To browse Academia. This paper assesses the value of mitigating erosive runoff events in a severely prone watershed of France using a discrete choice experiment approach. Good farming practices are integrated together with flood protection programs within a common management policy. The inclusion of risk exposure and socio-demographic variables in a random parameter logit model allows accounting for both latent and observed heterogeneity in preferences.
Results show substantial benefits for each of the management alternatives valued. Results also identify that preferences significantly vary across respondents which suggests that policy makers should consider heterogeneity in preferences when designing policies for various area profiles in order to closely monitor welfare improvements. This paper employs the discrete choice experiment method to estimate the benefits of improved wastewater treatment programs to mitigate the impacts of water pollution in Nairobi, Kenya.
Urban and peri-urban farmers who use wastewater for irrigation from Motoine-Ngong River in Nairobi were randomly selected for the study. A random parameter logit model was used to estimate the individual level willingness to pay for the wastewater treatment before reuse in irrigation.
The results show that urban and peri-urban farmers are willing to pay significant monthly municipality taxes for treatment of wastewater. We find that the quality of treated wastewater, the quantity of treated wastewater and the riverine ecosystem restoration are significant factors of preference over alternative policy designs in reduction of water pollution.
Predicting the effects of a range of possible LUCCs helps local authorities choose policies that can help to mitigate the risks to which local populations are exposed.
