Dynamical analysis of the global business-cycle synchronization

Detalhes bibliográficos
Autor(a) principal: Lopes, António M.
Data de Publicação: 2018
Outros Autores: Machado, Jose Tenreiro, Huffstot, John, Mata, Maria Eugénia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/88603
Resumo: The authors received support from Nova School of Business and Economics and from Banco de Portugal. Additional funding was received from Fundação para a Ciência e a Tecnologia (UID/ECO/00124/2013 and Social Sciences DataLab, Project 22209), POR Lisboa (LISBOA-01-0145-FEDER-007722 and Social Sciences DataLab, Project 22209) and POR Norte (Social Sciences DataLab, Project 22209). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Data is available at World Bank national development indicators: http://data.worldbank.org/data-catalog/world-development-indicators.
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spelling Dynamical analysis of the global business-cycle synchronizationThe authors received support from Nova School of Business and Economics and from Banco de Portugal. Additional funding was received from Fundação para a Ciência e a Tecnologia (UID/ECO/00124/2013 and Social Sciences DataLab, Project 22209), POR Lisboa (LISBOA-01-0145-FEDER-007722 and Social Sciences DataLab, Project 22209) and POR Norte (Social Sciences DataLab, Project 22209). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Data is available at World Bank national development indicators: http://data.worldbank.org/data-catalog/world-development-indicators.This paper reports the dynamical analysis of the business cycles of 12 (developed and developing) countries over the last 56 years by applying computational techniques used for tackling complex systems. They reveal long-term convergence and country-level interconnections because of close contagion effects caused by bilateral networking exposure. Interconnectivity determines the magnitude of cross-border impacts. Local features and shock propagation complexity also may be true engines for local configuration of cycles. The algorithmic modeling proves to represent a solid approach to study the complex dynamics involved in the world economies.NOVA School of Business and Economics (NOVA SBE)RUNLopes, António M.Machado, Jose TenreiroHuffstot, JohnMata, Maria Eugénia2019-11-27T23:14:02Z2018-022018-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/88603eng1932-6203PURE: 3610708https://doi.org/10.1371/journal.pone.0191491info: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:RCAAP2024-03-11T04:39:23Zoai:run.unl.pt:10362/88603Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:36:52.241293Repositório 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 Dynamical analysis of the global business-cycle synchronization
title Dynamical analysis of the global business-cycle synchronization
spellingShingle Dynamical analysis of the global business-cycle synchronization
Lopes, António M.
title_short Dynamical analysis of the global business-cycle synchronization
title_full Dynamical analysis of the global business-cycle synchronization
title_fullStr Dynamical analysis of the global business-cycle synchronization
title_full_unstemmed Dynamical analysis of the global business-cycle synchronization
title_sort Dynamical analysis of the global business-cycle synchronization
author Lopes, António M.
author_facet Lopes, António M.
Machado, Jose Tenreiro
Huffstot, John
Mata, Maria Eugénia
author_role author
author2 Machado, Jose Tenreiro
Huffstot, John
Mata, Maria Eugénia
author2_role author
author
author
dc.contributor.none.fl_str_mv NOVA School of Business and Economics (NOVA SBE)
RUN
dc.contributor.author.fl_str_mv Lopes, António M.
Machado, Jose Tenreiro
Huffstot, John
Mata, Maria Eugénia
description The authors received support from Nova School of Business and Economics and from Banco de Portugal. Additional funding was received from Fundação para a Ciência e a Tecnologia (UID/ECO/00124/2013 and Social Sciences DataLab, Project 22209), POR Lisboa (LISBOA-01-0145-FEDER-007722 and Social Sciences DataLab, Project 22209) and POR Norte (Social Sciences DataLab, Project 22209). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Data is available at World Bank national development indicators: http://data.worldbank.org/data-catalog/world-development-indicators.
publishDate 2018
dc.date.none.fl_str_mv 2018-02
2018-02-01T00:00:00Z
2019-11-27T23:14:02Z
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https://doi.org/10.1371/journal.pone.0191491
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