Nigeria’s cocoa exports: a gravity model approach
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
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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Ciência rural (Online) |
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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 |
|
_version_ |
1749140556199493632 |