To date there is extremely limited knowledge of the economic consequences of post-harvest losses for smallholders in sub-Saharan Africa. Major contributors to economic losses are price penalties for poor quality marketed grain. This study investigates farm-gate level discounts demanded by rural Rwandan bean traders for insect-damaged dry beans. We use a simplified contingent evaluation methodology with physical grain samples to elicit seasonal damage discount schedules, gathering data from 270 trader interviews in 25 regionally-diverse rural markets, in periods of both grain abundance and grain scarcity. We find that while levels of 5-10% grain damage can generally be sold with a moderate discount, grain with 20-30% damage is largely un...
Seasonal price variability for cereals is two to three times higher in Africa than on the internatio...
Postharvest management of grain and seed is a challenge among smallholder farmers. Limited informati...
This study uses nationally representative data from 360 farm households in Benin to estimate how acc...
To date there is extremely limited knowledge of the economic consequences of post-harvest losses for...
Economic losses to stored grain can potentially come from both quantity losses and quality losses in...
SummaryThis article uses household data from Benin to estimate the extent that markets in sub-Sahara...
Post-harvest loss is a major concern for global food security and the livelihoods of vulnerable smal...
This paper uses household survey data from Benin to evaluate how grain quality affects maize prices ...
In two distinct essays, we seek to achieve one overarching objective: establishment of the potential...
This study examines trends in total and per capita food crop production, marketing and prices in Rwa...
Doctor of PhilosophyDepartment of Agricultural EconomicsBenjamin B. SchwabStudy 1: Loss Aversion and...
This study was designed to analyze drivers of dry common beans trade in Lusaka, Zambia. Specifically...
The reduction of post-harvest losses (PHLs) has been identified as a key pathway to food and nutriti...
AbstractAn assessment of post-harvest handling practices and food losses in a maize-based farming sy...
African seasonal price variability for cereals is two to three times higher than price variability o...
Seasonal price variability for cereals is two to three times higher in Africa than on the internatio...
Postharvest management of grain and seed is a challenge among smallholder farmers. Limited informati...
This study uses nationally representative data from 360 farm households in Benin to estimate how acc...
To date there is extremely limited knowledge of the economic consequences of post-harvest losses for...
Economic losses to stored grain can potentially come from both quantity losses and quality losses in...
SummaryThis article uses household data from Benin to estimate the extent that markets in sub-Sahara...
Post-harvest loss is a major concern for global food security and the livelihoods of vulnerable smal...
This paper uses household survey data from Benin to evaluate how grain quality affects maize prices ...
In two distinct essays, we seek to achieve one overarching objective: establishment of the potential...
This study examines trends in total and per capita food crop production, marketing and prices in Rwa...
Doctor of PhilosophyDepartment of Agricultural EconomicsBenjamin B. SchwabStudy 1: Loss Aversion and...
This study was designed to analyze drivers of dry common beans trade in Lusaka, Zambia. Specifically...
The reduction of post-harvest losses (PHLs) has been identified as a key pathway to food and nutriti...
AbstractAn assessment of post-harvest handling practices and food losses in a maize-based farming sy...
African seasonal price variability for cereals is two to three times higher than price variability o...
Seasonal price variability for cereals is two to three times higher in Africa than on the internatio...
Postharvest management of grain and seed is a challenge among smallholder farmers. Limited informati...
This study uses nationally representative data from 360 farm households in Benin to estimate how acc...