Impact assessment of Striga resistant maize varieties and fertilizer use in Ghana: a panel analysis
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 an...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/125995 |
| Sumario: | 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. |
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