We study post-harvest decisions among Tanzanian rice farmers. Risk and time preference experiments are used to understand post-harvest decisions. In particular, we investigate storage and processing decisions, which according to our study can increase income by more than 50 per cent, but also introduce risk and time delays. Experimentally elicited risk and time preferences are statistically significant in explaining these post-harvest decisions. Impatient farmers are less likely to store paddy, and risk-averse farmers are less likely both to process and store paddy for future sales.

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.

This study aims to investigate the association between household wealth and nutritional status among preschool children in Tanzania. The analysis is based on a nationally representative sample of 2,120 children from the Tanzania National Panel Survey (NPS), 2012/13. Household wealth was measured by wealth index constructed using the Principal Component Analysis (PCA); whereas child stunting and underweight were used to determine the nutritional status of a child.

This paper analyzed and mapped the impact of built environment (BE) on socio-ecological services along Dar es Salaam metropolitan coastline. In the period of 1995-2016, burgeoning population exacerbated high rate of construction processes and activities. Such anthropic initiatives affect the benefits and values delivered by landscape wetlands, estuaries, beach areas, open space and greenery patches in Dar es Salaam coastline.

This paper examines technical efficiency in farming activities and its implication on forest conservation in Kilosa District. The empirical analysis is based on data collected from 301 households selected randomly from five villages in Kilosa district, of which three villages were under the REDD+ project. Two empirical models were estimated: stochastic frontier Translog production function, and forest resources extraction model.