Auteurs : Ziane Meriem . Gaidi Khemissi .
This study examines the impact of wheat production on agricultural growth in Algeria (1990–2023), testing the main hypothesis that wheat production significantly affects agricultural growth (H0), broken into two sub-hypotheses positing that wheat production (H1) and annual rainfall (H2) each exert a significant positive impact on agricultural value added (VAAGR). Using FAO time-series data, a multiple log-log OLS regression is estimated, with VAAGR as dependent variable and wheat production (PROD) and rainfall (RAIN) as explanatory variables, corrected for autocorrelation via Newey-West HAC standard errors. The results confirm H0 and H1: wheat production shows a positive, highly significant elasticity (1.610). H2 is not confirmed, however — rainfall instead shows a significant negative elasticity (−2.347). The model explains 61.9% of the variation in agricultural value added, confirming wheat’s central role while revealing rainfall as a disruptive, rather than supportive, factor.
Wheat Production ; Agricultural Growth ; Agricultural Value ; Multiple Regression ; Algeria