Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia
利用赞比亚东部地块层面的面板数据，分析多种农业技术联合采用对作物产量、家庭收入和贫困的影响，发现联合采用比单独采用效果更好。
Abstract Using plot level panel data and multinomial endogenous switching regression, this article analyzes the adoption and welfare impacts of multiple agricultural technologies in eastern Zambia. We adapt a multinomial endogenous switching/treatment effect regression framework to correct for selection bias and endogeneity originating from both observed and unobserved heterogeneity. Results indicate that joint adoption of multiple agricultural technologies had greater impacts on crop yields, household incomes, and poverty than the adoption of individual components of the technology package. Our findings suggest that efforts aimed at raising household incomes and reducing poverty should focus on promoting the adoption of multiple agricultural technologies through provision of improved support services such as extension and input supply.