Assessing the determinants of agricultural productivity in Somalia: An application of an ARDL model

This study delves into the factors that boost agricultural productivity while taking five macroeconomic variables account. The investigated are productivity, which is used as dependent variable, employment in agriculture, gross capital formation, arable land, and rainfall independent variables. Employing an autoregressive distributed lags (ARDL) model, this paper examines determinants of Somalia from 1991 to 2020. cointegration between model’s was verified using a bounds-testing approach cointegration. Employment agriculture found have both short-run long-run positive impact on productivity. Similarly, it discovered formation availability land had favorable influence short long run. Additionally, indicated correlation although statistically insignificant at percent level. In run, amount available has However, determinant opposite effect. Based results, advises government, policymakers, other concerned authorities prioritize technological innovation climate-smart systems sector