This study uses household survey data from four Kenyan towns to examine the effect of households' characteristics and risk perceptions on their decision to treat/filter water as well as their choice of main drinking water source. Because the two decisions may be jointly made by the household, a seemingly unrelated bivariate probit model is estimated. It turns out that treating non-piped water and using piped water as a main drinking water source are substitutes. The evidence supports the finding that perceived risks significantly correlate with a household's decision to treat/filter unimproved nonpipe water before drinking it. The study also finds that higher connection fees reduce the likelihood of households connecting to the piped network. Because the current connection fee acts as a cost hurdle that deters households from getting a connection, the study recommends a system where households pay the connection fee in instalments, through a prepaid water scheme or through a subsidy scheme.

The increased access of African countries to external capital markets has rekindled interest in growing external borrowing and placed debt sustainability at the forefront of the continent's policy agenda. In this article, we discuss the conceptual link between external loans and debt challenges. In this article, the analysis is cast in the context of new sources of loans triggered by Sino–African co‐operation. The article examines the main sectors targeted for financing in Kenya, how the Chinese‐funded projects have been structured, the financial models adopted to deliver on the projects, and the overall gains from such projects. Ultimately, the article examines the external debt situation in Kenya and how Chinese loans are likely to precipitate a crisis of sustainability. The analysis shows that, although the external financial support plays a critical role in addressing the gap in Kenya's infrastructure development, the loans also pose risks of debt sustainability in the longer term, Chinese loans particularly are tied and lack transparency. The emerging debt challenges point to the need for policy reforms in favour of enhancing loans transparency and the beneficial impacts. This would enhance the repayment capacity of borrowing countries.

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This study aimed at examining the relationship between public spending and economic growth and how the composition of government expenditure affects economic growth in Kenya using time series data from 1980 to 2014. To achieve the objectives, modified Granger causality and Autoregressive Distributed Lag model (ARDL) were used. The results revealed both short term and long term causality from economic growth to government expenditure but only short run causality from government expenditure to economic growth. Based on the economic classification, the long run ARDL regression results showed development expenditure promotes economic growth while government purchases have no significant effect on GDP. Other control variables such as inflation and unemployment had negative effect on economic growth. In terms of functional classification, the regression results showed that expenditure on education and infrastructure are important drivers of economic growth. The positive effect of health expenditure was not significant.  Further, the regression results indicated that domestic savings and trade openness had significant positive effect on economic growth. Based on the empirical findings this study therefore recommends resources to be directed towards financing public infrastructure investment to improve economic performance. The study also recommends increasing resource allocation in the education sector to improve efficiency and support skills and human capital development that are important in promoting economic growth through increases in labor productivity. The study also recommends policymakers to enhance domestic resource mobilization and pursue favorable trade policies aimed at fostering robust economic growth.

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Kenyan households, as in many rural areas in developing countries, suffer frequently from effects of shocks. Yet, they have limited access to effective coping strategies. Vulnerable households end up resorting to ineffective coping strategies such as distressed sales of farmland. Distress land sales limit household productive capacity and increase vulnerability to future shocks, thus entrenching poverty. Using a nationally representative data collected in two waves, we examine the circumstances under which rural households in Kenya sell farmland following shocks. We find that specific shock characteristics, household characteristics and the household social and physical environments are associated with distress sales of farmland. The likelihood of selling farmland was higher for idiosyncratic shocks and those that resulted in higher monetary and material losses. The likelihood of engaging in distress land sales was also higher in households with older heads, with more land holding, where land markets existed and in households that depended on social safety nets. The likelihood of distress sales was however lower in households with more educated heads, more livestock value and access to all-weather roads. These findings are thereafter discussed in the Kenyan context, and policy suggestions are offered for building rural households' resilience to shocks.