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Agricultural R&D investments and development goals in sub-Saharan Africa: Assessing prioritisation of value chains in Senegal

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  • Benfica, Rui

Abstract

We look at the prioritisation of agricultural value chains (VCs) for the allocation of R&D resources that maximise development outcomes (poverty, growth, jobs and diets) in Senegal. This study used (a) the rural investment and policy analysis (RIAPA) computable general equilibrium (CGE) model; (b) the perpetual inventory model (PIM), and (c) information on the elasticities of VC total factor productivity (TFP) with respect to R&D knowledge stocks (KS) to discuss the value chain priority allocations of R&D resources. The results indicate that no value chain is the most effective at improving all outcomes. The most effective value chains to be efficiently supported through R&D investments are traditional export crops, groundnuts, rice, poultry, sorghum/millet and cattle. Other promising value chains with potential effects at scale include vegetables, oilseeds and fruits. Future modelling needs to focus on deepening the standardisation and integration of R&D investments in this framework and bring together other factors and complementary agri-food system (AFS) investment dimensions that are relevant to sustainable and inclusive agricultural growth.

Suggested Citation

  • Benfica, Rui, 2022. "Agricultural R&D investments and development goals in sub-Saharan Africa: Assessing prioritisation of value chains in Senegal," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(2), June.
    • Handle: RePEc:ags:afjare:333973
    DOI: 10.22004/ag.econ.333973
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    References listed on IDEAS

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    1. Rui Benfica & Heath Henderson, 2021. "The Effect of the Sectoral Composition of Economic Growth on Rural and Urban Poverty," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 248-284, March.
    2. Roberto Esposti & Pierpaolo Pierani, 2003. "Building the Knowledge Stock: Lags, Depreciation, and Uncertainty in R&D Investment and Link with Productivity Growth," Journal of Productivity Analysis, Springer, vol. 19(1), pages 33-58, January.
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