Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector

Detalhes bibliográficos
Autor(a) principal: Henriques, C. O.
Data de Publicação: 2022
Outros Autores: Gouveia, C. M., Tenente, M., Silva, P. P. da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/99538
https://doi.org/10.1016/j.eap.2022.01.010
Resumo: This paper combines Value-Based Data Envelopment Analysis with Economic InputOutput tables to assess the eco-efficiency of the production and supply chains of the Electricity Sector in the European Union 28. We incorporate the preferences of a hypothetical decision-maker, assuming a value function that is framed in prospect theory, but with the zero-state employed as the reference state. Thus, the value functions used are normally concave for economic concerns and convex for environmental impacts. We therefore assume that some temporary and limited form of economic growth is expected from high-income countries, which enables low- and middle-income countries to meet their needs of economic growth. Furthermore, we consider that countries with already good environmental performance evaluate emission increases more critically. Overall, we concluded that Germany and France stand out, being at the top of efficient countries for all electricity chains. In general, the highest performance of eco-efficiency is attained by richer Western European countries and depends heavily on the Gross Value Added generated by the electricity sector. In contrast, most eco-inefficient electricity systems belong to low- and mid-income Eastern European countries and need to focus on improving their environmental performance. These findings are the result of the differing energy paths along the West-East European axis, and clearly envisage a shift on EU policy to specifically tackle the distinct attitudes towards the benefits of renewable energy.
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spelling Employing Value-Based DEA in the eco-efficiency assessment of the electricity sectorValue-Based Data Envelopment AnalysisEnvironmental extended Input–Output assessmentEco-efficiencyElectricity sector28 EU countriesThis paper combines Value-Based Data Envelopment Analysis with Economic InputOutput tables to assess the eco-efficiency of the production and supply chains of the Electricity Sector in the European Union 28. We incorporate the preferences of a hypothetical decision-maker, assuming a value function that is framed in prospect theory, but with the zero-state employed as the reference state. Thus, the value functions used are normally concave for economic concerns and convex for environmental impacts. We therefore assume that some temporary and limited form of economic growth is expected from high-income countries, which enables low- and middle-income countries to meet their needs of economic growth. Furthermore, we consider that countries with already good environmental performance evaluate emission increases more critically. Overall, we concluded that Germany and France stand out, being at the top of efficient countries for all electricity chains. In general, the highest performance of eco-efficiency is attained by richer Western European countries and depends heavily on the Gross Value Added generated by the electricity sector. In contrast, most eco-inefficient electricity systems belong to low- and mid-income Eastern European countries and need to focus on improving their environmental performance. These findings are the result of the differing energy paths along the West-East European axis, and clearly envisage a shift on EU policy to specifically tackle the distinct attitudes towards the benefits of renewable energy.E111-E588-9345 | Patrícia Pereira da SilvaN/AEconomic Society of Australia; Elsevier2022-032028-02-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/99538http://hdl.handle.net/10316/99538https://doi.org/10.1016/j.eap.2022.01.010eng0313-5926cv-prod-2942639Henriques, C. O.Gouveia, C. M.Tenente, M.Silva, P. P. dainfo: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:RCAAP2023-07-06T17:32:30ZPortal AgregadorONG
dc.title.none.fl_str_mv Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector
title Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector
spellingShingle Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector
Henriques, C. O.
Value-Based Data Envelopment Analysis
Environmental extended Input–Output assessment
Eco-efficiency
Electricity sector
28 EU countries
title_short Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector
title_full Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector
title_fullStr Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector
title_full_unstemmed Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector
title_sort Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector
author Henriques, C. O.
author_facet Henriques, C. O.
Gouveia, C. M.
Tenente, M.
Silva, P. P. da
author_role author
author2 Gouveia, C. M.
Tenente, M.
Silva, P. P. da
author2_role author
author
author
dc.contributor.author.fl_str_mv Henriques, C. O.
Gouveia, C. M.
Tenente, M.
Silva, P. P. da
dc.subject.por.fl_str_mv Value-Based Data Envelopment Analysis
Environmental extended Input–Output assessment
Eco-efficiency
Electricity sector
28 EU countries
topic Value-Based Data Envelopment Analysis
Environmental extended Input–Output assessment
Eco-efficiency
Electricity sector
28 EU countries
description This paper combines Value-Based Data Envelopment Analysis with Economic InputOutput tables to assess the eco-efficiency of the production and supply chains of the Electricity Sector in the European Union 28. We incorporate the preferences of a hypothetical decision-maker, assuming a value function that is framed in prospect theory, but with the zero-state employed as the reference state. Thus, the value functions used are normally concave for economic concerns and convex for environmental impacts. We therefore assume that some temporary and limited form of economic growth is expected from high-income countries, which enables low- and middle-income countries to meet their needs of economic growth. Furthermore, we consider that countries with already good environmental performance evaluate emission increases more critically. Overall, we concluded that Germany and France stand out, being at the top of efficient countries for all electricity chains. In general, the highest performance of eco-efficiency is attained by richer Western European countries and depends heavily on the Gross Value Added generated by the electricity sector. In contrast, most eco-inefficient electricity systems belong to low- and mid-income Eastern European countries and need to focus on improving their environmental performance. These findings are the result of the differing energy paths along the West-East European axis, and clearly envisage a shift on EU policy to specifically tackle the distinct attitudes towards the benefits of renewable energy.
publishDate 2022
dc.date.none.fl_str_mv 2022-03
2028-02-28T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/99538
http://hdl.handle.net/10316/99538
https://doi.org/10.1016/j.eap.2022.01.010
url http://hdl.handle.net/10316/99538
https://doi.org/10.1016/j.eap.2022.01.010
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0313-5926
cv-prod-2942639
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dc.publisher.none.fl_str_mv Economic Society of Australia; Elsevier
publisher.none.fl_str_mv Economic Society of Australia; Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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