Household agricultural production for self-consumption is often highlighted by nutritionists as the main route to increasing household food security and nutritional status, especially for the poor in developing countries. At the same time, the income gains from specializing in fewer crops and selling the surplus product could be an alternate route to improved nutritional status. We use Tanzanian data to study linkages between the diversity and market orientation of a household’s agricultural production, the quality and diversity of their diets, and the nutritional status of their children.

We analyze the impact of a new storage technology and training on post-harvest losses among small-scale maize farmers in rural Tanzania. The analysis is based on data collected by means of a randomized controlled trial (RCT) in which farmers were randomized into one of three groups: a control group and two treatment groups. Farmers in the first treatment group received training on post-harvest management practices, and farmers in the second treatment group were provided with hermetic (airtight) bags for storing maize, as well as the training administered to the first treatment group.

Specialty coffee markets that recognize coffee‐quality price premiums can improve business conditions for smallholders and promote agro‐ecological practices. We studied the Relationship Coffee Model (RCM), a business model that supports long‐term partnerships between coffee buyers and smallholders based on product quality. We examined how biophysical conditions and production practices affect smallholders’ ability to participate in this model. Furthermore, we considered common unobservable variables driving growers’ participation such as farm soil quality and connection to social networks.

The purpose of this study is to provide empirical evidence on the impact of a climate-smart agricultural practice (row planting) on the welfare of rural households. Data collected from 260 households in Gubalafto woreda of Amhara region in Ethiopia were analyzed using Propensity Score Matching (PSM) and a Semi-parametric Local Instrumental Variable (LIV) version of the generalized Roy model. The results from the PSM model revealed that adoption of row planting technology has a positive and significant impact on per capita consumption and on crop income per hectare.

This paper focuses on improved storage and preservation technologies as an adaptation strategy in response to climate change.

This study combined farm household panel data, weather data and discount rates, as measured by a hypothetical survey question, to estimate the impact of income on discounting. This paper has found that income variation driven by anomalies in rainfall during the main growing season is a strong predictor of farmers’ subjective discount rates. Farmers prefer a smaller immediate reward to a larger deferred one when affected by negative income shocks, while they display lower discount rates when the income shocks are positive.

Determination of fish landing price is important, as the same contributes to the structure, conduct and performance of the fish market in Lake Victoria. Determination of relevant landing price is a gap to console between fishermen, agents (middlemen), processors and the government.

Prior to 2009, there was no direct road connection between the southern regions of Mozambique—where the capital city is located—and the more agriculturally-productive central and northern regions. In this paper, we leverage the opening of a major road bridge to identify the impact of enhanced domestic transport infrastructure on agricultural market performance. We apply a generalized difference-in-difference estimator within a dyadic regression context.