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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. [ABSTRACT FROM AUTHOR]

Purpose – Poverty and inequality undoubtedly remain substantial challenges to economic and human developments amid growing emphasis on intellectual property rights (IPRs) (with recent advances in information and communication technology (ICTs)) and good governance. In the first empirical study on the incidence of piracy on inequality in Africa, the purpose of this paper is to examine how a plethora of factors (IPRs laws, education and ICTs and government quality) are instrumental in the piracy-inequality nexus. Design/methodology/approach – Two-stage least squares estimation approaches are applied in which piracy is instrumented with IPRs regimes (treaties), education and ICTs and government quality dynamics. Findings – The main finding suggests that, software piracy is good for the poor as it has a positive income-redistributive effect; consistent with economic and cultural considerations from recent literature. ICTs and education (dissemination of knowledge) are instrumental in this positive redistributive effect, while good governance mitigates inequality beyond the piracy channel. Practical implications – As a policy implication, in the adoption IPRs, sampled countries should take account of the role less stringent IPRs regimes play on income-redistribution through software piracy. Collateral benefits include among others, the cheap dissemination of knowledge through ICTs which African countries badly need in their quest to become “knowledge economies.” A caveat, however, is that, too much piracy may decrease incentives to innovate. Hence, the need to adopt tighter IPRs regimes in tandem with increasing income-equality. Originality/value – It is the first empirical assessment of the incidence of piracy on inequality in Africa: a continent with stubbornly high poverty and inequality rates. [ABSTRACT FROM AUTHOR]