Storage losses of crops on the farm are often assumed to be an important contributor to presumed large post-harvest losses in developing countries. However, reliable and representative estimates on these losses are often lacking. We study farmers’ storage decisions and self-reported storage losses for grain crops based on two recent large-scale household surveys conducted in major grain producing areas in Ethiopia. We show that a relatively large share of grain production is stored, mainly for own consumption, and that storage technologies are rudimentary. We find that farmers’ self-reported storage losses amount to an average of 4 percent of all grains stored and 2 percent of the total harvest. These storage losses are shown to differ significantly by some households’ socio-economic characteristics and wealth and also by crop and prevailing humidity levels. We further see strong spatial heterogeneity in storage losses, being significantly higher in the southwestern part of the country. Efforts to scale up the adoption of improved storage technologies to reduce storage losses at the farm level should take into consideration these characteristics.

Storage losses at the farm are often assumed to be an important contributor to presumed large postharvest losses in developing countries. However, reliable and representative data on these losses are often lacking. We study farmers’ storage decisions and self-reported storage losses for grain based on two recent large-scale household surveys conducted in major agricultural areas in Ethiopia. We show that a relatively large share of grain production is stored by farm households themselves, mainly for own consumption, and that storage technologies are rudimentary. We find that farmers’ self-reported storage losses amount to an average of 4 percent of all grain stored and 2 percent of the total harvest. These storage losses are shown to differ significantly by socio-economic variables and wealth, but also by crop and humidity. We further see strong spatial heterogeneity in storage losses, being significantly higher in the southwestern part of the country. Efforts to scale up the adoption of improved storage technologies to reduce storage losses at the farm level should take into consideration these characteristics.

We study post-harvest losses (PHL) in important and rapidly growing rural-urban value chains in Ethiopia. We analyze self-reported PHL from different value chain agents – farmers, wholesale traders, processors, and retailers – based on unique large-scale data sets for two major commercial commodities, the storable staple teff and the perishable liquid milk. PHL in the most prevalent value chain pathways for teff and milk amount to between 2.2 and 3.3 percent and 2.1 and 4.3 percent of total produced quantities, respectively. We complement these findings with primary data from urban food retailers for more than 4,000 commodities. Estimates of PHL from this research overall are found to be significantly lower than is commonly assumed. We further find that the emerging modern retail sector in Ethiopia is characterized by half the level of PHL than are observed in the traditional retail sector. This is likely due to more stringent quality requirements at procurement, sales of more packaged – and therefore better protected – commodities, and better refrigeration, storage, and sales facilities. The further expected expansion of modern retail in these settings should likely lead to a lowering of PHL in food value chains, at least at the retail level.

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This report analyses PIM’s 391 peer-reviewed 2018 and 20191 publications. We highlight key gender findings and discuss the challenges faced by researchers in doing gender analysis, with a view to documenting lessons learned and improving practices. It is hoped that the gaps and strengths identified in this report will be useful inputs for future research under PIM and One CGIAR.

One of the key questions in food policy debates in the last decades has been the role of cash cropping for achieving food security in low income countries. We revisit this question in the context of smallholder coffee production in Ethiopia. Using unique data collected by the authors on about 1,600 coffee farmers in the country, we find that coffee income improves food security, even after controlling for total income and other factors and after addressing the endogeneity of coffee income. Further analysis suggests that the pathway for achieving this improved food security is linked to being better able to smooth consumption across agricultural seasons. In contrast with food crops, coffee sales take place almost throughout the whole year, providing farmers with cash income also during the lean season.