The study investigated the effects of trade openness, electricity consumption, education and technology on agricultural value addition growth in Africa. It used data accessed from World Bank Data Base (1971-2011) which were subjected to econometric tests before applying the bound test for cointegration using Autoregressive Distributed Lag model. Results indicated the existence of a steady-state long-run relationship between agricultural value addition and its hypothesized determinants. Finally, technology (0.446) at p < 0.01and electricity consumption (1.695), at p<0.01 were the major long-run determinants of agricultural value addition growth. However technology (Wald stat =-0.551) with p <0.01, electricity (Wald Stat = 0.246) at p<0.01 and education (Wald F Stat =-0.417) with p < 0.01 explained the variation in agricultural value addition in Africa in the short-run. It was recommended that African nations should invest on electricity generation, technology development and skill acquisitions for developing agricultural value chain on the continent .