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The Development Aid for the Agricultural Sector of African, Caribbean and Pacific Countries—Determinants and Allocation

cris.lastimport.scopus2025-10-23T07:00:32Z
cris.virtual.author-orcid0000-0002-0570-6729
cris.virtual.author-orcid0000-0003-4353-8196
cris.virtualsource.author-orcid4625ca1f-d257-48bd-a569-71cf20798ed0
cris.virtualsource.author-orcid1dc4a15c-8c8b-4136-ae23-434e3c2ac96f
dc.abstract.enWe propose a method for allocating Official Development Assistance (ODA) to the agricultural sector of African Caribbean and Pacific (ACP) countries based on objectively measured indicators of the development of the economies determined for the period of 2010–2022. These indicators are calculated from statistical data using factor analysis. They are then implemented in a linear programming model to allocate the budget for ACP agriculture. The results show that the proposed approach allocates funds according to the assumed logic, supporting countries in the low and very low development classes. The research conducted can contribute to the discussion on the allocation of development support to the agricultural sector by potential donors while analyzing different assumptions. This study can also serve as a prelude to researching the phenomenon of increasing efficiency in the agricultural sector in the context of potential economic development paths for the analyzed countries.
dc.affiliationWydział Ekonomiczny
dc.affiliation.instituteKatedra Ekonomii
dc.contributor.authorSmolińska-Bryza, Kinga
dc.contributor.authorKiryluk-Dryjska, Ewa
dc.date.access2025-03-25
dc.date.accessioned2025-03-25T12:11:03Z
dc.date.available2025-03-25T12:11:03Z
dc.date.copyright2025-01-16
dc.date.issued2025
dc.description.abstract<jats:p>We propose a method for allocating Official Development Assistance (ODA) to the agricultural sector of African Caribbean and Pacific (ACP) countries based on objectively measured indicators of the development of the economies determined for the period of 2010–2022. These indicators are calculated from statistical data using factor analysis. They are then implemented in a linear programming model to allocate the budget for ACP agriculture. The results show that the proposed approach allocates funds according to the assumed logic, supporting countries in the low and very low development classes. The research conducted can contribute to the discussion on the allocation of development support to the agricultural sector by potential donors while analyzing different assumptions. This study can also serve as a prelude to researching the phenomenon of increasing efficiency in the agricultural sector in the context of potential economic development paths for the analyzed countries.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_act
dc.description.financecost13072,32
dc.description.if100
dc.description.number2
dc.description.points3,3
dc.description.versionfinal_published
dc.description.volume15
dc.identifier.doi10.3390/agriculture15020190
dc.identifier.issn2077-0472
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/2625
dc.identifier.weblinkhttps://www.mdpi.com/2077-0472/15/2/190
dc.languageen
dc.pbn.affiliationeconomics and finance
dc.relation.ispartofAgriculture (Switzerland)
dc.relation.pagesart. 190
dc.rightsCC-BY
dc.sciencecloudsend
dc.share.typeOPEN_JOURNAL
dc.subject.endeveloping countries
dc.subject.enOfficial Development Assistance
dc.subject.endevelopment assistance efficiency
dc.subject.enagricultural productivity factor analysis
dc.subject.enagricultural economic growth
dc.subject.enlinear programming
dc.subject.enresource allocation
dc.titleThe Development Aid for the Agricultural Sector of African, Caribbean and Pacific Countries—Determinants and Allocation
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.volume15