The primary objective of this study is to examine the effect of farm size on economic efficiency among wheat producers and to suggest ways to improve wheat production in the country. Specifically, the study attempts to estimate the levels of technical, allocative, and economic efficiencies among the sampled 130 large and small scale wheat producers in Nakuru District. The social-economic factors that influence economic efficiency in wheat production have also been determined. Results indicate that the mean technical, allocative, and economic efficiency indices of small scale wheat farmers are 85%, 96%, and 84%, respectively. The corresponding figures for the large scale farmers are 91%, 94%, and 88%, respectively. The number of years of school a farmer has had in formal education, distance to extension advice, and the size of the farm have strong influence on the efficiency levels. The relatively high levels of technical efficiency among the small scale farmers defy the notion that wheat can only be efficiently produced by the large scale farmers.

In this study we use household panel data collected in Marsabit district of Northern Kenya, to analyse the patterns of livelihood sources and poverty among pastoralists in that area. We estimate income poverty using imputed household income relative to the adjusted poverty line and asset poverty using a regression-based asset index and tropical livestock units (TLU) per capita. Our results indicate that keeping livestock is still the pastoralists’ main source of livelihood, although there is a notable trend of increasing livelihood diversification, especially among livestock-poor households. The majority of households (over 70%) are both income and livestock-poor with few having escaped poverty within the five-year study period. Disaggregating income and asset poverty also reveals an increasing trend of both structurally poor and stochastically nonpoor households. The findings show that the TLU-based asset poverty is a more appropriate measure of asset poverty in a pastoral setting.

The COVID-19 pandemic caused an unprecedented disruption of food systems worldwide, with most governments taking severe containment measures to curb the spread. This resulted in unpredicted negative impacts of the agri-food supply chains coupled with food price inflations. Ultimately, this affected the food security and urban livelihoods for most households, who are dependent on urban markets for food supply. This study examined the implications of the pandemic on food prices and commodities supplies to urban markets conducted through structured interviews. A review of the secondary data was also conducted to show the trends of commodity prices over the last 5 years. The high inflation of commodity prices with a decline in sales volumes was reported by most traders (97%) with decreases in supply quantities. Changes in the consumption behaviour in households was reported by consumers (75%), with 65% experiencing reduced food diversity at home. Households adopted varied coping mechanisms, including reduced food portions (52%), reduced food varieties (44%) and skipping meals (32%). Market prices increased by an average margin of 13.8% for grains and pulses with price decline observed for cabbages (−30.8%) and Irish potatoes (−19.4%). The findings may inform policymakers of additional future shock and pandemic control protocols, whose actions would assure food protection of urban livelihoods.

To throw light on the challenge of providing education to pastoral households in the context of social and economic change, this study investigates the effects of herd migration on child schooling in Northern Kenya. Specifically, the analysis uses both household panel data and community-level focus-group data to identify the barriers to schooling, which include an insufficient number of schools, nomadism and communal conflicts. The results also reveal that herd migration has a significantly negative effect on school attendance – about a 26% probability of failure to attend among the children of livestock migrating households. The child’s age and mother’s literacy have a positive impact on child school attendance, but with girls more likely to attend than boys, probably because of higher opportunity costs. That is, attending school takes boys away from activities like herding, which have greater economic value than the nonmonetisable household duties performed by girls.