Nigeria’s cocoa exports: a gravity model approach

Detalhes bibliográficos
Autor(a) principal: Abdullahi,Nazir Muhammad
Data de Publicação: 2021
Outros Autores: Shahriar,Saleh, Kea,Sokvibol, Abdullahi,Aminu Muhammad, Zhang,Qianggiang, Huo,Xuexi
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021001100952
Resumo: ABSTRACT: What are the major factors affecting Nigeria’s cocoa export flows? In answering this question, the authors suggest a commodity-specific gravity model with three different analytical approaches, (the Heckman Sample Selection Model, the Generalised Least Square, and the Poisson Pseudo Maximum Likelihood), based on a period of 24 years of panel data for Nigeria and it’s 36 importing partners to estimate the models. The results showed that GDP, exchange rate policy, WTO, EU, and colonial link are positively associated with the Nigerian cocoa export flows. Further, the negative impact of the GDP per capita, landlocked, distance, AU, and ECOWAS are observed. The need for the expansion of exports to the trading partners, especially the EU members (Netherlands, Germany, France, United Kingdom, Belgium, Spain, etc.), Canada, Malaysia, and the USA is particularly highlighted. These results are important for the formulation of future trade policy that could boost up the Nigerian cocoa exports. This would eventually contribute to the diversification of the Nigerian exports and also enhance the country’s foreign earnings.
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spelling Nigeria’s cocoa exports: a gravity model approachcocoa exportsHeckman section modelGeneralized least square (GLS)Poisson pseudo-maximum-likelihood (PPML)panel dataABSTRACT: What are the major factors affecting Nigeria’s cocoa export flows? In answering this question, the authors suggest a commodity-specific gravity model with three different analytical approaches, (the Heckman Sample Selection Model, the Generalised Least Square, and the Poisson Pseudo Maximum Likelihood), based on a period of 24 years of panel data for Nigeria and it’s 36 importing partners to estimate the models. The results showed that GDP, exchange rate policy, WTO, EU, and colonial link are positively associated with the Nigerian cocoa export flows. Further, the negative impact of the GDP per capita, landlocked, distance, AU, and ECOWAS are observed. The need for the expansion of exports to the trading partners, especially the EU members (Netherlands, Germany, France, United Kingdom, Belgium, Spain, etc.), Canada, Malaysia, and the USA is particularly highlighted. These results are important for the formulation of future trade policy that could boost up the Nigerian cocoa exports. This would eventually contribute to the diversification of the Nigerian exports and also enhance the country’s foreign earnings.Universidade Federal de Santa Maria2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021001100952Ciência Rural v.51 n.11 2021reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20201043info:eu-repo/semantics/openAccessAbdullahi,Nazir MuhammadShahriar,SalehKea,SokvibolAbdullahi,Aminu MuhammadZhang,QianggiangHuo,Xuexieng2021-07-07T00:00:00ZRevista
dc.title.none.fl_str_mv Nigeria’s cocoa exports: a gravity model approach
title Nigeria’s cocoa exports: a gravity model approach
spellingShingle Nigeria’s cocoa exports: a gravity model approach
Abdullahi,Nazir Muhammad
cocoa exports
Heckman section model
Generalized least square (GLS)
Poisson pseudo-maximum-likelihood (PPML)
panel data
title_short Nigeria’s cocoa exports: a gravity model approach
title_full Nigeria’s cocoa exports: a gravity model approach
title_fullStr Nigeria’s cocoa exports: a gravity model approach
title_full_unstemmed Nigeria’s cocoa exports: a gravity model approach
title_sort Nigeria’s cocoa exports: a gravity model approach
author Abdullahi,Nazir Muhammad
author_facet Abdullahi,Nazir Muhammad
Shahriar,Saleh
Kea,Sokvibol
Abdullahi,Aminu Muhammad
Zhang,Qianggiang
Huo,Xuexi
author_role author
author2 Shahriar,Saleh
Kea,Sokvibol
Abdullahi,Aminu Muhammad
Zhang,Qianggiang
Huo,Xuexi
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Abdullahi,Nazir Muhammad
Shahriar,Saleh
Kea,Sokvibol
Abdullahi,Aminu Muhammad
Zhang,Qianggiang
Huo,Xuexi
dc.subject.por.fl_str_mv cocoa exports
Heckman section model
Generalized least square (GLS)
Poisson pseudo-maximum-likelihood (PPML)
panel data
topic cocoa exports
Heckman section model
Generalized least square (GLS)
Poisson pseudo-maximum-likelihood (PPML)
panel data
description ABSTRACT: What are the major factors affecting Nigeria’s cocoa export flows? In answering this question, the authors suggest a commodity-specific gravity model with three different analytical approaches, (the Heckman Sample Selection Model, the Generalised Least Square, and the Poisson Pseudo Maximum Likelihood), based on a period of 24 years of panel data for Nigeria and it’s 36 importing partners to estimate the models. The results showed that GDP, exchange rate policy, WTO, EU, and colonial link are positively associated with the Nigerian cocoa export flows. Further, the negative impact of the GDP per capita, landlocked, distance, AU, and ECOWAS are observed. The need for the expansion of exports to the trading partners, especially the EU members (Netherlands, Germany, France, United Kingdom, Belgium, Spain, etc.), Canada, Malaysia, and the USA is particularly highlighted. These results are important for the formulation of future trade policy that could boost up the Nigerian cocoa exports. This would eventually contribute to the diversification of the Nigerian exports and also enhance the country’s foreign earnings.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021001100952
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782021001100952
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20201043
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.51 n.11 2021
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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