Identifying farm typologies in Rwandan agriculture: A framework for improving targeted interventions

Benimana, Gilberthe; Warner, James; and Mugabo, Serge. 2024. Identifying farm typologies in Rwandan agriculture: A framework for improving targeted interventions. Rwanda SSP Working Paper 10. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/141717

This paper explores the broad spectrum of commercial engagement by Rwandan farmers by grouping farmers according to characteristics of the head of household, the degree of commercialization of their farms, size of livestock holdings and other factors.

We use statistical methodologies, including factor and cluster analysis, combined with existing knowledge of the agricultural sector to define five types of Rwandan farmers, separated into two broad groups. The first group (Group A) includes three types broadly classified as less wealthy, less commercialized, with a net negative gross margin. Within this group the three types of farmers include: Type 1—Less commercialized older male headed households with larger families, Type 2—Better educated, youth headed households, who are more market oriented but have smaller land holdings, Type 3—Older female headed households who produce relatively lower agricultural production value relative to their assets owned.

The second group (Group B) comprises two types of farmers. This group are wealthier, sell more crops with positive gross margins and larger landholdings. More specifically, farm type 4 is commercialized with higher access to agricultural extension services and inputs and farm type 5, also highly commercialized, but has significant livestock holdings as well.

Taken together, these two groups, and five farm types, provide a framework to aid in understanding how commercialization takes place in smallholder Rwandan agriculture. This framework may also help in understanding how potential interventions would be received by various types of Rwanda farmers, thereby facilitating more efficient targeting of agricultural interventions.