Testing competing destinations gravity models – evidence from BRIC international

Detalhes bibliográficos
Autor(a) principal: de Mello-Sampayo, F.
Data de Publicação: 2017
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/12766
Resumo: This paper derives and compares two competing-destinations formulation of the gravity model applied to trade in intermediates. We build a probabilistic input demand function from entropy maximization in which firms may purchase some of their inputs from other firms paying the required transport costs and accounting for the spatial structure of trading partners in a geographical system. In the second model, firms trade inputs to reduce the overall cost of production and intermediate sales are encouraged by low distance costs and low competition from alternative input sources. Even if the gravity equations look similar, we show that their underlying structures are different, and that the type of gravity equation has significant implications for the estimation technique adopted.
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spelling Testing competing destinations gravity models – evidence from BRIC internationalGravity modelTrade in intermediatesPoisson regressionThis paper derives and compares two competing-destinations formulation of the gravity model applied to trade in intermediates. We build a probabilistic input demand function from entropy maximization in which firms may purchase some of their inputs from other firms paying the required transport costs and accounting for the spatial structure of trading partners in a geographical system. In the second model, firms trade inputs to reduce the overall cost of production and intermediate sales are encouraged by low distance costs and low competition from alternative input sources. Even if the gravity equations look similar, we show that their underlying structures are different, and that the type of gravity equation has significant implications for the estimation technique adopted.Routledge/Taylor and Francis2017-04-05T13:25:50Z2017-01-01T00:00:00Z20172019-03-21T16:25:50Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/12766eng0963-819910.1080/09638199.2016.1239752de Mello-Sampayo, F.info: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:RCAAP2024-07-07T03:59:26Zoai:repositorio.iscte-iul.pt:10071/12766Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-07-07T03:59:26Repositório 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 Testing competing destinations gravity models – evidence from BRIC international
title Testing competing destinations gravity models – evidence from BRIC international
spellingShingle Testing competing destinations gravity models – evidence from BRIC international
de Mello-Sampayo, F.
Gravity model
Trade in intermediates
Poisson regression
title_short Testing competing destinations gravity models – evidence from BRIC international
title_full Testing competing destinations gravity models – evidence from BRIC international
title_fullStr Testing competing destinations gravity models – evidence from BRIC international
title_full_unstemmed Testing competing destinations gravity models – evidence from BRIC international
title_sort Testing competing destinations gravity models – evidence from BRIC international
author de Mello-Sampayo, F.
author_facet de Mello-Sampayo, F.
author_role author
dc.contributor.author.fl_str_mv de Mello-Sampayo, F.
dc.subject.por.fl_str_mv Gravity model
Trade in intermediates
Poisson regression
topic Gravity model
Trade in intermediates
Poisson regression
description This paper derives and compares two competing-destinations formulation of the gravity model applied to trade in intermediates. We build a probabilistic input demand function from entropy maximization in which firms may purchase some of their inputs from other firms paying the required transport costs and accounting for the spatial structure of trading partners in a geographical system. In the second model, firms trade inputs to reduce the overall cost of production and intermediate sales are encouraged by low distance costs and low competition from alternative input sources. Even if the gravity equations look similar, we show that their underlying structures are different, and that the type of gravity equation has significant implications for the estimation technique adopted.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-05T13:25:50Z
2017-01-01T00:00:00Z
2017
2019-03-21T16:25:50Z
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/10071/12766
url http://hdl.handle.net/10071/12766
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0963-8199
10.1080/09638199.2016.1239752
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Routledge/Taylor and Francis
publisher.none.fl_str_mv Routledge/Taylor and Francis
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
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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