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

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.

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Publication Details

Journal
Agriculture
Published
2025-01-16
DOI
https://doi.org/10.3390/agriculture15020190
Primary Topic
International Development and Aid
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Kinga Smolińska, Ewa Kiryluk-Dryjska
Agriculture
International Development and Aid
article

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

Kinga Smolińska, Ewa Kiryluk-Dryjska
article en

Abstract

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.

AgricultureVol. 15(2)
University of Life Sciences in Poznań (PL)
Narodowym Centrum Nauki, Uniwersytet Przyrodniczy w Poznaniu
Partnerships for the goals
Openalex Percentile: Top 99%
International Development and Aid
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