Environmental conflict analysis using an integrated grey clustering and entropy-weight method: A case study of a mining project in Peru. (March 2016)

• Record Type: Journal Article
• Authors: Delgado, Alexi; Romero, I.
• Is Part Of: Environmental modelling & software. Volume 77(2016:Mar.)
• Page Start: 108
• Page End: 121
• Publication Date: 2016-03
• Subjects: Grey clustering method -- Entropy-weight method -- Environmental conflict -- Social impact -- Mining project; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2015.12.011
• Languages: English
• ISSNs: 1364-8152

Abstract

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. Highlights: A new integrated method for environmental conflict analysis. The grey clustering method applied to quantify qualitative information. The entropy-weight method applied to identify divergent criteria. A case study of a mining project in northern Peru.