Associate Professor of Management at the London School of Economics and Political Science
Adopting new agricultural technologies can increase farmers’ profits, but high upfront costs may make adoption burdensome, particularly for women farmers. Researchers are partnering with a large coffee buyer to conduct a randomized evaluation to test the impact of offering subsidized labor, access to loans, and digital delivery of personalized information on men and women farmers’ adoption of coffee tree rejuvenation practices in Rwanda.
Policy Issue
Farmers can increase their profits by adopting new agricultural technologies or upgrading their operations, but they might not be able to do so if such upgrades require high upfront costs. Rejuvenating coffee trees by cutting them down to the stump to promote new growth or uprooting old trees entirely and replanting new ones are proven methods to increase yields. However, both practices are labor intensive and result in lower yields for two to three years before the new trees start bearing fruit, which means that farmers face lower incomes in the short-term.These drawbacks may be more burdensome for women farmers, who tend to own less land and trees than men farmers and who are less likely to adopt productivity-boosting agricultural practices in general. Are men and women farmers more likely to invest in coffee rejuvenation practices if they are offered subsidized labor and loans? Does providing targeted, digitally-provided information increase farmers’ awareness and adherence to the program?
Context of the Evaluation
Coffee is an important part of the Rwandan economy. Over 400,000 small-scale farmers grow coffee, and it is the country’s second largest export crop, making up about a quarter of all earnings from agricultural exports. However, of major coffee-exporting countries, only Ethiopia has lower yields per hectare than Rwanda, and coffee trees in Rwanda tend to be very old, with older trees producing lower yields than young trees. Although farmers’ knowledge of coffee rejuvenation practices in the study area is high, only about one third of farmers reported having stumped or uprooted some of their coffee trees in the most recent agricultural season and fewer than 10 percent reported having replanted any trees.
Over 40 percent of Rwandan coffee farmers are women, which is a higher proportion than in most coffee-producing countries. However, women tend to have lower yields than men throughout the country. On average, women farmers in the study area own 15 percent less land than men and plant up to 25 percent fewer trees, which are often older than the trees farmed by men. Contributing to this disadvantage is the gap that women farmers experience in accessing resources and information. Partially due to their higher burden of household tasks, women are less likely to attend in-person training sessions hosted by a major coffee buyer and to interact with coffee washing station managers.
On average, farmers in the study owned two acres of land and planted coffee on about one quarter of their land. Smallholders in Rwanda typically sell their product to buyers that aggregate product across farms for processing and exporting. Farms are assigned to government-defined geographic zones for buyer-operated coffee washing stations, although this is loosely enforced, and buyers often compete for farmers’ product. The coffee buyer that researchers partnered with sources coffee from over 30,000 smallholder farmers across 30 coffee washing station catchment areas.
Details of the Intervention
In partnership with one of Rwanda’s largest coffee buyers, researchers tested the impact of offering subsidized labor, loans, and targeted digital communication on small-scale farmers’ adoption of coffee rejuvenation practices. Although farmers are not contractually obligated to sell to this coffee buyer, over 90 percent of farmers in the study reported selling all or most of their coffee to them and many had attended their past trainings. Researchers randomly assigned 5,237 households across treatment arms and 767 households to a comparison group, for a total of 6,000 households assigned to one of the following groups:
Researchers will work with the coffee buyer to track farmers’ engagement with the digital communication and their take-up of the labor subsidy and loans. Researchers will also measure how many newly planted seedlings survive and the share of stumped trees that begin bearing fruit. Administrative data from the coffee buyer will allow the researchers to track how much coffee farmers deliver to them during and following the intervention to measure how farmers’ yields and income from coffee change over time.
Results and Policy Lessons:
Results forthcoming; study ongoing.