A common behavioral assumption of micro-economic theory is that income is fungible. Using household panel data from rural China and Tanzania, this study finds however that people are more likely to spend unearned income on less basic consumption goods such as alcohol and tobacco, non-staple...

A rather unique panel tracking more than 3,300 individuals from households in rural Kagera, Tanzania during 1991/4-2010 shows that about one in two individuals/households who exited poverty did so by transitioning from agriculture into the rural nonfarm economy or secondary towns. Only one in...

For a long time, the urbanization and development discourse has coincided with a focus on economic growth and big cities. Yet, much of the world's new urbanization is taking place in smaller urban entities (towns), and the composition of urbanization may well bear on the speed of poverty...

Studies of risk and its consequences tend to focus on one risk factor, such as a drought or an economic crisis. Yet 2003 household surveys in rural Kilimanjaro and Ruvuma, two cash-crop-growing regions in Tanzania that experienced a precipitous coffee price decline around the turn of the...

"This report has two objectives. It assesses the nature and the extent of vulnerability among rural households in Tanzania with a particular focus on smallholder cash crop growers through exploring all risks, including the decline in commodity prices. It further explores the potential role for...

After many years of relatively slow growth, Tanzania's national accounts data report accelerated aggregate growth since around 2000. Our analysis shows that there has been somewhat slower growth in private consumption and in sectors such as agriculture in which most of the poor work and live....

Post-Harvest Losses (PHL) are considered to pose important economic losses for farmers in developing countries. This paper examines the effects of an intervention in Tanzania, aimed at reducing PHL of maize growing farmers during maize storage. Farmers were invited to attend a training on best...