Political leadership change: A theoretical assessment using a human capital “learning by doing” model

Detalhes bibliográficos
Autor(a) principal: Sousa, Miguel Rocha de
Data de Publicação: 2010
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/8471
Resumo: We present an economic growth model with human capital, based upon Arrow (1962), in which we assess the impact of political leadership change either in governments or political parties. The change of leadership might be seen as a change in embedded human capital, and thus we might evaluate the loss or gain for society due to these political activities. The approach is theoretical using Arrowian economic setting. We formulate the conditions in which it is worth it, or how long does it take to recover from a political leadership change. The embedded process is an economic one, known as “learning by doing”, but this time applied to political processes.
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spelling Political leadership change: A theoretical assessment using a human capital “learning by doing” modelArrow’s modelHuman capitalLearning by doing (LBD)Political leadershipRotation of leadersTime to recover from political leadership changeWe present an economic growth model with human capital, based upon Arrow (1962), in which we assess the impact of political leadership change either in governments or political parties. The change of leadership might be seen as a change in embedded human capital, and thus we might evaluate the loss or gain for society due to these political activities. The approach is theoretical using Arrowian economic setting. We formulate the conditions in which it is worth it, or how long does it take to recover from a political leadership change. The embedded process is an economic one, known as “learning by doing”, but this time applied to political processes.2013-04-03T11:30:43Z2013-04-032010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/8471http://hdl.handle.net/10174/8471engSousa, Miguel R.(2010), Political leadership change: A theoretical assessment using a human capital “learning by doing” model, Documento de Trabalho nº 2010/05, Universidade de Évora, Departamento de Economia.11mrsousa@uevora.ptJ24; O415_2010Universidade de Évora, Departmento de Economia e NICPRI-UESousa, Miguel Rocha deinfo: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:RCAAP2024-01-03T18:49:30Zoai:dspace.uevora.pt:10174/8471Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:02:42.870385Repositório 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 Political leadership change: A theoretical assessment using a human capital “learning by doing” model
title Political leadership change: A theoretical assessment using a human capital “learning by doing” model
spellingShingle Political leadership change: A theoretical assessment using a human capital “learning by doing” model
Sousa, Miguel Rocha de
Arrow’s model
Human capital
Learning by doing (LBD)
Political leadership
Rotation of leaders
Time to recover from political leadership change
title_short Political leadership change: A theoretical assessment using a human capital “learning by doing” model
title_full Political leadership change: A theoretical assessment using a human capital “learning by doing” model
title_fullStr Political leadership change: A theoretical assessment using a human capital “learning by doing” model
title_full_unstemmed Political leadership change: A theoretical assessment using a human capital “learning by doing” model
title_sort Political leadership change: A theoretical assessment using a human capital “learning by doing” model
author Sousa, Miguel Rocha de
author_facet Sousa, Miguel Rocha de
author_role author
dc.contributor.author.fl_str_mv Sousa, Miguel Rocha de
dc.subject.por.fl_str_mv Arrow’s model
Human capital
Learning by doing (LBD)
Political leadership
Rotation of leaders
Time to recover from political leadership change
topic Arrow’s model
Human capital
Learning by doing (LBD)
Political leadership
Rotation of leaders
Time to recover from political leadership change
description We present an economic growth model with human capital, based upon Arrow (1962), in which we assess the impact of political leadership change either in governments or political parties. The change of leadership might be seen as a change in embedded human capital, and thus we might evaluate the loss or gain for society due to these political activities. The approach is theoretical using Arrowian economic setting. We formulate the conditions in which it is worth it, or how long does it take to recover from a political leadership change. The embedded process is an economic one, known as “learning by doing”, but this time applied to political processes.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01T00:00:00Z
2013-04-03T11:30:43Z
2013-04-03
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/10174/8471
http://hdl.handle.net/10174/8471
url http://hdl.handle.net/10174/8471
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sousa, Miguel R.(2010), Political leadership change: A theoretical assessment using a human capital “learning by doing” model, Documento de Trabalho nº 2010/05, Universidade de Évora, Departamento de Economia.
11
mrsousa@uevora.pt
J24; O41
5_2010
Universidade de Évora, Departmento de Economia e NICPRI-UE
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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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