AI, Demand and the Impact of Productivity-enhancing Technology on Jobs: Evidence from Portugal
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/10316/104542 https://doi.org/10.1080/00128775.2022.2064307 |
Resumo: | This study examines whether AI, as revealed in productivity improvements, may have the ability to threaten sectoral employment in Portugal. We first present a theoretical framework based on a supply and demand model for sectoral output. This model predicts that the impact of AI will depend on the response of labor demand to two opposing forces: as productivity improves less labor is required to produce the same output, while more output is demanded because of lower production costs brought about by higher productivity, which creates more jobs. Our estimates of the industry-level elasticities of employment with respect to productivity for a sample of 32 industries over 1995-2017 using a Bayesian multilevel approach are all negative and surprisingly similar across sectors. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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AI, Demand and the Impact of Productivity-enhancing Technology on Jobs: Evidence from PortugalThis study examines whether AI, as revealed in productivity improvements, may have the ability to threaten sectoral employment in Portugal. We first present a theoretical framework based on a supply and demand model for sectoral output. This model predicts that the impact of AI will depend on the response of labor demand to two opposing forces: as productivity improves less labor is required to produce the same output, while more output is demanded because of lower production costs brought about by higher productivity, which creates more jobs. Our estimates of the industry-level elasticities of employment with respect to productivity for a sample of 32 industries over 1995-2017 using a Bayesian multilevel approach are all negative and surprisingly similar across sectors.2022-04-222023-10-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/104542http://hdl.handle.net/10316/104542https://doi.org/10.1080/00128775.2022.2064307eng0012-87751557-9298https://www.tandfonline.com/doi/abs/10.1080/00128775.2022.2064307Bação, PedroGaudêncio Lopes, VanessaSimões, Martainfo: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:RCAAP2023-10-27T11:11:25Zoai:estudogeral.uc.pt:10316/104542Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:21:14.206473Repositório 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 |
AI, Demand and the Impact of Productivity-enhancing Technology on Jobs: Evidence from Portugal |
title |
AI, Demand and the Impact of Productivity-enhancing Technology on Jobs: Evidence from Portugal |
spellingShingle |
AI, Demand and the Impact of Productivity-enhancing Technology on Jobs: Evidence from Portugal Bação, Pedro |
title_short |
AI, Demand and the Impact of Productivity-enhancing Technology on Jobs: Evidence from Portugal |
title_full |
AI, Demand and the Impact of Productivity-enhancing Technology on Jobs: Evidence from Portugal |
title_fullStr |
AI, Demand and the Impact of Productivity-enhancing Technology on Jobs: Evidence from Portugal |
title_full_unstemmed |
AI, Demand and the Impact of Productivity-enhancing Technology on Jobs: Evidence from Portugal |
title_sort |
AI, Demand and the Impact of Productivity-enhancing Technology on Jobs: Evidence from Portugal |
author |
Bação, Pedro |
author_facet |
Bação, Pedro Gaudêncio Lopes, Vanessa Simões, Marta |
author_role |
author |
author2 |
Gaudêncio Lopes, Vanessa Simões, Marta |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Bação, Pedro Gaudêncio Lopes, Vanessa Simões, Marta |
description |
This study examines whether AI, as revealed in productivity improvements, may have the ability to threaten sectoral employment in Portugal. We first present a theoretical framework based on a supply and demand model for sectoral output. This model predicts that the impact of AI will depend on the response of labor demand to two opposing forces: as productivity improves less labor is required to produce the same output, while more output is demanded because of lower production costs brought about by higher productivity, which creates more jobs. Our estimates of the industry-level elasticities of employment with respect to productivity for a sample of 32 industries over 1995-2017 using a Bayesian multilevel approach are all negative and surprisingly similar across sectors. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-22 2023-10-19T00:00:00Z |
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/10316/104542 http://hdl.handle.net/10316/104542 https://doi.org/10.1080/00128775.2022.2064307 |
url |
http://hdl.handle.net/10316/104542 https://doi.org/10.1080/00128775.2022.2064307 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0012-8775 1557-9298 https://www.tandfonline.com/doi/abs/10.1080/00128775.2022.2064307 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
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 |
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