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dc.contributor.authorDelgado, Alexi
dc.contributor.authorRomero, Inmaculada
dc.date.accessioned2019-08-03T20:44:05Z
dc.date.available2019-08-03T20:44:05Z
dc.date.issued2016-03
dc.identifier.citationDelgado, A., & Romero, I. (2016). Environmental conflict analysis using an integrated grey clustering and entropy-weight method: A case study of a mining project in Peru. Environmental Modelling & Software, 77, 108-121.en_PE
dc.identifier.issn1364-8152
dc.identifier.urihttp://repositorio.uch.edu.pe/handle/uch/313
dc.identifier.urihttps://doi.org/10.1016/j.envsoft.2015.12.011
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1364815215301250
dc.description.abstractEnvironmental 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.en
dc.formatapplication/pdf
dc.language.isoeng
dc.publisherElsevier Ltden_PE
dc.relationinfo:eu-repo/semantics/articleen_PE
dc.relation.isPartOfEnvironmental Modelling and Software
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.sourceRepositorio Institucional - UCHen_PE
dc.sourceUniversidad de Ciencias y Humanidadesen_PE
dc.subjectCluster analysisen
dc.subjectEnvironmental changeen
dc.subjectEnvironmental managementen
dc.subjectFuzzy mathematicsen
dc.subjectIntegrated approachen
dc.subjectMiningen
dc.subjectProject assessmenten
dc.subjectQuestionnaire surveyen
dc.subjectRural populationen
dc.subjectSocial impacten
dc.subjectSpecialisten
dc.subjectStakeholderen
dc.subjectUrban populationen
dc.subjectWelfare reformen
dc.titleEnvironmental conflict analysis using an integrated grey clustering and entropy-weight method: A case study of a mining project in Peruen_PE
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.envsoft.2015.12.011en_PE
dc.identifier.journalEnvironmental Modelling and Softwareen_PE
dc.identifier.scopus2-s2.0-84951264353
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