ABSTRACT:

The study examined the determinants of agricultural output in Nigeria from 2000-2022. It employed econometric techniques of co-integration test and Multiple regression approach to analyze the data obtained from the CBN statistical bulletin. The Augmented Dickey Fuller unit root test results showed that all the variables were stationary at first difference. The Johansen cointegration test results showed that co-integrating equations exist. Meanwhile, the regression results showed that; government funding in agriculture is positively and significantly related to agricultural output with parameter value of 0.272406 and probability value of 0.0012, agricultural credit has positive (0.150567) and significant (0.0309) impact on agricultural output. Also, exchange rate has a positive (0.063865) and insignificant (0.5446) effect on agricultural output. The findings from the study showed that agricultural funding; agricultural credits as well as exchange rate are key determinants of agricultural output in Nigeria explaining about 90.5 percent change in agricultural output within the period of our study. Based on these findings, the study recommends amongst others that there should be increase agricultural funding in the yearly budget in order to provide infrastructural facilities to the rural areas where bulk of farm products are produced. Also, credit to the agricultural sector via the rural farmers should be encouraged.