This study analyzed the cost implications of using suitable technologies and the cost of inaction when addressing water pollution. This was achieved by developing three main models for the costs (model one) and benefits (model two and model three). The first model accounts for the operational costs of adopting suitable technologies, namely the use of diatomaceous earth for textile wastewater treatment. The second model analyzed the cost of inaction through analyzing the cost of treatment for water pollution-related diseases for the affected population. The occurrence and cost of treatment for three diseases, namely diarrhea, amoebiasis and bacterial infection, were used as indicators of water pollution in the area. The third model included the contingent valuation method (CVM) data on the willingness to pay for environmental restoration of the surveyed population. The benefit–cost ratio (BCR) of the resulting data from the three models were used to highlight the economic viability of the proposed project. A BCR of (0.67) for the cost of the proposed project versus the benefits of the project on human health using data from one hospital was obtained. There is a high possibility that the real BCR would increase if more data from other hospitals or other diseases were included. The results imply that the use of D.E can be considered a good candidate for treating wastewater. To thoroughly discuss the BCR of treating wastewater from one factory, the BCR of the proposed restoration project along River Sosiani, and the value of using DE as suitable technology, more studies are needed to evaluate the unaccounted costs and benefits for accurate economic estimations of the proposed project. The outcome of the study is a framework of numbers and figures that can be presented to decision makers and policy makers as critical information when making decisions.

This study evaluates the differences between risk predictors and risk perception regarding water pollution. Specifically, it focuses on the differences in risk perception between factory workers and lay people situated in textile industries near the River Sosiani in Eldoret, Kenya. The lay people are divided into two groups. The respondents living downstream are situated mostly in town centers and at the mid/lower parts of the river, and the respondents living upstream are mainly found at the upper parts of the River Sosiani. Data were obtained from 246 participants using questionnaires. Several factors influencing risk perception were selected to evaluate the degree of perceived risk amongst the groups. Descriptive statistics, mean score and correlation analyses, and multiple linear regression models were used to analyse the data. The one-way ANOVA results showed statistically different levels of risk perceptions amongst the groups. The partial and bivariate correlation analyses revealed the differences in scientific knowledge between respondents upstream and downstream. The multiple linear regression analysis showed that each group used different variables to determine risks in the region. In the factory group, 56.1% of the variance in risk perception is significantly predicted by sensorial factors, trust in the government’s capacity to manage water pollution and the impact of water pollution on human health. About 65.9% of the variance in risk perception of the downstream inhabitants is significantly predicted by sensorial factors, the possibility of industries generating water pollution, and previous experience with water pollution. For the respondents located upstream, age, sensorial factors, trust in the government and the possibility of being impacted by water pollution factors significantly predicted 37.05% of the variance in risk perception. These findings indicate that enhanced public participation in water governance amongst the residents of Eldoret town is needed, along with an understanding of the different characteristics of the respondents in the region during risk communication. This will boost awareness in the region and promote the adoption of better practices to minimise the adverse effects of water pollution faced by the region.

Water resources are an essential component of a country’s natural resource potential. Pressure on these resources is set to increase due to increased water demand, climate change and rainfall variability. This could lead to conflicts between sectoral users, within or between countries, especially among transboundary countries. Interest in transboundary water resources is a priority, especially where issues such as uncertainty regarding the status of transboundary waterbodies and reductions in water volume persist. In this study, we used the feed-forward neural network to forecast water demand along the Nile River in two countries, Egypt and Kenya. Two scenarios were modelled. Input data for the first scenario included preceding records of precipitation, gross domestic product, population and water use in the agricultural sector. The second scenario observed the effects of the growing economy on water resources by doubling the gross domestic product and keeping all other inputs constant. For Kenya, the results projected a steady increase in water demand throughout the next 20 years for both scenarios. However, for Egypt, the observed trend in both scenarios was a decline in water demand, followed by a steady increase. The results underscore the importance of forecasting for easier future planning and management, and to help governing bodies along transboundary water resources develop timely strategies in the future to alleviate future water shortages and poor management of water resources.

This paper examines the willingness to pay for and participate in volunteer activities for the restoration of the Sosiani River in Eldoret, Kenya. The willingness to pay is examined through two scenarios which differ in the organizations conducting the proposed project. The study focuses on factory workers situated in textile industries and lay people living in the area, who are divided into two groups: respondents living downstream, who are situated mostly in town centers and at the mid/lower parts of the river and the respondents living upstream, mainly found at the upper parts of the River Sosiani. The study employs the double-hurdle model to identify the factors that influence the willingness to pay (WTP) for improved water quality in the area. An ordinal regression model is used to analyze the willingness to participate and its influencing factors. The results of the study show that an average of 74.4% of the 279 respondents studied were willing to pay for river restoration in the area. The mean willingness to pay for the government proposed scenario was KSh 182.51 (1.66$) per household/month and KSh 169.28 (1.54$) per household/month for a non-governmental proposed project. Within the groups upstream and downstream, inhabitants had higher mean scores for a non-government project as compared to a government project, while the reverse was observed in the factory group. The empirical results of this study show that risk perception, trust and socio-demographic variables were significant factors on the stated amount and the decision to participate of the respondents. The characteristics of respondents with zero WTP, who comprised a significant amount of the respondents (25.6%), are also analyzed in depth shaping the recommendations of this study. The empirical results show that the number of years lived in the community is a major determinant on willingness to participate and pay for environmental restoration projects in the area. The results of this study could influence decision makers in general and have potential implications that can be applied in other sectors not necessarily related to water issues.

The development of sustainable food production requires reducing the strain from present production systems on the environment using novel/disruptive technologies, one of which is to use grass as an abundantly available raw material, either minimally processed grass or grass-derived ingredients. With grass supplies readily available and the potentially significant carbon footprint reduction that this technology offers, this is an opportunity for sustainable production of much-needed food ingredients for human consumption. This study investigates UK consumers’ acceptance of grass-derived ingredients and examines the factors influencing their willingness to adopt these innovations as part of their diets. This study was conducted through a cross-sectional study in the UK, in which the participants were divided into three groups based on meat avoidance, i.e., meat reducers, meat avoiders, and meat consumers. The key findings emphasise the importance of education on grass-derived products to enhance consumer awareness and confidence. Other factors—such as age, meat attachment, grass-derived ingredients’ characteristics, social norms, and attitudes—have influenced willingness to try (WTT)/accept grass-derived ingredients. The findings suggest that while grass-derived ingredients in human diets may struggle to gain positive perceptions, targeted product development and marketing strategies tailored to highlight grass-derived ingredients’ nutritional benefits and safety are key to reshaping perceptions and fostering consumer readiness for novel food technologies in the UK.

Noting the geopolitical implications of water demand and stress issues on water resources worldwide, this study investigated water demand, changes in water use patterns and water stress developments in the Nile Basin transboundary water resource by comparing Egypt and Kenya. Using an integrative literature review, the study summarises past research, drawing overall conclusions and highlighting unresolved issues. The findings demonstrate increased water withdrawals and a growing unmet demand in both countries. In addition to changing water use patterns towards municipal and industrial use, hydropower development in Kenya and navigation in Egypt are being driven by factors such as heightened upstream use, population growth and settlement patterns, economic development and climate change. In addition, spatial distribution of water stress was demonstrated, whereby downstream countries such as Egypt remain critically vulnerable, although upper riparian countries such as Kenya are gradually also facing emerging water stress problems. This water stress and its spatial distribution are being driven by supply–demand imbalances related to population growth and economic development, escalating upstream water use, deteriorating water quality, inefficient and ineffective water use and climate change. The findings inform a discussion of the crucial socioeconomic, geopolitical and policy implications for riparian countries in the Nile Basin and other transboundary water resources worldwide.