Impact Assessment of Agriculture and Manufacturing Sectors on economic Growth in Nigeria.

This study tried to investigate the impact of agriculture and manufacturing on economic growth using time series data from (1987-2019). To analyze link between variables, researchers utilized ADF test for stationarity, Ordinary Least Square Method, Error Correction Model, Granger Causality Test. The result shows that, coefficient agricultural output has a positive sign, indicating favorable association. AGRQ is (0.045142), implying that 5% change in will Manufacturing Value Added. At 0.05 percent level, finding statistically significant, with probability (0.0000). determination R-Squared (R2) 0.817974, variations explanatory variables account nearly 82 variation ECM's (-1) (0.619202). indicates short run adjustment annually offsets 62% system's disequilibrium order restore long-run equilibrium. means system reach equilibrium at 62 rate following year. level significance, causality demonstrates there no causal Added Real Gross Domestic Product. However, value-added have one-way relationship. recommends government must urgently expand Nigerian sector by allocating more financing industry ensuring funds are used wisely further support increased industrial productivity expansion, should work strengthen its incentives sector.