Nevertheless, it is reasonable since the illegal dumping is a usual waste handling method of HH_NCVs due to inaccessibility to the collection. Furthermore, the increase of generated waste amount would positively change the WTP answers and significantly raise the bid values. Large-volume-waste generators might need a proper mean to manage their waste.
Dissimilarly, low-volume-waste generators would present zero or low WTP if they consider themselves the least or none pollutant. The positive coefficient of variable namely Satisfaction with waste management (X7) was expected; therefore, the willingness is positively high if the management situation were dissatisfactory. In another word, it is not, in case the HH_NCVs are satisfied, even if the collection were not served.
The results of Chi-square and Wald statistics of both models are significant at p-value < 0.01.
In the Logistic model, Chi-square of Hosmer-Lemeshow test results in 2.807 at a significance level of 0.946. The Nagelkerke R2 is 0.231 while the Cox and Snell R2 is low at 0.042. The R2 of the Tobit model is 0.222.
frequency does not meet the users’ needs, especially households whose waste volume is large. The provision of satisfying collection service to all the families seems to be unreachable. Other countermeasures must be considered to manage the uncollected garbage.
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Chapter Seven
Modelling of Household Waste Segregation-based Management