Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/10400.6/11234 |
Resumo: | This study aims to evaluate the economic and environmental efficiency of Asian and African economies. In the model proposed, Gross Domestic Product (GDP) is considered as the desired output and Greenhouse Gases (GHG), like carbon dioxide (CO2) emissions, as the undesirable output. Capital, labor, fossil fuels, and renewable energy consumption are regarded as inputs, and the GDP/CO2 ratio is the output, by using a log-linear Translog production function and using data from 2005 until 2018, including 22 Asian and 22 African countries. Results evidence cross-countries heterogeneity among production inputs, namely labor, capital, and type of energy use and its efficiency. The models complement each other and are based on different distributional assumptions and estimation methods while providing a picture of Eco-efficiency in Asian and African economies. Labor and renewable energy share increase technical Eco-efficiency, while fixed capital decreases it under time-variant models. Technical improvements in Eco-efficiency are verified through time considering the time variable into the model estimations, replacing fossil fuels with renewable sources. An inverted U-shaped Eco-efficiency function is found concerning the share of fossil fuel consumption. Important policy implications are drawn from the results regarding the empirical results. |
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Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier AnalysisEconomic growthResource efficiencyEnvironmental efficiencyAsian economiesAfrican economiesEfficiency scoresEco-efficiencyThis study aims to evaluate the economic and environmental efficiency of Asian and African economies. In the model proposed, Gross Domestic Product (GDP) is considered as the desired output and Greenhouse Gases (GHG), like carbon dioxide (CO2) emissions, as the undesirable output. Capital, labor, fossil fuels, and renewable energy consumption are regarded as inputs, and the GDP/CO2 ratio is the output, by using a log-linear Translog production function and using data from 2005 until 2018, including 22 Asian and 22 African countries. Results evidence cross-countries heterogeneity among production inputs, namely labor, capital, and type of energy use and its efficiency. The models complement each other and are based on different distributional assumptions and estimation methods while providing a picture of Eco-efficiency in Asian and African economies. Labor and renewable energy share increase technical Eco-efficiency, while fixed capital decreases it under time-variant models. Technical improvements in Eco-efficiency are verified through time considering the time variable into the model estimations, replacing fossil fuels with renewable sources. An inverted U-shaped Eco-efficiency function is found concerning the share of fossil fuel consumption. Important policy implications are drawn from the results regarding the empirical results.MDPIuBibliorumMoutinho, VictorMadaleno, Mara2021-10-28T11:00:20Z2021-022021-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/11234engMoutinho, V., & Madaleno, M. (2021b). Assessing eco-efficiency in Asian and African countries using Stochastic Frontier Analysis. Energies, 14(4), 1168. https://doi.org/10.3390/en1404116810.3390/en14041168info: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:RCAAP2024-11-27T12:36:20Zoai:ubibliorum.ubi.pt:10400.6/11234Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-27T12:36:20Repositório 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 |
Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis |
title |
Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis |
spellingShingle |
Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis Moutinho, Victor Economic growth Resource efficiency Environmental efficiency Asian economies African economies Efficiency scores Eco-efficiency |
title_short |
Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis |
title_full |
Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis |
title_fullStr |
Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis |
title_full_unstemmed |
Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis |
title_sort |
Assessing Eco-Efficiency in Asian and African Countries Using Stochastic Frontier Analysis |
author |
Moutinho, Victor |
author_facet |
Moutinho, Victor Madaleno, Mara |
author_role |
author |
author2 |
Madaleno, Mara |
author2_role |
author |
dc.contributor.none.fl_str_mv |
uBibliorum |
dc.contributor.author.fl_str_mv |
Moutinho, Victor Madaleno, Mara |
dc.subject.por.fl_str_mv |
Economic growth Resource efficiency Environmental efficiency Asian economies African economies Efficiency scores Eco-efficiency |
topic |
Economic growth Resource efficiency Environmental efficiency Asian economies African economies Efficiency scores Eco-efficiency |
description |
This study aims to evaluate the economic and environmental efficiency of Asian and African economies. In the model proposed, Gross Domestic Product (GDP) is considered as the desired output and Greenhouse Gases (GHG), like carbon dioxide (CO2) emissions, as the undesirable output. Capital, labor, fossil fuels, and renewable energy consumption are regarded as inputs, and the GDP/CO2 ratio is the output, by using a log-linear Translog production function and using data from 2005 until 2018, including 22 Asian and 22 African countries. Results evidence cross-countries heterogeneity among production inputs, namely labor, capital, and type of energy use and its efficiency. The models complement each other and are based on different distributional assumptions and estimation methods while providing a picture of Eco-efficiency in Asian and African economies. Labor and renewable energy share increase technical Eco-efficiency, while fixed capital decreases it under time-variant models. Technical improvements in Eco-efficiency are verified through time considering the time variable into the model estimations, replacing fossil fuels with renewable sources. An inverted U-shaped Eco-efficiency function is found concerning the share of fossil fuel consumption. Important policy implications are drawn from the results regarding the empirical results. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-28T11:00:20Z 2021-02 2021-02-01T00:00:00Z |
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/10400.6/11234 |
url |
http://hdl.handle.net/10400.6/11234 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Moutinho, V., & Madaleno, M. (2021b). Assessing eco-efficiency in Asian and African countries using Stochastic Frontier Analysis. Energies, 14(4), 1168. https://doi.org/10.3390/en14041168 10.3390/en14041168 |
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 |
MDPI |
publisher.none.fl_str_mv |
MDPI |
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 |
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1817549657142722560 |