The effect of feed-in tariffs on the deployment of renewable energies
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/21157 |
Resumo: | This study intends to evaluate the relationship between the use of feed-in tariffs and the deployment of renewable energies. We collected a sample of 28 EU countries for the period 1990-2017. Following a panel data approach, we performed a random effects estimation. Among the several explanatory variables, feed-in tariffs, discriminated by different renewable energies’ technologies, are defined as the variables of interest in explaining the share of the electricity capacity generated by non-hydro renewable sources. The results suggest that only Wind and Waste impact the dependent variable allied to the share of electricity produced from both nuclear and fossil fuel sources and the prices of traditional energy sources. The previous findings are robust for OECD member countries and also for countries where feed-in tariffs are applied at least once in the period considered. |
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The effect of feed-in tariffs on the deployment of renewable energiesRenewable energiesFeed-in tariffsElectricity capacity generationRandom effectsEnergias renováveisTarifas feed-inGeração de capacidade de electricidadeEfeitos aleatóriosThis study intends to evaluate the relationship between the use of feed-in tariffs and the deployment of renewable energies. We collected a sample of 28 EU countries for the period 1990-2017. Following a panel data approach, we performed a random effects estimation. Among the several explanatory variables, feed-in tariffs, discriminated by different renewable energies’ technologies, are defined as the variables of interest in explaining the share of the electricity capacity generated by non-hydro renewable sources. The results suggest that only Wind and Waste impact the dependent variable allied to the share of electricity produced from both nuclear and fossil fuel sources and the prices of traditional energy sources. The previous findings are robust for OECD member countries and also for countries where feed-in tariffs are applied at least once in the period considered.Este estudo pretende avaliar a relação entre as tarifas feed-in e o desenvolvimento das energias renováveis. Selecionamos uma amostra de 28 países da UE cobrindo o período de 1990-2017. Para analisar os dados, adotamos uma abordagem de dados em painel realizando uma estimativa de efeitos aleatórios. Entre as diversas variáveis explicativas, os valores de tarifas feed-in discriminadas pelos diferentes tipos de tecnologia são definidos como as variáveis de interesse em explicar a parcela da capacidade elétrica gerada a partir de uma fonte renovável não hídrica. Os resultados sugerem que, das diferentes tecnologias em análise, apenas o Vento e os Resíduos impactam variável dependente, aliados à parcela da eletricidade gerada a partir de uma fonte de combustível nuclear e fóssil e dos preços das fontes tradicionais de energia. As conclusões anteriores são robustas para os países membros da OCDE e também para os países onde a tarifa feed-in é aplicada a pelo menos uma das tecnologias em análise.2021-12-03T00:00:00Z2020-12-03T00:00:00Z2020-12-032020-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/21157TID:202559599engOliveira, Margarida Ramalho Almeidainfo: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:RCAAP2023-11-09T17:41:02Zoai:repositorio.iscte-iul.pt:10071/21157Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:19:01.886363Repositório 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 |
The effect of feed-in tariffs on the deployment of renewable energies |
title |
The effect of feed-in tariffs on the deployment of renewable energies |
spellingShingle |
The effect of feed-in tariffs on the deployment of renewable energies Oliveira, Margarida Ramalho Almeida Renewable energies Feed-in tariffs Electricity capacity generation Random effects Energias renováveis Tarifas feed-in Geração de capacidade de electricidade Efeitos aleatórios |
title_short |
The effect of feed-in tariffs on the deployment of renewable energies |
title_full |
The effect of feed-in tariffs on the deployment of renewable energies |
title_fullStr |
The effect of feed-in tariffs on the deployment of renewable energies |
title_full_unstemmed |
The effect of feed-in tariffs on the deployment of renewable energies |
title_sort |
The effect of feed-in tariffs on the deployment of renewable energies |
author |
Oliveira, Margarida Ramalho Almeida |
author_facet |
Oliveira, Margarida Ramalho Almeida |
author_role |
author |
dc.contributor.author.fl_str_mv |
Oliveira, Margarida Ramalho Almeida |
dc.subject.por.fl_str_mv |
Renewable energies Feed-in tariffs Electricity capacity generation Random effects Energias renováveis Tarifas feed-in Geração de capacidade de electricidade Efeitos aleatórios |
topic |
Renewable energies Feed-in tariffs Electricity capacity generation Random effects Energias renováveis Tarifas feed-in Geração de capacidade de electricidade Efeitos aleatórios |
description |
This study intends to evaluate the relationship between the use of feed-in tariffs and the deployment of renewable energies. We collected a sample of 28 EU countries for the period 1990-2017. Following a panel data approach, we performed a random effects estimation. Among the several explanatory variables, feed-in tariffs, discriminated by different renewable energies’ technologies, are defined as the variables of interest in explaining the share of the electricity capacity generated by non-hydro renewable sources. The results suggest that only Wind and Waste impact the dependent variable allied to the share of electricity produced from both nuclear and fossil fuel sources and the prices of traditional energy sources. The previous findings are robust for OECD member countries and also for countries where feed-in tariffs are applied at least once in the period considered. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-03T00:00:00Z 2020-12-03 2020-11 2021-12-03T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/21157 TID:202559599 |
url |
http://hdl.handle.net/10071/21157 |
identifier_str_mv |
TID:202559599 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.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 |
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 |
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1799134749742071808 |