Directed technological change, energy and more: a modern story
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
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/10071/20658 |
Resumo: | Reliance of modern economic activities on the use of energy, most of which still comes from non-renewable sources, provokes concerns regarding the most efficient utilization of energy inputs in production. While most theory expects directed technological change to be biased towards the non-renewable input, there is rare macro-level evidence that technological change is actually biased towards energy rather than other main inputs. To fill this gap, we apply stochastic frontier analysis to country data regarding output produced with capital, labor and energy, and estimate a set of indicators for technological change.Findings show that technological change is biased the most towards energy in general. In particular, although different groups of countries exhibit various patterns, there is strong evidence that technological change favors energy more than labor.This is in line with the theoretical expectation that technological change ought to be biased towards the non-renewable input rather than the renewable ones. |
id |
RCAP_a724490912f6449b43363956d1849826 |
---|---|
oai_identifier_str |
oai:repositorio.iscte-iul.pt:10071/20658 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Directed technological change, energy and more: a modern storyDirected technological changeEconomic growthEnergyStochastic frontier analysisReliance of modern economic activities on the use of energy, most of which still comes from non-renewable sources, provokes concerns regarding the most efficient utilization of energy inputs in production. While most theory expects directed technological change to be biased towards the non-renewable input, there is rare macro-level evidence that technological change is actually biased towards energy rather than other main inputs. To fill this gap, we apply stochastic frontier analysis to country data regarding output produced with capital, labor and energy, and estimate a set of indicators for technological change.Findings show that technological change is biased the most towards energy in general. In particular, although different groups of countries exhibit various patterns, there is strong evidence that technological change favors energy more than labor.This is in line with the theoretical expectation that technological change ought to be biased towards the non-renewable input rather than the renewable ones.Cambridge University Press2021-03-05T00:00:00Z2020-01-01T00:00:00Z20202020-11-26T16:02:37Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/20658eng1355-770X10.1017/S1355770X2000008XZheng, H.Roseta-Palma, C.Ramalho, J. J. S.info: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:RCAAP2023-11-09T17:54:50Zoai:repositorio.iscte-iul.pt:10071/20658Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:27:47.925667Repositório 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 |
Directed technological change, energy and more: a modern story |
title |
Directed technological change, energy and more: a modern story |
spellingShingle |
Directed technological change, energy and more: a modern story Zheng, H. Directed technological change Economic growth Energy Stochastic frontier analysis |
title_short |
Directed technological change, energy and more: a modern story |
title_full |
Directed technological change, energy and more: a modern story |
title_fullStr |
Directed technological change, energy and more: a modern story |
title_full_unstemmed |
Directed technological change, energy and more: a modern story |
title_sort |
Directed technological change, energy and more: a modern story |
author |
Zheng, H. |
author_facet |
Zheng, H. Roseta-Palma, C. Ramalho, J. J. S. |
author_role |
author |
author2 |
Roseta-Palma, C. Ramalho, J. J. S. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Zheng, H. Roseta-Palma, C. Ramalho, J. J. S. |
dc.subject.por.fl_str_mv |
Directed technological change Economic growth Energy Stochastic frontier analysis |
topic |
Directed technological change Economic growth Energy Stochastic frontier analysis |
description |
Reliance of modern economic activities on the use of energy, most of which still comes from non-renewable sources, provokes concerns regarding the most efficient utilization of energy inputs in production. While most theory expects directed technological change to be biased towards the non-renewable input, there is rare macro-level evidence that technological change is actually biased towards energy rather than other main inputs. To fill this gap, we apply stochastic frontier analysis to country data regarding output produced with capital, labor and energy, and estimate a set of indicators for technological change.Findings show that technological change is biased the most towards energy in general. In particular, although different groups of countries exhibit various patterns, there is strong evidence that technological change favors energy more than labor.This is in line with the theoretical expectation that technological change ought to be biased towards the non-renewable input rather than the renewable ones. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01T00:00:00Z 2020 2020-11-26T16:02:37Z 2021-03-05T00:00:00Z |
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/10071/20658 |
url |
http://hdl.handle.net/10071/20658 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1355-770X 10.1017/S1355770X2000008X |
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 |
Cambridge University Press |
publisher.none.fl_str_mv |
Cambridge University Press |
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 |
|
_version_ |
1799134840437604352 |