The Use of Household Willingness to Pay Information in Sanitation Planning

Résumé du livre

"Two models that predicted sanitation coverage in Kumasi were developed using household willingness to pay (WTP) information. Most (90%) households in Kumasi live in apartment buildings. It was unclear how to use household WTP information to predict building decisions. The Household Decision Model (HDM) used the WTP frequency distribution to estimate the number of individual households that would decide to use Kumasi Ventilated Improved Pit Latrines (KVIPs). The Building Decision Model (BDM) aggregated household WTP information to predict the number of apartment building owners that would choose to construct KVIPs. Both models estimated the subsidy cost and capital cost of providing Kumasi households with KVIPs. A sensitivty analysis was performed on the BDM showed it to be highly sensitive to key assumptions concerning the aggregation of household WTP information. This sensitivity suggested that improving the accuracy and usefulness of models such as the HDM and BDM requires a more complete understanding of group decision behavior in Kumasi than is presently available."--Leaf [i].