Latest Publications

A temporary “learning” subsidy for commercially sourced fertilizers could help to expand the reach of Kenya's subsidy programs while supporting the commercial markets that will sustain long-term adoption.

Stage 2 of the toolkit Agricultural Index Insurance for Development Impact zeroes in on the components needed to build a high-quality index insurance product that can cover a significant share of crop losses and minimize basis risk.

In Tanzania, an experimental game found that a hybrid microloan with a 20% individual collateral increased individual effort and repayment for group loans while reducing the number of farmers who choose to borrow.

The additional income generated by a large-scale agricultural extension program in Uganda reduced malaria infections by increasing rates of bednet ownership.

This Spotlight illustrates how MQS works with three hypothetical datasets. While two of the three contracts fail MQS, each can be improved in different ways to provide greater value to farmers.

Stage 1 of the toolkit Agricultural Index Insurance for Development Impact is a framework that lays out initial steps to identifying the populations and commodities for which a safe and effective agricultural index insurance product can be designed to achieve your development objectives.

In recent years, economists have evolved a theory of poverty traps in ways that have changed how we think about creating opportunity for those in desperate need, suggesting new directions that could indeed lead us to the global end of poverty.

New AMA Innovation Lab research in Uganda on a program focusing on smallholder women farmers finds that the adoption of improved cultivation methods with minimal up-front costs had big impacts on village-wide food security and resilience.

The AMA Innovation Lab is leading a pilot in Tanzania that bundles drought-tolerant maize with index insurance for seed replacement. Adoption rates and the effective triggering and distribution of in-kind payouts suggest this bundled approach could be successfully scaled more broadly.