Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic Area
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , |
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. |
id |
RCAP_2b0c30437684f31963be84fdba3b5525 |
---|---|
oai_identifier_str |
oai:repositorio.uportu.pt:11328/3152 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
|
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 |
format |
article |
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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1777302554325024768 |