Impact assessment of Striga resistant maize varieties and fertilizer use in Ghana: A panel analysis

Abstract

Abstract This study analyzes the impact of a component of climate‐smart agriculture (CSA) technology—Striga‐resistant maize (SRM) varieties and mineral fertilizer—on maize yield and food security using two rounds of panel data in Ghana. The study employs a multinomial endogenous switching regression model and finds that joint adoption of SRM varieties and mineral fertilizer increased maize yield by 872 kg/ha, food consumption scores by 17, and consumption per adult equivalent unit by 38 kg/ha. The positive impact of maize yield is high among adopters of multiple CSA technologies. The result is robust to an alternative endogeneity‐correcting model and the implications of the findings are discussed.

Keywords

• climate‐smart agriculture
• Ghana
• multinomial endogenous switching regression
• welfare impacts