Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/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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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:RCAAP2023-10-27T11:05:45Zoai:estudogeral.uc.pt:10316/99538Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:17:05.117896Repositório 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 |
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 |
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/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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799134066701762560 |