We measure the impact of Tanzania’s Wildlife Management Areas (WMAs), a national community-based conservation and poverty reduction initiative using a novel, cost-effective impact evaluation method based on participatory wealth ranking and Bayesian multilevel modelling.
We use empirical case studies on the impacts of El Niño on smallholder households from five countries to test the application of quantitative data aggregation for policy recommendation. Wwhile cross-study results partially align with the findings from the individual projects and with theory, several challenges associated with quantitative aggregation remain when examining complex, contextual and multi-dimensional concepts such as resilience.
Land use intensification frequently has unintended impacts on ecosystem services. Here, we we examine three case studies in rural Mozambique. Drawing on interviews, focus group discussions, 1576 household surveys and geospatial data from 27 Mozambican villages, we assess how wellbeing and inequality change with three common land use intensification pathways.