This study establishes the hazard rate of exports from Kenya and identifies factors that explain the duration of exports using a discrete‐time random effects logit regression model. A difference‐in‐differences estimator is used to assess the effects of AGOA. Export data between Kenya and 176 partners over 21 years (1995–2016) is used. We find that first‐year survival rate is 39%. The median duration of Kenya’s exports is 1 year. AGOA enhances export survival, especially for apparels. COMESA also increases export survival but EAC has a dampening effect, even in SSA region. Differentiated products unlike capital‐intensive products improve export survival.

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Sweet potato is a traditional crop grown in most parts of Kenya. In Nyanza Region, Kisii County and Mosocho sub-county in particular are major producers of the crop. However, only less than half of the produce is marketed and the growers are largely poverty stricken. This paper investigates why so little of the produce is marketed. Using primary data collected from a survey of 108 farmers in Mosocho, the study estimates a logit model to explain the factors that influence commercialization of sweet potatoes in the area. Results show that poor market information for the many farmers who are not members of any cooperative society, limited non-farm incomes, and urbanization are the major factors constraining commercialization of the root crop. Interventions that promote cooperatives and rural industrialization could go a long way in boosting trade in sweet potatoes.

Purpose: This study attempted to examine the economic contribution made by Ngong forest to rural households that surround it.Methodology: The study area that the sample was drawn from was the Kibiko Holding Ground with a population of 1,025 and 199 households. The study population was 199 households as households were the study unit. A sample size of 55 households was identified through systematic random sampling. Results: indicated that the forest resources that are mostly extracted by the households are firewood, followed by honey, poles, vegetables and finally medicinal herbs. Study results also revealed that only the count of livestock and the quintile income mattered in the extraction of forest resources. The rest of the socioeconomic factors (gender, literacy, years of education, age, family size, family composition, sickness shocks) did not matter for forest resource extraction.Conclusion and Recommendation: The study concluded that poorer households are more resource dependent than the rich. In addition, forest income contributes significantly towards household welfare. Hence, an effort to balance between environmental concerns and sustainable livelihoods should ensure that families living in the area are paid an equivalent KES 5,309 per month to alleviate their suffering in case they were to be translocated to other non forest areas.

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