Economic-environmental efficiency of european agriculture: a generalized maximum entropy approach
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/10773/24654 |
Resumo: | The study aims to estimate the agricultural economic-environmental efficiency (eco-efficiency) for European countries. Eco-efficiency is obtained by the data envelopment analysis (DEA) and stochastic frontier analysis (SFA) using a generalized maximum entropy (GME) approach. Agriculture gross value added (GVA) is considered as the desirable output and greenhouse gas (GHG) emissions as the undesirable output. Capital, labour, land, energy and nutrients are regarded as inputs. The GVA/GHG ratio is the measure of eco-efficiency. The estimation was made for the years 2005 and 2010, which correspond to the 1st year of commitment to the Kyoto Protocol and the most recent year with information concerning all the variables in the study, and is a period that can allow us to see some changes after the agreement. The results show that in 2005, Austria, Slovenia, Hungary, the Netherlands and Portugal revealed the higher levels of eco-efficiency; and countries such as Estonia, Germany, Ireland, Latvia and Slovakia are the group with the lowest levels of eco-efficiency. In 2010, Bulgaria, Finland, Greece, the Netherlands and Portugal are the group of countries with the higher levels of eco-efficiency, while Denmark, Germany, Latvia, Romania and the United Kingdom are the group with the lowest levels of eco-efficiency. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Economic-environmental efficiency of european agriculture: a generalized maximum entropy approachAgricultureEconomic-environmental efficiencyEuropean countriesStochastic frontier analysisThe study aims to estimate the agricultural economic-environmental efficiency (eco-efficiency) for European countries. Eco-efficiency is obtained by the data envelopment analysis (DEA) and stochastic frontier analysis (SFA) using a generalized maximum entropy (GME) approach. Agriculture gross value added (GVA) is considered as the desirable output and greenhouse gas (GHG) emissions as the undesirable output. Capital, labour, land, energy and nutrients are regarded as inputs. The GVA/GHG ratio is the measure of eco-efficiency. The estimation was made for the years 2005 and 2010, which correspond to the 1st year of commitment to the Kyoto Protocol and the most recent year with information concerning all the variables in the study, and is a period that can allow us to see some changes after the agreement. The results show that in 2005, Austria, Slovenia, Hungary, the Netherlands and Portugal revealed the higher levels of eco-efficiency; and countries such as Estonia, Germany, Ireland, Latvia and Slovakia are the group with the lowest levels of eco-efficiency. In 2010, Bulgaria, Finland, Greece, the Netherlands and Portugal are the group of countries with the higher levels of eco-efficiency, while Denmark, Germany, Latvia, Romania and the United Kingdom are the group with the lowest levels of eco-efficiency.Czech Academy of Agricultural Sciences2018-11-16T14:49:18Z2018-01-01T00:00:00Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/24654eng0139-570X10.17221/45/2017-AGRICECONMoutinho, VictorRobaina, MargaritaMacedo, Pedroinfo: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:RCAAP2024-05-06T04:17:43Zoai:ria.ua.pt:10773/24654Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-06T04:17:43Repositório 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 |
Economic-environmental efficiency of european agriculture: a generalized maximum entropy approach |
title |
Economic-environmental efficiency of european agriculture: a generalized maximum entropy approach |
spellingShingle |
Economic-environmental efficiency of european agriculture: a generalized maximum entropy approach Moutinho, Victor Agriculture Economic-environmental efficiency European countries Stochastic frontier analysis |
title_short |
Economic-environmental efficiency of european agriculture: a generalized maximum entropy approach |
title_full |
Economic-environmental efficiency of european agriculture: a generalized maximum entropy approach |
title_fullStr |
Economic-environmental efficiency of european agriculture: a generalized maximum entropy approach |
title_full_unstemmed |
Economic-environmental efficiency of european agriculture: a generalized maximum entropy approach |
title_sort |
Economic-environmental efficiency of european agriculture: a generalized maximum entropy approach |
author |
Moutinho, Victor |
author_facet |
Moutinho, Victor Robaina, Margarita Macedo, Pedro |
author_role |
author |
author2 |
Robaina, Margarita Macedo, Pedro |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Moutinho, Victor Robaina, Margarita Macedo, Pedro |
dc.subject.por.fl_str_mv |
Agriculture Economic-environmental efficiency European countries Stochastic frontier analysis |
topic |
Agriculture Economic-environmental efficiency European countries Stochastic frontier analysis |
description |
The study aims to estimate the agricultural economic-environmental efficiency (eco-efficiency) for European countries. Eco-efficiency is obtained by the data envelopment analysis (DEA) and stochastic frontier analysis (SFA) using a generalized maximum entropy (GME) approach. Agriculture gross value added (GVA) is considered as the desirable output and greenhouse gas (GHG) emissions as the undesirable output. Capital, labour, land, energy and nutrients are regarded as inputs. The GVA/GHG ratio is the measure of eco-efficiency. The estimation was made for the years 2005 and 2010, which correspond to the 1st year of commitment to the Kyoto Protocol and the most recent year with information concerning all the variables in the study, and is a period that can allow us to see some changes after the agreement. The results show that in 2005, Austria, Slovenia, Hungary, the Netherlands and Portugal revealed the higher levels of eco-efficiency; and countries such as Estonia, Germany, Ireland, Latvia and Slovakia are the group with the lowest levels of eco-efficiency. In 2010, Bulgaria, Finland, Greece, the Netherlands and Portugal are the group of countries with the higher levels of eco-efficiency, while Denmark, Germany, Latvia, Romania and the United Kingdom are the group with the lowest levels of eco-efficiency. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11-16T14:49:18Z 2018-01-01T00:00:00Z 2018 |
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/10773/24654 |
url |
http://hdl.handle.net/10773/24654 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0139-570X 10.17221/45/2017-AGRICECON |
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 |
Czech Academy of Agricultural Sciences |
publisher.none.fl_str_mv |
Czech Academy of Agricultural Sciences |
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 |
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 |
mluisa.alvim@gmail.com |
_version_ |
1817543692572950528 |