Case Studies

Explore the case study on our local economic development work in Brazil, Chile, and Peru from 2016 to 2020.

This paper is intended to be the first of a series of thematic papers on inclusive business technical assistance. TechnoServe will continue this work under the DFID-funded Commercial Agriculture for Smallholders and Agribusiness Technical Assistance Facility (CASA TAF). This five-year facility aims to partner…

This case study from the TechnoServe Coalition for Smallholder Sourcing examines an innovation piloted by a cotton agribusiness in Mozambique that used a mobile-phone platform to improve its engagement with farmers.

This case study from the TechnoServe Coalition for Smallholder Sourcing examines how a performance-based cash incentive piloted by an agribusiness in Uganda stimulated maize production and sales among smallholders involved in contract farming.

This case study from the TechnoServe Coalition for Smallholder Sourcing examines results and lessons from a pilot in northern Uganda, where an agribusiness employed diversification and value addition as strategies to improve the long-term viability of their outgrower scheme.

In this case study, TechnoServe’s Innovations in Outcome Measurement (IOM) initiative explores innovative models for creating a profitable agribusiness that builds wealth in small farming communities of East Africa…

In this case study, TechnoServe’s Innovations in Outcome Measurement (IOM) program explores how advances in drone-assisted imaging and mapping services can bring new income and efficiency to economic development in East Africa.

In this case study, TechnoServe’s Innovations in Outcome Measurement (IOM) initiative explores how to expand commercial livestock services across Kenya’s rangelands by evaluating which business models can provide sustainable agrovet services to pastoralist communities.

This case study discusses TechnoServe’s work to improve farmers’ productivity and adoption of good agronomic practices over five years in Guatemala, analyzing lessons learned and the model’s potential to be brought to scale in Guatemala and other coffee-producing countries.