The effectiveness of development aid for agriculture in Sub-Saharan Africa

• Published in: Journal of economic studies (Bradford) 2019-03, Vol.46 (2), p.284-305
• Main Authors: Ssozi, John, Asongu, Simplice, Amavilah, Voxi Heinrich
• Format: Article
• Language: English
• Subjects: Agricultural development; Agricultural production; Agriculture; Capacity building approach; Corruption; Development aid; Development programs; Economic aid; Economic analysis; Economic growth; Economics; Food; Foreign aid; Foreign investment; GDP; Government; Gross Domestic Product; Livelihood; Productivity; Responsiveness; Rural areas; Rural development; Subsidies; Transformation; Volatility
• ISSN: 0144-3585; 1758-7387
• DOI: 10.1108/JES-11-2017-0324

Purpose Agriculture is the major source of livelihood for the majority of population in Sub-Saharan Africa but its productivity is not only low it has started showing signs of decline since 2012. The purpose of this paper is to find out whether official development assistance for agriculture is effective. Design/methodology/approach The data for development assistance for agriculture are broken down into the major agricultural sectors in receiving countries. The empirical evidence is based on the two-step system, i.e. generalized method of moments, to assess the degree of responsiveness of agricultural productivity to development assistance. Findings There is a positive relationship between development assistance and agricultural productivity in general. However, when broken down into the major agricultural recipient sectors, there is a substitution effect between food crop production and industrial crop production. Better institutions and economic freedom are found to enable agricultural productivity growth, and to increase the effectiveness of development assistance. The structural economic transformation associated with agricultural development assistance is also found to be weak. Practical implications Allocation of development assistance for agriculture is primarily determined by need, although expected effectiveness also increases the assistance receipts. Agricultural assistance policies could focus more on building productive capacity to reduce the need while boosting effectiveness. Originality/value Breaking down data into agricultural recipient sectors and controlling for the potential spurious correlation under the assumption that more development assistance could be allocated, where agricultural productivity is already increasing due to some other factors.