinking water, poverty, GDP per capita and employment. These results could help regional and central governments to seek appropriate measures to prevent environmental conflicts. The proposed method showed practical results and a potential for application to other types of projects. |
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| Keywords: | Grey clustering method Entropy-weight method Environmental conflict Social impact Mining project |
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