Technology structure and skill Structure: costly investment and complementarity effects quantification.

Detalhes bibliográficos
Autor(a) principal: Sochirca, Elena
Data de Publicação: 2014
Outros Autores: Afonso, Óscar, Gil, Pedro Mazeda
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/11328/778
Resumo: Based on an extended model of endogenous directed technical change and on cross-country data, we identify and quantify the long-run link between: (i) the technology structure (high- versus low-tech sectors) and the skill structure (high- versus low-skilled workers), by considering an explicit role for the (potential) com- plementarity between technological goods; (ii) the Tobin-q and the technology characteristics of the rms through their impact on economic growth. Our es- timation and calibration exercise suggests the existence of a moderate degree of complementarity and of an elastic relationship between the Tobin-q and key tech- nology parameters.
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spelling Technology structure and skill Structure: costly investment and complementarity effects quantification.High-techLow-techSkillsComplementarityTobin-qTechnological-knowledge biasBased on an extended model of endogenous directed technical change and on cross-country data, we identify and quantify the long-run link between: (i) the technology structure (high- versus low-tech sectors) and the skill structure (high- versus low-skilled workers), by considering an explicit role for the (potential) com- plementarity between technological goods; (ii) the Tobin-q and the technology characteristics of the rms through their impact on economic growth. Our es- timation and calibration exercise suggests the existence of a moderate degree of complementarity and of an elastic relationship between the Tobin-q and key tech- nology parameters.2014-06-13T13:33:41Z2014-01-01T00:00:00Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11328/778eng0164-0704Sochirca, ElenaAfonso, ÓscarGil, Pedro Mazedainfo: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:RCAAP2023-06-15T02:09:02ZPortal AgregadorONG
dc.title.none.fl_str_mv Technology structure and skill Structure: costly investment and complementarity effects quantification.
title Technology structure and skill Structure: costly investment and complementarity effects quantification.
spellingShingle Technology structure and skill Structure: costly investment and complementarity effects quantification.
Sochirca, Elena
High-tech
Low-tech
Skills
Complementarity
Tobin-q
Technological-knowledge bias
title_short Technology structure and skill Structure: costly investment and complementarity effects quantification.
title_full Technology structure and skill Structure: costly investment and complementarity effects quantification.
title_fullStr Technology structure and skill Structure: costly investment and complementarity effects quantification.
title_full_unstemmed Technology structure and skill Structure: costly investment and complementarity effects quantification.
title_sort Technology structure and skill Structure: costly investment and complementarity effects quantification.
author Sochirca, Elena
author_facet Sochirca, Elena
Afonso, Óscar
Gil, Pedro Mazeda
author_role author
author2 Afonso, Óscar
Gil, Pedro Mazeda
author2_role author
author
dc.contributor.author.fl_str_mv Sochirca, Elena
Afonso, Óscar
Gil, Pedro Mazeda
dc.subject.por.fl_str_mv High-tech
Low-tech
Skills
Complementarity
Tobin-q
Technological-knowledge bias
topic High-tech
Low-tech
Skills
Complementarity
Tobin-q
Technological-knowledge bias
description Based on an extended model of endogenous directed technical change and on cross-country data, we identify and quantify the long-run link between: (i) the technology structure (high- versus low-tech sectors) and the skill structure (high- versus low-skilled workers), by considering an explicit role for the (potential) com- plementarity between technological goods; (ii) the Tobin-q and the technology characteristics of the rms through their impact on economic growth. Our es- timation and calibration exercise suggests the existence of a moderate degree of complementarity and of an elastic relationship between the Tobin-q and key tech- nology parameters.
publishDate 2014
dc.date.none.fl_str_mv 2014-06-13T13:33:41Z
2014-01-01T00:00:00Z
2014
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0164-0704
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