Exploratory Data Analysis and Data Envelopment Analysis of Construction and Demolition Waste Management in the European Economic Area
[Abstract] This paper deals with the efficiency 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) a...
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Online Access: | http://hdl.handle.net/2183/25955 https://doi.org/10.3390/su12124995 |
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ftunivcoruna:oai:ruc.udc.es:2183/25955 2023-05-15T16:52:02+02:00 Exploratory Data Analysis and Data Envelopment Analysis of Construction and Demolition Waste Management in the European Economic Area Taboada, Guillermo L. Seruca, Isabel Sousa, Cristina Pereira, Ángeles 2020-06-18 http://hdl.handle.net/2183/25955 https://doi.org/10.3390/su12124995 eng eng M D P I AG https://doi.org/10.3390/su12124995 Taboada, G.L.; Seruca, I.; Sousa, C.; Pereira, Á. Exploratory Data Analysis and Data Envelopment Analysis of Construction and Demolition Waste Management in the European Economic Area. Sustainability 2020, 12, 4995. 2071-1050 http://hdl.handle.net/2183/25955 Atribución 4.0 España http://creativecommons.org/licenses/by/4.0/es/ info:eu-repo/semantics/openAccess CC-BY Construction and Demolition Waste (CDW) Exploratory Data Analytics (EDA) Sustainable CDW management Efficient CDW management Data Envelopment Analysis (DEA) info:eu-repo/semantics/article 2020 ftunivcoruna https://doi.org/10.3390/su12124995 2021-12-30T14:13:37Z [Abstract] This paper deals with the efficiency 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 efficiency and sustainability of CDW management. The second stage is to assess the efficiency of countries using DEA through two original CDW production models, one for sustainability, measuring the efficiency of the construction sector for reducing its CDW, and the second a model to score the efficiency 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 efficient among those of their scale, as a reference for sustainable and efficient practices. Ministerio de Economía, Industria y Competitividad; TIN2016-75845-P Ministerio de Economía, Industria y Competitividad; SNEO-20161147 Xunta de Galicia; ED431G2019/01 Xunta de Galicia; ED431C 2017/04 Article in Journal/Newspaper Iceland RUC - Repositorio Universidade Coruña Norway Sustainability 12 12 4995 |
institution |
Open Polar |
collection |
RUC - Repositorio Universidade Coruña |
op_collection_id |
ftunivcoruna |
language |
English |
topic |
Construction and Demolition Waste (CDW) Exploratory Data Analytics (EDA) Sustainable CDW management Efficient CDW management Data Envelopment Analysis (DEA) |
spellingShingle |
Construction and Demolition Waste (CDW) Exploratory Data Analytics (EDA) Sustainable CDW management Efficient CDW management Data Envelopment Analysis (DEA) Taboada, Guillermo L. Seruca, Isabel Sousa, Cristina Pereira, Ángeles Exploratory Data Analysis and Data Envelopment Analysis of Construction and Demolition Waste Management in the European Economic Area |
topic_facet |
Construction and Demolition Waste (CDW) Exploratory Data Analytics (EDA) Sustainable CDW management Efficient CDW management Data Envelopment Analysis (DEA) |
description |
[Abstract] This paper deals with the efficiency 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 efficiency and sustainability of CDW management. The second stage is to assess the efficiency of countries using DEA through two original CDW production models, one for sustainability, measuring the efficiency of the construction sector for reducing its CDW, and the second a model to score the efficiency 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 efficient among those of their scale, as a reference for sustainable and efficient practices. Ministerio de Economía, Industria y Competitividad; TIN2016-75845-P Ministerio de Economía, Industria y Competitividad; SNEO-20161147 Xunta de Galicia; ED431G2019/01 Xunta de Galicia; ED431C 2017/04 |
format |
Article in Journal/Newspaper |
author |
Taboada, Guillermo L. Seruca, Isabel Sousa, Cristina Pereira, Ángeles |
author_facet |
Taboada, Guillermo L. Seruca, Isabel Sousa, Cristina Pereira, Ángeles |
author_sort |
Taboada, Guillermo L. |
title |
Exploratory Data Analysis and Data Envelopment Analysis of Construction and Demolition Waste Management in the European Economic Area |
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 |
publisher |
M D P I AG |
publishDate |
2020 |
url |
http://hdl.handle.net/2183/25955 https://doi.org/10.3390/su12124995 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
https://doi.org/10.3390/su12124995 Taboada, G.L.; Seruca, I.; Sousa, C.; Pereira, Á. Exploratory Data Analysis and Data Envelopment Analysis of Construction and Demolition Waste Management in the European Economic Area. Sustainability 2020, 12, 4995. 2071-1050 http://hdl.handle.net/2183/25955 |
op_rights |
Atribución 4.0 España http://creativecommons.org/licenses/by/4.0/es/ info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/su12124995 |
container_title |
Sustainability |
container_volume |
12 |
container_issue |
12 |
container_start_page |
4995 |
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1766042161914052608 |