Spatial equilibrium, market integration and price exogeneity in dry fish marketing in Nigeria: A vector auto-regressive (VAR) approach
Descripción del Articulo
Fish is the cheapest animal protein source in Nigeria, and dry fish in particular has the potential to solve the pervasive protein shortage problem owing to its relative affordability compared with fresh fish. Boosting dry fish consumption will entail retail price reduction which is achievable only...
Autor: | |
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Formato: | artículo |
Fecha de Publicación: | 2012 |
Institución: | Universidad ESAN |
Repositorio: | Revistas - Universidad ESAN |
Lenguaje: | inglés |
OAI Identifier: | oai:ojs.pkp.sfu.ca:article/222 |
Enlace del recurso: | https://revistas.esan.edu.pe/index.php/jefas/article/view/222 |
Nivel de acceso: | acceso abierto |
Materia: | Agricultural marketing Market infrastructures Retail price Pricing efficiency |
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Spatial equilibrium, market integration and price exogeneity in dry fish marketing in Nigeria: A vector auto-regressive (VAR) approachMafimisebi, Taiwo E.Agricultural marketingMarket infrastructuresRetail pricePricing efficiencyFish is the cheapest animal protein source in Nigeria, and dry fish in particular has the potential to solve the pervasive protein shortage problem owing to its relative affordability compared with fresh fish. Boosting dry fish consumption will entail retail price reduction which is achievable only if the market for dry fish operates efficiently. This study, after testing and correcting price series for non-stationarity, modelled marketing efficiency in 66 pairs of spatially separated markets. The unit root test was used to reveal the order of econometric integration of the price series. All price series showed non-stationarity at their levels (P<0.05), but on first-differencing, they all rejected the null hypothesis of non-stationarity. This confirmed that they were generated by the same stochastic processes and, thus, capable of exhibiting long-run spatial equilibrium. The vector auto-regressive test showed that 59.1% of the markets had prices which were spatially integrated on the long-run. The Granger-causality model revealed that prices in Bauchi, Akure, Makurdi and Kano markets were driving prices in other locations. Kano market exhibited very strong exogeneity while others were either strongly or weakly exogenous. It is concluded that there is low extent of spatial pricing efficiency in Nigeria’s dry fish market. The study recommended improved market infrastructures, improved information collection, collation and dissemination, and decisive policy reforms aimed at lowering retail price at the identified leader markets, as ways of enhancing spatial pricing efficiency. DOI: https://doi.org/10.1016/S2077-1886(12)70005-7Universidad ESAN2012-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://revistas.esan.edu.pe/index.php/jefas/article/view/222Journal of Economics, Finance and Administrative Science; Vol. 17 No. 33 (2012): July-December; 31-37Journal of Economics, Finance and Administrative Science; Vol. 17 Núm. 33 (2012): July-December; 31-372218-06482077-1886reponame:Revistas - Universidad ESANinstname:Universidad ESANinstacron:ESANenghttps://revistas.esan.edu.pe/index.php/jefas/article/view/222/353Copyright (c) 2012 Journal of Economics, Finance and Administrative Sciencehttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/2222021-09-14T18:46:18Z |
dc.title.none.fl_str_mv |
Spatial equilibrium, market integration and price exogeneity in dry fish marketing in Nigeria: A vector auto-regressive (VAR) approach |
title |
Spatial equilibrium, market integration and price exogeneity in dry fish marketing in Nigeria: A vector auto-regressive (VAR) approach |
spellingShingle |
Spatial equilibrium, market integration and price exogeneity in dry fish marketing in Nigeria: A vector auto-regressive (VAR) approach Mafimisebi, Taiwo E. Agricultural marketing Market infrastructures Retail price Pricing efficiency |
title_short |
Spatial equilibrium, market integration and price exogeneity in dry fish marketing in Nigeria: A vector auto-regressive (VAR) approach |
title_full |
Spatial equilibrium, market integration and price exogeneity in dry fish marketing in Nigeria: A vector auto-regressive (VAR) approach |
title_fullStr |
Spatial equilibrium, market integration and price exogeneity in dry fish marketing in Nigeria: A vector auto-regressive (VAR) approach |
title_full_unstemmed |
Spatial equilibrium, market integration and price exogeneity in dry fish marketing in Nigeria: A vector auto-regressive (VAR) approach |
title_sort |
Spatial equilibrium, market integration and price exogeneity in dry fish marketing in Nigeria: A vector auto-regressive (VAR) approach |
dc.creator.none.fl_str_mv |
Mafimisebi, Taiwo E. |
author |
Mafimisebi, Taiwo E. |
author_facet |
Mafimisebi, Taiwo E. |
author_role |
author |
dc.subject.none.fl_str_mv |
Agricultural marketing Market infrastructures Retail price Pricing efficiency |
topic |
Agricultural marketing Market infrastructures Retail price Pricing efficiency |
description |
Fish is the cheapest animal protein source in Nigeria, and dry fish in particular has the potential to solve the pervasive protein shortage problem owing to its relative affordability compared with fresh fish. Boosting dry fish consumption will entail retail price reduction which is achievable only if the market for dry fish operates efficiently. This study, after testing and correcting price series for non-stationarity, modelled marketing efficiency in 66 pairs of spatially separated markets. The unit root test was used to reveal the order of econometric integration of the price series. All price series showed non-stationarity at their levels (P<0.05), but on first-differencing, they all rejected the null hypothesis of non-stationarity. This confirmed that they were generated by the same stochastic processes and, thus, capable of exhibiting long-run spatial equilibrium. The vector auto-regressive test showed that 59.1% of the markets had prices which were spatially integrated on the long-run. The Granger-causality model revealed that prices in Bauchi, Akure, Makurdi and Kano markets were driving prices in other locations. Kano market exhibited very strong exogeneity while others were either strongly or weakly exogenous. It is concluded that there is low extent of spatial pricing efficiency in Nigeria’s dry fish market. The study recommended improved market infrastructures, improved information collection, collation and dissemination, and decisive policy reforms aimed at lowering retail price at the identified leader markets, as ways of enhancing spatial pricing efficiency. DOI: https://doi.org/10.1016/S2077-1886(12)70005-7 |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-12-30 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.esan.edu.pe/index.php/jefas/article/view/222 |
url |
https://revistas.esan.edu.pe/index.php/jefas/article/view/222 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.esan.edu.pe/index.php/jefas/article/view/222/353 |
dc.rights.none.fl_str_mv |
Copyright (c) 2012 Journal of Economics, Finance and Administrative Science https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2012 Journal of Economics, Finance and Administrative Science https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad ESAN |
publisher.none.fl_str_mv |
Universidad ESAN |
dc.source.none.fl_str_mv |
Journal of Economics, Finance and Administrative Science; Vol. 17 No. 33 (2012): July-December; 31-37 Journal of Economics, Finance and Administrative Science; Vol. 17 Núm. 33 (2012): July-December; 31-37 2218-0648 2077-1886 reponame:Revistas - Universidad ESAN instname:Universidad ESAN instacron:ESAN |
instname_str |
Universidad ESAN |
instacron_str |
ESAN |
institution |
ESAN |
reponame_str |
Revistas - Universidad ESAN |
collection |
Revistas - Universidad ESAN |
repository.name.fl_str_mv |
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repository.mail.fl_str_mv |
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1846244162863628288 |
score |
12.789434 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).