AI, Demand and the Impact of Productivity-enhancing Technology on Jobs: Evidence from Portugal

Detalhes bibliográficos
Autor(a) principal: Bação, Pedro
Data de Publicação: 2022
Outros Autores: Gaudêncio Lopes, Vanessa, Simões, Marta
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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spelling 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
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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
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https://www.tandfonline.com/doi/abs/10.1080/00128775.2022.2064307
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