CGIAR Trust Fund

Armed conflict, community-based cash transfers, and social cohesion: Evidence from a randomized intervention in Ethiopia

Agricultural technology adoption and deforestation: Evidence from a randomized control trial

We study the effect of the adoption of improved agricultural inputs on deforestation using a randomized control trial in Nigeria which introduced a more efficient and environmentally-friendly nitrogen fertilizer. We combine survey data from the intervention with earth observation data to develop a generalizable method for evaluating the effects of cluster-level interventions on landscape-level outcomes. We find evidence of an intensification response to treatment exposure that reflects significant heterogeneity across land cover. On land with relatively sparse pre-intervention tree cover, treatment exposure increased deforestation while in denser forest areas the intervention reduced deforestation. We find corresponding effects showing treatment exposure increases agricultural productivity. Our results reflect an intensification response to improved agricultural technology that redirects agricultural activity away from forests and towards existing cropland.

Understanding social safety nets and intra-household food allocation: Experimental evidence from Bangladesh

Evidence shows that social protection can improve diets, but little is known about how impacts vary within households, the extent to which the modality of the transfer affects how it is distributed across all household members, whether adding training on the importance of nutrition and diets alters the way transfer resources are allocated within the household, relative to a transfer alone, and if differences in allocations are shaped by differences in livelihood opportunities. We use individual food intake data from two randomized control trials fielded in rural Bangladesh to address these questions. Our results overwhelmingly demonstrate that food gains are distributed equally, regardless of the type of transfers households received (cash, food, or combination), inclusion of nutrition training, regional context, or specific dietary outcome measured. These patterns of findings hold when we consider several extensions: (1) analyzing more aggregated demographic groups; (2) considering alternative measures of diet; (3) analyzing shares rather than levels; (4) considering impacts relative to deprivation at baseline; (5) analyzing impacts on non-food outcomes that can be assigned demographically; (6) re-estimating impacts using alternate samples and alternate estimation models. Where the few significant differences are found, they are often small in magnitude and in favor of children.