Agricultural R&D investments and policy development goals in sub-Saharan Africa: Assessing prioritization of value chains in Senegal
This paper looks at the prioritization of agricultural value chains (VCs) for the allocation of R&D resources that maximize development outcomes (poverty, growth, jobs, and diets). Considering that growth in VCs affect those outcomes differently, as expansion pathways result in the diverse use of production factors and inputs, trade-offs from linkages across sectors, and changes throughout the agri food system, this analysis uses (i) the RIAPA dynamic computable general equilibrium model to identify what agricultural VCs, when expanded through TFP growth, provide the strongest effects on the development outcomes of interest; (ii) the perpetual inventory model (PIM) to represent the lagged effect of research through knowledge stocks of agricultural R&D investments, and (iii) information on the elasticities of VC TFP with respect to agricultural R&D knowledge stocks, to discuss the VC priority allocations of R&D resources in Senegal. Results indicate that no VC (crops and livestock related) is the most effective at improving all development outcomes. Accounting for policy preferences that attribute relative priority weight to development objectives, results indicate (based on a ranking scale) that the most effective VCs to be efficiently supported through R&D investments that maximize development objectives in Senegal are traditional export crops (growth, diets, jobs, and to some extent poverty), groundnuts (poverty, diets, and jobs), rice (poverty and jobs), poultry/eggs (diets and jobs), sorghum/millet (poverty and growth), and cattle (diets and growth). Other promising VCs with potential effects at scale if strategically targeted include vegetables (poverty, diets, and jobs, oilseeds (poverty and growth), and fruits (diets and jobs). While these results can inform strategies aimed at improving multiple development outcomes, future modelling need to focus on deepening the standardization and integration of R&D investments in the framework and bring together other factors and complementary AFS investment dimensions relevant to sustainable and inclusive agricultural VC growth.