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Social perception assessment of hydropower sustainability: A stepwise logistic regression modeling

dc.contributor.authorCortés-Borda D
dc.contributor.authorPolanco J.-A
dc.contributor.authorEscobar-Sierra M.
dc.date.accessioned2022-09-14T14:34:07Z
dc.date.available2022-09-14T14:34:07Z
dc.date.created2022
dc.identifier.issn14629011
dc.identifier.urihttp://hdl.handle.net/11407/7569
dc.descriptionHydropower dams could benefit the three dimensions of sustainability of the river basins where they are deployed. However, experiences from large hydropower projects worldwide taught that large hydropower dams may cause serious social and environmental concerns that ultimately derive into public disapproval. Hydropower industries are increasingly aware that public support is a determining factor that could restrict the development of large hydropower projects, and hence industries have started to take action. Recently, a large hydropower industry from Colombia has implemented actions aimed at sustainability to improve the environmental and social welfare of territories without deviating from the business core. However, formulating effective sustainability policies that consider the different viewpoints of industrials, policymakers, and the general community is challenging. Hence, here we aim to identify cause-effect correlations between the impact management actions taken by the firm and the public perception of the impacts caused by two large hydropower dams in the Colombian Andes. To this end, we performed 50 stepwise logistic regressions between ad-hoc impact management perception indices (predictor variables) and impact perception variables (response variables). The data is based on a 25-question survey assessing the public perceptions of 694 respondents from two river basins and three social groups. Findings revealed 28 significant correlations between impacts and impact management, showing that the corporate actions for environmental protection play a crucial role in the public attitudes on sustainability. Our findings may provide guidelines to develop tailored policies aimed at sustainability in the hydropower sector of developing countries. © 2022eng
dc.language.isoeng
dc.publisherElsevier Ltd
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85128993229&doi=10.1016%2fj.envsci.2022.03.026&partnerID=40&md5=007b293def45a0e97520388e94d3d6cb
dc.sourceEnvironmental Science and Policy
dc.titleSocial perception assessment of hydropower sustainability: A stepwise logistic regression modeling
dc.typeArticle
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programAdministración de Empresas
dc.type.spaArtículo
dc.identifier.doi10.1016/j.envsci.2022.03.026
dc.subject.keywordDeveloping countrieseng
dc.subject.keywordHydropowereng
dc.subject.keywordLogistic modelseng
dc.subject.keywordPerceptioneng
dc.subject.keywordSustainabilityeng
dc.subject.keywordAdulteng
dc.subject.keywordAndeseng
dc.subject.keywordArticleeng
dc.subject.keywordColombiaeng
dc.subject.keywordDeveloping countryeng
dc.subject.keywordEnvironmental protectioneng
dc.subject.keywordFemaleeng
dc.subject.keywordhumaneng
dc.subject.keywordHuman experimenteng
dc.subject.keywordHydropowereng
dc.subject.keywordMajor clinical studyeng
dc.subject.keywordMaleeng
dc.subject.keywordPerceptioneng
dc.subject.keywordPractice guidelineeng
dc.subject.keywordPredictor variableeng
dc.subject.keywordResponse variableeng
dc.subject.keywordRiver basineng
dc.subject.keywordSocial welfareeng
dc.relation.citationvolume134
dc.relation.citationstartpage108
dc.relation.citationendpage118
dc.publisher.facultyFacultad de Ciencias Económicas y Administrativas
dc.affiliationCortés-Borda, D., Faculty of economic and administrative sciences, University of Medellin, Colombia
dc.affiliationPolanco, J.-A., Faculty of economic and administrative sciences, University of Medellin, Colombia
dc.affiliationEscobar-Sierra, M., Faculty of economic and administrative sciences, University of Medellin, Colombia
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