Assessing the circular economy disparities across european countries

Detalhes bibliográficos
Autor(a) principal: Silva, Ana Colaço
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/145540
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
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spelling Assessing the circular economy disparities across european countriesCircular economyEuropean UnionSustainabilityProductivityFactor analysisCluster analysisDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementThe circular economy is gaining traction as a way to strike a balance between economic growth and environmental sustainability. The European Union (EU) in particular has high hopes of increasing competitiveness, promoting economic growth and, in the meantime, decreasing environmental consequences and resource dependency. This study analyses the circular economy, between and within the European Union 27, using data covering the years from 2015 to 2019. Giving the multidimensionality of the circular economy phenomenon and the number of observations for this study, multivariate statistical methods were applied, namely a factor and a cluster analysis. The results led us into two main circularity dimensions - sustainability and productivity - and three groups of EU countries – optimizers, sustainable and laggards. We find that there are discrepancies in the European Union's implementation of circular economy. Findings suggest that while the European gap in circular economy is narrowing in one dimension – productivity – it appears to be widening in another – sustainability. Furthermore, countries have yet to strike a balance between sustainability and productivity dimensions, meaning that efforts should be made to achieve homogeneous progress, focusing on all economic sectors.Jesus, Frederico Miguel Campos Cruz Ribeiro deRUNSilva, Ana Colaço2022-11-15T18:20:05Z2022-10-252022-10-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/145540TID:203126114enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:26:03Zoai:run.unl.pt:10362/145540Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:08.518998Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Assessing the circular economy disparities across european countries
title Assessing the circular economy disparities across european countries
spellingShingle Assessing the circular economy disparities across european countries
Silva, Ana Colaço
Circular economy
European Union
Sustainability
Productivity
Factor analysis
Cluster analysis
title_short Assessing the circular economy disparities across european countries
title_full Assessing the circular economy disparities across european countries
title_fullStr Assessing the circular economy disparities across european countries
title_full_unstemmed Assessing the circular economy disparities across european countries
title_sort Assessing the circular economy disparities across european countries
author Silva, Ana Colaço
author_facet Silva, Ana Colaço
author_role author
dc.contributor.none.fl_str_mv Jesus, Frederico Miguel Campos Cruz Ribeiro de
RUN
dc.contributor.author.fl_str_mv Silva, Ana Colaço
dc.subject.por.fl_str_mv Circular economy
European Union
Sustainability
Productivity
Factor analysis
Cluster analysis
topic Circular economy
European Union
Sustainability
Productivity
Factor analysis
Cluster analysis
description Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
publishDate 2022
dc.date.none.fl_str_mv 2022-11-15T18:20:05Z
2022-10-25
2022-10-25T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/145540
TID:203126114
url http://hdl.handle.net/10362/145540
identifier_str_mv TID:203126114
dc.language.iso.fl_str_mv eng
language eng
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