Willingness to Pay and Participate in Improved Water Quality by Lay People and Factory Workers: A Case Study of River Sosiani, Eldoret Municipality, Kenya

People's attitude towards willingness-to-pay for environmental protection in Pakistan

Recent environmental research has found that people with higher incomes and in more developed countries are more willing to pay (WTP) to protect their environment than people in developing countries. Based on this assumption, the study investigated Pakistani citizens' attitudes toward environmental protection, precisely their willingness to pay higher prices and taxes to preserve the natural environment. The research was carried out in three Punjab cities (Hasan Abdal, Wah, and Taxila) and four KPK cities (Abbottabad, Havelian, Mansehra, and Haripur). The selected cities are home to knowledgeable people who work in various universities, schools, hospitals, medical colleges, and nearby industrial estates and have a sense of environmental protection and can understand the healthcare issues related to environmental damages. The survey was divided into two sections: one about the participants' socio-demographic information and the other about people's willingness to pay higher prices and taxes to protect the environment. Four hundred and sixty-two people took part in the survey, and the data were analyzed using the bootstrap regression approach. The results show that gender has a detrimental impact, although population density and education positively impact a country's willingness to pay for environmental protection (WTPEP). Women are more likely to engage in pro-environmental behavior than men, resulting in disparities in their perceptions of male and female respondents in the study. People who live in crowded places tend to pay for environmental protection because of population density, healthcare difficulties, and air pollution. The respondents are well-versed in the externalities of environmental pollution; they are hopeful about paying for a better healthcare environment. Other criteria, such as the respondent's income, health status, total pollution level in the country, and per capita income, enable respondents to pay for environmental preservation to achieve long-term sustainable growth. The government must embrace air quality regulations and empower its citizens by offering better healthcare services since they are enthusiastic about paying higher taxes and fees to protect the environment.

Cost Estimations of Water Pollution for the Adoption of Suitable Water Treatment Technology

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.