Search

Background: The coronavirus disease 2019 (COVID-19) pandemic has had large negative effects on countries' economies and individual well-being throughout the world, particularly in low- and middle-income countries. Pandemic-related changes in behavior and government restrictions in Kenya may have negatively affected food supply chains and household food access; however, the empirical evidence is currently limited. Objectives: The study explored changes in informal milk markets, dairy consumption, and food insecurity among low-income households in urban and periurban Nairobi, Kenya, following the start of the COVID-19 pandemic in the country. Methods: Baseline data on milk sales and consumption were collected in late 2019 from dairy vendors operating in the informal sector and their dairy customers. We conducted 2 longitudinal telephone surveys with the same study participants in July and September--October 2020, respectively. Results: At the first follow-up, the volume of milk sold by informal vendors had dropped by 30% compared with their baseline level, and the volume of milk from informal markets consumed by households decreased by 23%. By the second follow-up, the volume of milk sold and consumed had recovered somewhat but remained lower than the volume observed 1 y prior in the same season. Large reductions in the consumption of other animal--sourced products were also observed. The rate of food insecurity increased by 16 and 11 percentage points in the first and second follow-up periods, respectively, compared with baseline. Conclusions: The evidence, therefore, suggests that the timing of the pandemic and the related restrictions were associated with a decrease in the supply and consumption of milk from informal markets in Nairobi and a decrease in the food security of periurban consumers. [ABSTRACT FROM AUTHOR]

When the COVID-19 pandemic unfolded, public health measures were implemented globally. Early on, concerns grew that lockdowns and travel restrictions could have severe consequences, especially for marginalized communities in the Global South. In Sub-Saharan Africa, wood charcoal is not only an important cooking fuel, but provides income for many rural households. Despite its economic value, the charcoal sector is, however, largely unregulated and viewed exclusively as an environmentally damaging industry by policy makers and the public who make it responsible for large-scale deforestation. The present study employs a sustainable livelihood framework to assess the ability of charcoal producers in northwestern Kenya, to cope with a short-term shock such as the COVID-19 pandemic and preventive measures. It furthermore compares their access to health information to that of non-producers. A street survey of 139 respondents allowed to gain rapid insights into the realities of a group not accessible via online or telephone surveys. The results show that 87 % of charcoal producers face severe decline of this economic practice because of limited market access. These losses cause them food insecurities, while non-charcoal producers are more worried about social consequences of the restrictions. Though charcoal producers and non-producers feel equally well informed about the pandemic, producers are less likely to access reliable information channels than non-producers, resulting in an uneven distribution of health information across the community. By investigating the response of producers to an external shock and limited market access this study adds to the understanding of local vulnerabilities and the sustainability of rural livelihood strategies. This research argues for inclusive policy response to ensure consideration of the informal sector in crisis response as well as to provide adequate and low-threshold access to health information. [ABSTRACT FROM AUTHOR]

In Kenya, very little research has been carried out on the topic of the informal sector. This paper estimates the size of the Kenyan informal sector for the period 1970–2018. In light of our analysis of the stationary properties of the data, which suggests a mixture of I(0) and I(1) variables, this study specifies an Autoregressive Distributed Lag Model (ARDL), which is applied to variables that pose such attributes. In addition, the model is good for small sample size observation, a characteristic that is common among developing countries. Our estimates indicate that this sector is quite large and has grown over time to about 32% of the country's GDP or nearly one-third of the size of the recorded GDP. These results are consistent with the stylized fact about the Kenyan economy, in particular the large number of individuals employed in small businesses and trading as well as the number of tax returns filed on an annual basis versus the stated level of employment. The finding of a significant informal sector also has implications for the conduct of fiscal policy. The sector should not be wound abruptly since it provides employment to many Kenyans. The fiscal policy should aim at reducing the tax burden so that the participants in the informal sector gradually formalize their businesses. [ABSTRACT FROM AUTHOR]