Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic Area

Detalhes bibliográficos
Autor(a) principal: Taboada, Guillermo L.
Data de Publicação: 2020
Outros Autores: Seruca, Isabel, Sousa, Cristina, Pereira, Ángeles
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/11328/3152
Resumo: This paper deals with the e ciency and sustainability of Construction and Demolition Waste (CDW) management in 30 Member States of the European Economic Area (EEA) (the 28 European Union countries plus Norway and Iceland) for the period 2010–2016 using Exploratory Data Analytics (EDA) and Data Envelopment Analysis (DEA). The first stage of the proposed methodology is EDA with already available (the CDW recovery rate) and suggested indicators (e.g., building stock characterization, dwelling occupancy ratio, macroeconomic ratios and CDW breakdown) to characterize the e ciency and sustainability of CDW management. The second stage is to assess the e ciency of countries using DEA through two original CDW production models, one for sustainability, measuring the e ciency of the construction sector for reducing itsCDW, and the second a model to score the e ciency of maximizing the CDW recovery rate. The main outcome of the paper is the proposed methodology, which is a candidate for replacing current indicators in order to evaluate the performance of CDW policy, due to is adaptive nature, promoting the continuous improvement and overcoming the limitations of the poor quality of metrics, data and parametric indicators. The methodology has been experimentally validated using Eurostat data for 30 Member States of EEA, ranking them according to the two DEA model scores, to point out the countries considered e cient among those of their scale, as a reference for sustainable and e cient practices.
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spelling Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic AreaThis paper deals with the e ciency and sustainability of Construction and Demolition Waste (CDW) management in 30 Member States of the European Economic Area (EEA) (the 28 European Union countries plus Norway and Iceland) for the period 2010–2016 using Exploratory Data Analytics (EDA) and Data Envelopment Analysis (DEA). The first stage of the proposed methodology is EDA with already available (the CDW recovery rate) and suggested indicators (e.g., building stock characterization, dwelling occupancy ratio, macroeconomic ratios and CDW breakdown) to characterize the e ciency and sustainability of CDW management. The second stage is to assess the e ciency of countries using DEA through two original CDW production models, one for sustainability, measuring the e ciency of the construction sector for reducing itsCDW, and the second a model to score the e ciency of maximizing the CDW recovery rate. The main outcome of the paper is the proposed methodology, which is a candidate for replacing current indicators in order to evaluate the performance of CDW policy, due to is adaptive nature, promoting the continuous improvement and overcoming the limitations of the poor quality of metrics, data and parametric indicators. The methodology has been experimentally validated using Eurostat data for 30 Member States of EEA, ranking them according to the two DEA model scores, to point out the countries considered e cient among those of their scale, as a reference for sustainable and e cient practices.MDPI2020-07-23T11:41:20Z2020-06-01T00:00:00Z2020-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11328/3152eng2071-105010.3390/su12124995Taboada, Guillermo L.Seruca, IsabelSousa, CristinaPereira, Ángelesinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-06-15T02:11:35ZPortal AgregadorONG
dc.title.none.fl_str_mv Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic Area
title Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic Area
spellingShingle Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic Area
Taboada, Guillermo L.
title_short Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic Area
title_full Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic Area
title_fullStr Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic Area
title_full_unstemmed Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic Area
title_sort Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic Area
author Taboada, Guillermo L.
author_facet Taboada, Guillermo L.
Seruca, Isabel
Sousa, Cristina
Pereira, Ángeles
author_role author
author2 Seruca, Isabel
Sousa, Cristina
Pereira, Ángeles
author2_role author
author
author
dc.contributor.author.fl_str_mv Taboada, Guillermo L.
Seruca, Isabel
Sousa, Cristina
Pereira, Ángeles
description This paper deals with the e ciency and sustainability of Construction and Demolition Waste (CDW) management in 30 Member States of the European Economic Area (EEA) (the 28 European Union countries plus Norway and Iceland) for the period 2010–2016 using Exploratory Data Analytics (EDA) and Data Envelopment Analysis (DEA). The first stage of the proposed methodology is EDA with already available (the CDW recovery rate) and suggested indicators (e.g., building stock characterization, dwelling occupancy ratio, macroeconomic ratios and CDW breakdown) to characterize the e ciency and sustainability of CDW management. The second stage is to assess the e ciency of countries using DEA through two original CDW production models, one for sustainability, measuring the e ciency of the construction sector for reducing itsCDW, and the second a model to score the e ciency of maximizing the CDW recovery rate. The main outcome of the paper is the proposed methodology, which is a candidate for replacing current indicators in order to evaluate the performance of CDW policy, due to is adaptive nature, promoting the continuous improvement and overcoming the limitations of the poor quality of metrics, data and parametric indicators. The methodology has been experimentally validated using Eurostat data for 30 Member States of EEA, ranking them according to the two DEA model scores, to point out the countries considered e cient among those of their scale, as a reference for sustainable and e cient practices.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-23T11:41:20Z
2020-06-01T00:00:00Z
2020-06
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/11328/3152
url http://hdl.handle.net/11328/3152
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2071-1050
10.3390/su12124995
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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